Twoflower was a tourist, the first ever seen on the discworld. Tourist, Rincewind decided, meant idiot.' Somewhere on the frontier between thought and reality exists the Discworld, a parallel time and place which might sound and smell very much like our own, but which looks completely different. Certainly it refuses to succumb to the quaint notion that universes are ruled by pure logic and the harmony of numbers. But just because the Disc is different doesn't mean that some things don't stay the same. Its very existence is about to be threatened by a strange new blight: the arrival of the first tourist, upon whose survival rests the peace and prosperity of the land. But if the person charged with maintaining that survival in the face of robbers, mercenaries and, well, Death, is a spectacularly inept wizard, a little logic might turn out to be a very good idea...

An invaluable guide on how to "lighten up" from a distinguished pro who has provided laughs for JAY LENO, BILLY CRYSTAL, STEVE MARTIN, ROBIN WILLIAMS, BRAD GARRETT, WHOOPI GOLDBERG, AND MANY MORE.Who hasn't wished for the perfect withering comeback line, a clever tension-breaking quip, or a winning flirtatious remark? Being funny is hard work and not everyone is a natural. How to Be Funny is a witty guide that teaches readers precisely how to be funnier in everyday life. It's a must-read for anyone who has to speak in public, be engaging and funny at work or at play, or who hopes to one day go out on a date.

Jon Macks, a comedy writer for The Tonight Show with Jay Leno, the Academy Awards, the Emmy Awards, Hollywood Squares, and the nation's top comedians, politicians, and corporate leaders, knows his funny business. Here he demystifies the process of making people laugh, breaks down the basic building blocks and types of humor -- which include self-deprecation, misdirection, deadpan delivery, sarcasm, and "the reverse" -- and reveals the best approaches to use in common situations.

How to Be Funny features helpful (and hilarious) tips and anecdotes from the comic legends Mack's worked with -- including Jay Leno, Arsenio Hall, Gilbert Gottfried, Billy Crystal, Rita Rudner, Dave Barry, and Carrie Fisher -- in his eleven years as one of the nation's top television writers.

Whether the goal is to give a memorable public address or deliver a killer line with friends, How to Be Funny is a charming, instructive, and practical read.

How to Make People Laugh is a book that targets regular comedians, such as you and me. It does not try to transform you into a professional comedian. Instead, it puts comedy in the spotlight of everyday life.

With this book, you will learn techniques that you can easily incorporate at parties or even in regular banter with friends and colleagues.

How to Make People Laugh maintains its hold on wholesome family goodness. After all, you are trying to create not just a comedic persona but an overall persona. You want people to see you a certain way. Are you Hilarious Harry, Dad Joke Diego, Sarcastic Sharon, or Deadpan Dan? All of those are better than Offensive Oona, Dirty Joke Dean, and Literal Lisa.

This book will show you how to have a general sense of humor—or make full use of the one that you already have. After all, not all jokes are uproariously funny. Some can make you grin. Some can make you smile. So, if you start out making people smile, instead of making them laugh, you are on your way.

A straightforward, often humorous workbook approach to comedy writing as creative problem-solving. In it, veteran Hollywood comedy writer John Vorhaus offers his tools of the trade to writers, comics, and anyone else who wants to be funny. Among these indispensable tools are Clash of Context, Tension and Release, The Law of Comic Opposites, The Wildly Inappropriate Response, and The Myth of the Last Great Idea. Readers will learn that comedy = truth and pain (the essence of the comic situation), that fear is the biggest roadblock to comedy (kill the ferocious editor within and rich, useful comic ideas will flow), and much more.

First published in 1899, 'The Interpretation of Dreams' written by Sigmund Freud, presents the theory of the unconscious with respect to dream interpretation and discusses what would later become the theory of the Oedipus complex. Sigmund Freud is an Austrian neurologist and the founding father of psychoanalysis, a method for treating mental illness and also a theory that explains human behavior. Freud believed that events in our childhood hold a great impact on our adult lives, shaping our personality. In creating psychoanalysis, Freud designed therapeutic techniques such as the use of free association and discovered transference, establishing its central role in the analytic process. Freud saw that man is at war with himself and often unable to tolerate too much reality. He propounded the theory that dreams are the contraband representations of the beast within man, smuggled into awareness during sleep. In Freudian interpretation, the analysis of dreams is the key to unlocking the secrets of the unconscious mind.

Normale mensen van Sally Rooney is een intense liefdesgeschiedenis over de diepgaande invloed die geliefden op elkaars leven hebben – en het groeiende besef daarvan naarmate de jaren verstrijken. In Normale mensen vertelt Sally Rooney de liefdesgeschiedenis van Marianne en Connell. Normale mensen is nu ook verfilmd, de serie Normal people is in Nederland te zien op NPO3. Marianne en Connell groeien op in hetzelfde stadje in landelijk Ierland, waar hun verschillende werelden nauwelijks overlappen. Ze ontmoeten elkaar alleen wanneer de moeder van Connell het huis van Marianne schoonmaakt. Als ze beiden naar het prestigieuze Trinity College in Dublin gaan, blijkt op die universiteit dat zich door de jaren heen een diepe band heeft gevormd. Normale mensen van Sally Rooney is een verhaal over de diepgaande invloed die geliefden op elkaars leven hebben, en het groeiende besef daarvan naarmate de jaren verstrijken. Een intense roman die je je eigen liefdes laat herbeleven. ‘Het is vooral in de bespiegelingen van beide hoofdpersonen dat Rooney haar verbijsterende meesterschap toont.’ – de Volkskrant ‘Opnieuw schittert deze zelfverzekerde Ierse schrijver met een kalme roman waarin een onderhuids drama schuilt. – NRC Handelsblad ‘In bedrieglijk vanzelfsprekend proza dat zijn technisch vernuft soms welhaast verlegen lijkt te willen verbergen, tekent Rooney de eerste jongeren die weten dat ze het slechter zullen hebben dan hun ouders als een groep die zich, met het eigen gevoelsleven als enige houvast, een weg moet zoeken in een wereld die ideologisch en economisch op losse schroeven staat.’ – Humo ‘Meer! denk je, als het uit is. Nog meer! Niet stoppen!’ – De Groene Amsterdammer ‘En schrijven kan Rooney. Haar lezen is een ongemeen spannende ervaring. Rooney’s originaliteit schuilt in haar sensitiviteit en inzicht. Ze floreert in dialogen waarin mensen nooit precies onder woorden brengen wat ze bedoelen en in het commentaar dat die wankele inborst subtiel openbaart.’ – Trouw Tip DWDD Boekenpanel!

If you’ve ever wanted to know how to use OKRs, or why yours might not be working, Radical Focus teaches you everything you need to achieve your goals. The author pulls from her experience with Silicon Valley’s hottest companies to teach practical insights on OKRs in the form of a fable.When Hanna and Jack receive an ultimatum from the only investor in their struggling tea supply company, they must learn how to employ Objectives and Key Results (OKRs) with radical focus to get the right things done. Using Hanna and Jack’s story, Wodtke walks readers through how to inspire a diverse team to work together in pursuit of a single, challenging goal, and how to stay motivated despite setbacks and failures.Radical Focus has been translated into six languages and sold more than 50,000 copies. Now, the second edition of her OKR manifesto proves that Wodtke’s business strategies are essential in a world where focus seems to be a more and more unreachable goal. The updated version includes 22,000 words of all-new material designed to help OKR users in larger companies create, grade, and manage OKRs in ways that accelerate success and drive rapid organizational learning.Ready to move your team in the right direction? Read this book together, and learn Wodtke’s powerful system for attaining your most important goals with radical focus.

Nothing “goes viral.” If you think a popular movie, song, or app came out of nowhere to become a word-of-mouth success in today’s crowded media environment, you’re missing the real story. Each blockbuster has a secret history—of power, influence, dark broadcasters, and passionate cults that turn some new products into cultural phenomena. Even the most brilliant ideas wither in obscurity if they fail to connect with the right network, and the consumers that matter most aren't the early adopters, but rather their friends, followers, and imitators -- the audience of your audience.

In his groundbreaking investigation, Atlantic senior editor Derek Thompson uncovers the hidden psychology of why we like what we like and reveals the economics of cultural markets that invisibly shape our lives. Shattering the sentimental myths of hit-making that dominate pop culture and business, Thompson shows quality is insufficient for success, nobody has "good taste," and some of the most popular products in history were one bad break away from utter failure. It may be a new world, but there are some enduring truths to what audiences and consumers want. People love a familiar surprise: a product that is bold, yet sneakily recognizable.

Every business, every artist, every person looking to promote themselves and their work wants to know what makes some works so successful while others disappear. Hit Makers is a magical mystery tour through the last century of pop culture blockbusters and the most valuable currency of the twenty-first century—people’s attention.

From the dawn of impressionist art to the future of Facebook, from small Etsy designers to the origin of Star Wars, Derek Thompson leaves no pet rock unturned to tell the fascinating story of how culture happens and why things become popular.

In Hit Makers , Derek Thompson investigates:
· The secret link between ESPN's sticky programming and the The Weeknd's catchy choruses
· Why Facebook is today’s most important newspaper
· How advertising critics predicted Donald Trump
· The 5th grader who accidentally launched "Rock Around the Clock," the biggest hit in rock and roll history
· How Barack Obama and his speechwriters think of themselves as songwriters
· How Disney conquered the world—but the future of hits belongs to savvy amateurs and individuals
· The French collector who accidentally created the Impressionist canon
· Quantitative evidence that the biggest music hits aren’t always the best
· Why almost all Hollywood blockbusters are sequels, reboots, and adaptations
· Why one year--1991--is responsible for the way pop music sounds today
· Why another year --1932--created the business model of film
· How data scientists proved that “going viral” is a myth
· How 19th century immigration patterns explain the most heard song in the Western Hemisphere

What if 'positive thinking' and relentless optimism aren't the solution to the happiness dilemma, but part of the problem? Oliver Burkeman turns decades of self-help advice on its head and paradoxically forces us to rethink our attitudes towards failure, uncertainty and death. It's our constant efforts to avoid negative thinking that cause us to feel anxious, insecure and unhappy. What if happiness can be found embracing the things we spend our lives trying to escape? Wise, practical and funny, The Antidote is a thought-provoking, counter-intuitive and ultimately uplifting read, celebrating the power of negative thinking.'Burkeman has written some of the most truthful and useful words on happiness to be published in recent years' Guardian

'Emma's book is a masterclass in helping us to tune into all the empowering signals coming from within us.' - You Magazine, Mail on Sunday Tune into yourself and transform your life - your healing journey of self-discovery starts HERE!When there is so much going on in our modern lives how do we filter out what feels right from what feels wrong? How do we become more in tune with who we really are and what we really need?With this ultimate spiritual life-coach - full of practical advice, exercises and meditations - learn how to develop your intuition and deepen your connection to your authentic self. Create positive change in all areas of your life, from improving your relationships and healing your stresses and anxieties, to nailing that big work presentation, achieving your fitness goals or breaking bad habits.

Discover the secret to changing your life is already inside you.

"Gildiner is nothing short of masterful — as both a therapist and writer. In these pages, she has gorgeously captured both the privilege of being given access to the inner chambers of people's lives, and the meaning that comes from watching them grow into the selves they were meant to be." — Lori Gottlieb, New York Times bestselling author of** Maybe You Should Talk to Someone

In this fascinating narrative, therapist Catherine Gildiner’s presents five of what she calls her most heroic and memorable patients. Among them: a successful, first generation Chinese immigrant musician suffering sexual dysfunction; a young woman whose father abandoned her at age nine with her younger siblings in an isolated cottage in the depth of winter; and a glamorous workaholic whose narcissistic, negligent mother greeted her each morning of her childhood with "Good morning, Monster."

Each patient presents a mystery, one that will only be unpacked over years. They seek Gildiner's help to overcome an immediate challenge in their lives, but discover that the source of their suffering has been long buried.

As in such recent classics as The Glass Castle and Educated , each patient embodies self-reflection, stoicism, perseverance, and forgiveness as they work unflinchingly to face the truth. Gildiner's account of her journeys with them is moving, insightful, and sometimes very funny. Good Morning Monster offers an almost novelistic, behind-the-scenes look into the therapist's office, illustrating how the process can heal even the most unimaginable wounds.

E-Squared could best be described as a lab manual with simple experiments to prove once and for all that reality is malleable, that consciousness trumps matter, and that you shape your life with your mind. Rather than take it on faith, you are invited to conduct nine 48-hour experiments to prove there really is a positive, loving, totally hip force in the universe.

Yes, you read that right. It says prove. The experiments, each of which can be conducted with absolutely no money and very little time expenditure, demonstrate that spiritual principles are as dependable as gravity, as consistent as Newton’s laws of motion. For years, you’ve been hoping and praying that spiritual principles are true. Now, you can know.

The Space Industry of the Future consists of the first instance of guidance for the space industry on how value creation in space can occur for the greater benefit of humanity using principles of capitalism and sustainability. The timing of this book is ideal given (1) sustainability challenges facing humanity and (2) that the growth of the commercial space economy is now occurring at a rate never seen before. This book presents an opportune guide written for technical, business, and policy practitioners alike that frames how this industry growth should occur from an integrated values and commercial perspective. This perspective is presented in the context of the modern technical capabilities of space systems relative to the world's greatest problems.

The guidance contained in this book for the growing commercial space industry includes considerations beyond profit seeking alone. This guidance is founded on a bespoke value creation criteria to apply in the context of for-profit outer space activities that, if used, will result in the maximum value creation that a company is capable of. The criteria are developed and presented through a rigorous discussion on capitalism, economics, value theory, the circular economy, stakeholder management, and ethics. The value creation criteria are then discussed at length in relation to the space industry.

The primary audience for this book is practitioners within the space industry; this includes investors, business managers, policy makers, engineers, and scientists. The secondary audience includes students and researchers, as well as a growing range of parties interested in space policy and entrepreneurship.

From the world-renowned sommelier Aldo Sohm, a dynamic, essential wine guide for a new generation NAMED ONE OF THE BEST COOKBOOKS OF THE YEAR BY FOOD52 Aldo Sohm is one of the most respected and widely lauded sommeliers in the world. He's worked with celebrated chef Eric Ripert as wine director of three-Michelin-starred Le Bernardin for over a decade, yet his philosophy and approach to wine is much more casual. Aldo's debut book, Wine Simple, is full of confidence-building infographics and illustrations, an unbeatable depth of knowledge, effusive encouragement, and, most important, strong opinions on wine so you can learn to form your own. Imbued with Aldo's insatiable passion and eagerness to teach others, Wine Simple is accessible, deeply educational, and lively and fun, both in voice and visuals. This essential guide begins with the fundamentals of wine in easy-to-absorb hits of information and pragmatic, everyday tips—key varietals and winemaking regions, how to taste, when to save and when to splurge, and how to set up a wine tasting at home. Aldo then teaches you how to take your wine knowledge to the next level and evolve your palate, including techniques on building a “flavor library,” a cheat sheet to good (and great) vintages (and why you shouldn't put everything on the line for them), tips on troubleshooting tricky wines (corked? mousy?), and, for the daring, even how to saber a bottle of champagne. This visual, user-friendly approach will inspire readers to have the confidence, curiosity, and enthusiasm to taste smarter, drink boldly, and dive headfirst fearlessly into the exciting world of wine.

Models is the first book ever written on seduction as an emotional process rather than a logical one, a process of connecting with women rather than impressing them. It's the most mature and honest guide on how a man can attract women without faking behavior, without lying and without emulating others. A game-changer.

Inside, you'll learn:

The root behavior that causes all female attraction.

Why typical dating advice and pick up theory is counter-productive in the long-run.

How to overcome nervousness and anxiety around attractive women.

How any man can make himself appear attractive with a little time and effort.

The three keys to keeping conversations with women interesting and engaging.

How to discover the beliefs and attitudes that are sabotaging your success with women.

How to develop a genuine and joyful sense of humor.

And much more...

What if charisma could be taught?For the first time, science and technology have taken charisma apart, figured it out and turned it into an applied science: In controlled laboratory experiments, researchers could raise or lower people's level of charisma as if they were turning a dial.

What you'll find here is practical magic: unique knowledge, drawn from a variety of sciences, revealing what charisma really is and how it works. You'll get both the insights and the techniques you need to apply this knowledge. The world will become your lab, and every person you meet, a chance to experiment.

The Charisma Myth is a mix of fun stories, sound science, and practical tools. Cabane takes a hard scientific approach to a heretofore mystical topic, covering what charisma actually is, how it is learned, what its side effects are, and how to handle them.

From the New York Times bestselling author of More Money Than God comes the astonishingly frank and intimate story of Silicon Valley’s dominant venture-capital firms—and how their strategies and fates have shaped the path of innovation and the global economyInnovations rarely come from “experts.” Elon Musk was not an “electric car person” before he started Tesla. When it comes to improbable innovations, a legendary tech VC told Sebastian Mallaby, the future cannot be predicted, it can only be discovered. It is the nature of the venture-capital game that most attempts at discovery fail, but a very few succeed at such a scale that they more than make up for everything else. That extreme ratio of success and failure is the power law that drives the VC business, all of Silicon Valley, the wider tech sector, and, by extension, the world.   In The Power Law, Sebastian Mallaby has parlayed unprecedented access to the most celebrated venture capitalists of all time—the key figures at Sequoia, Kleiner Perkins, Accel, Benchmark, and Andreessen Horowitz, as well as Chinese partnerships such as Qiming and Capital Today—into a riveting blend of storytelling and analysis that unfurls the history of tech incubation, in the Valley and ultimately worldwide. We learn the unvarnished truth, often for the first time, about some of the most iconic triumphs and infamous disasters in Valley history, from the comedy of errors at the birth of Apple to the avalanche of venture money that fostered hubris at WeWork and Uber.  VCs’ relentless search for grand slams brews an obsession with the ideal of the lone entrepreneur-genius, and companies seen as potential “unicorns” are given intoxicating amounts of power, with sometimes disastrous results. On a more systemic level, the need to make outsized bets on unproven talent reinforces bias, with women and minorities still represented at woefully low levels. This does not just have social justice implications: as Mallaby relates, China’s homegrown VC sector, having learned at the Valley’s feet, is exploding and now has more women VC luminaries than America has ever had. Still, Silicon Valley VC remains the top incubator of business innovation anywhere—it is not where ideas come from so much as where they go to become the products and companies that create the future. By taking us so deeply into the VCs’ game, The Power Law helps us think about our own future through their eyes.

Product Description

For the millions of Americans who want spirituality without religion, Sam Harris’s latest New York Times bestseller is a guide to meditation as a rational practice informed by neuroscience and psychology.

From Sam Harris, neuroscientist and author of numerous New York Times bestselling books, Waking Up is for the twenty percent of Americans who follow no religion but who suspect that important truths can be found in the experiences of such figures as Jesus, the Buddha, Lao Tzu, Rumi, and the other saints and sages of history. Throughout this book, Harris argues that there is more to understanding reality than science and secular culture generally allow, and that how we pay attention to the present moment largely determines the quality of our lives.

Waking Up is part memoir and part exploration of the scientific underpinnings of spirituality. No other book marries contemplative wisdom and modern science in this way, and no author other than Sam Harris—a scientist, philosopher, and famous skeptic—could write it.

In a challenging economy filled with multiple competitors, no one can afford to stagnate. Yet, innovation is notoriously difficult. How do you pinpoint the winning ideas that customers will love?

Sifting through purchasing data for clues about what might sell or haphazardly brainstorming ideas are typical strategies. However, innovation expert Stephen Wunker offers the effective Jobs method: determining the drivers of customer behavior--those functional and emotional goals that people want to achieve.

This simple shift in perspective opens up new insights about your customers and a wealth of hidden opportunities. For example, social media newcomer Snapchat used the Jobs process to capture the millennial demographic. By reducing functionality, the company satisfied its users' unmet need to document real life in the moment, without filters and like buttons.

Packed with similar examples from every industry, this complete innovation guide explains both foundational concepts and a detailed action plan developed by Wunker and his team.

In Jobs to Be Done , the groundbreaking Jobs Roadmap takes you step-by-step through the innovation process and reveals how to:

Gather valuable customer insights
Turn those insights into new product ideas
Test and iterate until you find original profitable solutions
And much more!
Jobs to Be Done gives you a clear-cut framework for thinking about your business, outlines a roadmap for discovering new markets, new products and services, and helps you generate creative opportunities to innovate your way to success.

Alexander (better known as "Sasha") and Ann Shulgin's PiHKAL: A Chemical Love Story has become a foundational work in the genre and was the first book to fully impart the how-to chemistry, and convey the effects, of many of the entheogenic drugs that are currently being studied and used to heal trauma and deal with death. An acronym for "Phenethylamines I Have Known and Loved", the book spans autobiography, organic chemistry, politics, ethnobotany, and psychopharmacology, and the cultural impact is likely to be profound for decades to come, as it has already. PiHKAL is divided into two parts, the first of which is a fictionalized autobiographical 'novel' - the main fiction is that it is fiction. This first half of the book is The Love Story, about two people named Shura and Alice who fall in love, though one of them is already in love with someone else. This love triangle is a painful ordeal they must go through, and that process unfolds before the reader with grace and great insight into human nature. Shura is a brilliant chemist who has dedicated his career to making psychoactive drugs, in the story they go through many experiences with the psychedelic compounds that Shura has discovered and has made in his lab, all of which have been bioassayed himself. The reader will find themselves going on this journey with them, experiencing what they experienced, both in their hearts and in the psychedelic journeys they have. The second half of PiHKAL is called The Chemical Story, and it contains detailed instructions for, and effects of, the synthesis of 179 psychedelic phenethylamines which were mostly discovered by Shulgin himself. For each substance there is information on its synthesis, suggested effective dosage, duration, and detailed commentary on the subjective effects that were experienced. This book appeals to adults of all ages and cultures, and to the psychedelically experienced and inexperienced alike.

Written for anyone who wants to grow at work—from young grads navigating their first jobs to CEOs deciding whether to sell their company— Build is full of personal stories, practical advice and fascinating insights into some of the most impactful products and people of the 20th century.

Each quick 5-20 page entry builds on the previous one, charting Tony’s personal journey from a product designer to a leader, from a startup founder to an executive to a mentor. Tony uses examples that are instantly captivating, like the process of building the very first iPod and iPhone. Every chapter is designed to help readers with a problem they’re facing right now—how to get funding for their startup, whether to quit their job or not, or just how to deal with the jerk in the next cubicle.

Tony forged his path to success alongside mentors like Steve Jobs and Bill Campbell, icons of Silicon Valley who succeeded time and time again. But Tony doesn’t follow the Silicon Valley credo that you have to reinvent everything from scratch to make something great. His advice is unorthodox because it’s old school. Because Tony’s learned that human nature doesn’t change. You don’t have to reinvent how you lead and manage—just what you make.

And Tony’s ready to help everyone make things worth making.

New York Times, Wall Street Journal, and USAToday Bestseller****

Tony Fadell led the teams that created the iPod, iPhone and Nest Learning Thermostat and learned enough in 30+ years in Silicon Valley about leadership, design, startups, Apple, Google, decision-making, mentorship, devastating failure and unbelievable success to fill an encyclopedia.

So that’s what this book is. An advice encyclopedia. A mentor in a box.

Written for anyone who wants to grow at work—from young grads navigating their first jobs to CEOs deciding whether to sell their company— Build is full of personal stories, practical advice and fascinating insights into some of the most impactful products and people of the 20th century.

Each quick 5-20 page entry builds on the previous one, charting Tony’s personal journey from a product designer to a leader, from a startup founder to an executive to a mentor. Tony uses examples that are instantly captivating, like the process of building the very first iPod and iPhone. Every chapter is designed to help readers with a problem they’re facing right now—how to get funding for their startup, whether to quit their job or not, or just how to deal with the jerk in the next cubicle.

Tony forged his path to success alongside mentors like Steve Jobs and Bill Campbell, icons of Silicon Valley who succeeded time and time again. But Tony doesn’t follow the Silicon Valley credo that you have to reinvent everything from scratch to make something great. His advice is unorthodox because it’s old school. Because Tony’s learned that human nature doesn’t change. You don’t have to reinvent how you lead and manage—just what you make.

And Tony’s ready to help everyone make things worth making.

Review

"Tony Fadell is one of the world’s great experts in starting companies and creating insanely great products. He’s distilled his wisdom in this book, providing wildly useful mentorship in a delightfully readable set of stories." — Walter Isaacson, author and biographer of Steve Jobs, Albert Einstein, and Leonardo da Vinci

"Tony Fadell has made more cool stuff than almost anyone else in the history of Silicon Valley, and in Build he tells us how. This is the most fun—and the most fascinating—memoir of curiosity and invention I've ever read." — Malcolm Gladwell, host of the podcast Revisionist History and author of Outliers and Talking to Strangers

“Based on hard-won, real-life lessons as an entrepreneur, Tony Fadell’s Build delivers priceless advice for any young person who wants to build something great or change the world for the better. I wish I had this book when I was twenty-one.” — Ben Horowitz, founding partner of Andreessen Horowitz

“Insightful. Funny. Instructive. Unvarnished. In a book brimming with energy and enthusiasm, Tony Fadell, builder of epoch-defining products, draws on his experience with failure and accomplishment to coach you through every stage of your career.” — Joanna Hoffman, former vice president of marketing at General Magic and member of the original Macintosh team

“Tony Fadell distills his epic career into refreshingly candid, often contrarian advice that you can put into practice right away. Whether you’re looking to build a great product, a creative team, a strong culture, or a meaningful career, Tony’s guidance will get you thinking and rethinking.” — Adam Grant, author of Think Again and host of the TED podcast WorkLife

--This text refers to an alternate kindle_edition edition.

About the Author

Tony Fadell started his 30 year Silicon Valley career at General Magic, the most influential startup nobody has ever heard of. Then he went on to make the iPod and iPhone, start Nest and create the Nest Learning Thermostat. Throughout his career Tony has authored more than 300 patents. He now leads the investment and advisory firm Future Shape, where he mentors the next generation of startups that are changing the world.

Roger Wayne served in the Air Force as a radio and television broadcast journalist in South Korea and won several awards before obtaining a BA degree in communications and journalism. He is an actor living in New York, narrating audiobooks, working on independent film projects, performing off Broadway, and auditioning for major network shows.

--This text refers to the audioCD edition.

From the New York Times bestselling author of More Money Than God comes the astonishingly frank and intimate story of Silicon Valley’s dominant venture-capital firms—and how their strategies and fates have shaped the path of innovation and the global economy**

Innovations rarely come from “experts.” Elon Musk was not an “electric car person” before he started Tesla. When it comes to improbable innovations, a legendary tech VC told Sebastian Mallaby, the future cannot be predicted , it can only be discovered. It is the nature of the venture-capital game that most attempts at discovery fail, but a very few succeed at such a scale that they more than make up for everything else. That extreme ratio of success and failure is the power law that drives the VC business, all of Silicon Valley, the wider tech sector, and, by extension, the world.

In The Power Law , Sebastian Mallaby has parlayed unprecedented access to the most celebrated venture capitalists of all time—the key figures at Sequoia, Kleiner Perkins, Accel, Benchmark, and Andreessen Horowitz, as well as Chinese partnerships such as Qiming and Capital Today—into a riveting blend of storytelling and analysis that unfurls the history of tech incubation, in the Valley and ultimately worldwide. We learn the unvarnished truth, often for the first time, about some of the most iconic triumphs and infamous disasters in Valley history, from the comedy of errors at the birth of Apple to the avalanche of venture money that fostered hubris at WeWork and Uber.

VCs’ relentless search for grand slams brews an obsession with the ideal of the lone entrepreneur-genius, and companies seen as potential “unicorns” are given intoxicating amounts of power, with sometimes disastrous results. On a more systemic level, the need to make outsized bets on unproven talent reinforces bias, with women and minorities still represented at woefully low levels. This does not just have social justice implications: as Mallaby relates, China’s homegrown VC sector, having learned at the Valley’s feet, is exploding and now has more women VC luminaries than America has ever had. Still, Silicon Valley VC remains the top incubator of business innovation anywhere—it is not where ideas come from so much as where they go to become the products and companies that create the future. By taking us so deeply into the VCs’ game, The Power Law helps us think about our own future through their eyes.

Recently, information retrieval has seen the emergence of dense retrievers, using neural networks, as an alternative to classical sparse methods based on term-frequency. These models have obtained state-of-the-art results on datasets and tasks where large training sets are available. However, they do not transfer well to new applications with no training data, and are outperformed by unsupervised term-frequency methods such as BM25. In this work, we explore the limits of contrastive learning as a way to train unsupervised dense retrievers and show that it leads to strong performance in various retrieval settings. On the BEIR benchmark our unsupervised model outperforms BM25 on 11 out of 15 datasets for the Recall@100. When used as pre-training before fine-tuning, either on a few thousands in-domain examples or on the large MS~MARCO dataset, our contrastive model leads to improvements on the BEIR benchmark. Finally, we evaluate our approach for multi-lingual retrieval, where training data is even scarcer than for English, and show that our approach leads to strong unsupervised performance. Our model also exhibits strong cross-lingual transfer when fine-tuned on supervised English data only and evaluated on low resources language such as Swahili. We show that our unsupervised models can perform cross-lingual retrieval between different scripts, such as retrieving English documents from Arabic queries, which would not be possible with term matching methods.

Ten laws of simplicity for business, technology, and design that teach us how to need less but get more.

Finally, we are learning that simplicity equals sanity. We're rebelling against technology that's too complicated, DVD players with too many menus, and software accompanied by 75-megabyte "read me" manuals. The iPod's clean gadgetry has made simplicity hip. But sometimes we find ourselves caught up in the simplicity paradox: we want something that's simple and easy to use, but also does all the complex things we might ever want it to do. In The Laws of Simplicity , John Maeda offers ten laws for balancing simplicity and complexity in business, technology, and design—guidelines for needing less and actually getting more.

9780262134729

The dominant sequence transduction models are based on complex recurrent or convolutional neural networks in an encoder-decoder configuration. The best performing models also connect the encoder and decoder through an attention mechanism. We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely. Experiments on two machine translation tasks show these models to be superior in quality while being more parallelizable and requiring significantly less time to train. Our model achieves 28.4 BLEU on the WMT 2014 English-to-German translation task, improving over the existing best results, including ensembles by over 2 BLEU. On the WMT 2014 English-to-French translation task, our model establishes a new single-model state-of-the-art BLEU score of 41.8 after training for 3.5 days on eight GPUs, a small fraction of the training costs of the best models from the literature. We show that the Transformer generalizes well to other tasks by applying it successfully to English constituency parsing both with large and limited training data.

This document aims to be a self-contained, mathematically precise overview of transformer architectures and algorithms (*not* results). It covers what transformers are, how they are trained, what they are used for, their key architectural components, and a preview of the most prominent models. The reader is assumed to be familiar with basic ML terminology and simpler neural network architectures such as MLPs.

Trained machine learning models are increasingly used to perform high-impact tasks in areas such as law enforcement, medicine, education, and employment. In order to clarify the intended use cases of machine learning models and minimize their usage in contexts for which they are not well suited, we recommend that released models be accompanied by documentation detailing their performance characteristics. In this paper, we propose a framework that we call model cards, to encourage such transparent model reporting. Model cards are short documents accompanying trained machine learning models that provide benchmarked evaluation in a variety of conditions, such as across different cultural, demographic, or phenotypic groups (e.g., race, geographic location, sex, Fitzpatrick skin type) and intersectional groups (e.g., age and race, or sex and Fitzpatrick skin type) that are relevant to the intended application domains. Model cards also disclose the context in which models are intended to be used, details of the performance evaluation procedures, and other relevant information. While we focus primarily on human-centered machine learning models in the application fields of computer vision and natural language processing, this framework can be used to document any trained machine learning model. To solidify the concept, we provide cards for two supervised models: One trained to detect smiling faces in images, and one trained to detect toxic comments in text. We propose model cards as a step towards the responsible democratization of machine learning and related AI technology, increasing transparency into how well AI technology works. We hope this work encourages those releasing trained machine learning models to accompany model releases with similar detailed evaluation numbers and other relevant documentation.

Available:

https://openai.com/blog/whisper/

We study the capabilities of speech processing systems trained simply to predict large amounts of transcripts of audio on the internet. When scaled to 680,000 hours of multilingual and multitask supervision, the resulting models generalize well to standard benchmarks and are often competitive with prior fully supervised results but in a zero- shot transfer setting without the need for any fine- tuning. When compared to humans, the models approach their accuracy and robustness. We are releasing models and inference code to serve as a foundation for further work on robust speech processing.

Deep Learning

Deep learning is making waves. At the time of this writing (March 2016), Google’s AlghaGo program just beat 9-dan professional Go player Lee Sedol at the game of Go, a Chinese board game.

Experts in the field of Artificial Intelligence thought we were 10 years away from achieving a victory against a top professional Go player, but progress seems to have accelerated!

While deep learning is a complex subject, it is not any more difficult to learn than any other machine learning algorithm. I wrote this book to introduce you to the basics of neural networks. You will get along fine with undergraduate-level math and programming skill.

All the materials in this book can be downloaded and installed for free. We will use the Python programming language, along with the numerical computing library Numpy. I will also show you in the later chapters how to build a deep network using Theano and TensorFlow, which are libraries built specifically for deep learning and can accelerate computation by taking advantage of the GPU.

Unlike other machine learning algorithms, deep learning is particularly powerful because it automatically learns features. That means you don’t need to spend your time trying to come up with and test “kernels” or “interaction effects” - something only statisticians love to do. Instead, we will let the neural network learn these things for us. Each layer of the neural network learns a different abstraction than the previous layers. For example, in image classification, the first layer might learn different strokes, and in the next layer put the strokes together to learn shapes, and in the next layer put the shapes together to form facial features, and in the next layer have a high level representation of faces.

On top of all this, deep learning is known for winning its fair share Kaggle contests. These are machine learning contests that are open to anyone in the world who are allowed to use any machine learning technique they want. Deep learning is that powerful.

Do you want a gentle introduction to this “dark art”, with practical code examples that you can try right away and apply to your own data? Then this book is for you.

Who is this book NOT for?

Deep Learning and Neural Networks are usually taught at the upper-year undergraduate level. That should give you some idea of the type of knowledge you need to understand this kind of material.

You absolutely need exposure to calculus to understand deep learning, no matter how simple the instructor makes things. Linear algebra would help. I will assume familiarity with Python (although it is an easy language to pick up). You will need to have some concept of machine learning. If you know about algorithms like logistic regression already, this book is perfect for you. If not, you might want to check out my “prerequisites” book, at: http://amzn.com/B01D7GDRQ2

On the other hand, this book is more like a casual primer than a dry textbook. If you are looking for material on more advanced topics, like LSTMs, convolutional neural networks, or reinforcement learning, I have online courses that teach this material, for example: https://www.udemy.com/deep-learning-c...

New libraries like TensorFlow are being updated constantly. This is not an encyclopedia for these libraries (as such a thing would be impossible to keep up to date). In the one (1!!!) month since the book was first published, no less than THREE new wrapper libraries for TensorFlow have been released to make coding deep networks easier.

The fantastic first book in the Sunday Times bestselling Science of Discworld series

When a wizardly experiment goes adrift, the wizards of Unseen University find themselves with a pocket universe on their hands: Roundworld, where neither magic nor common sense seems to stand a chance against logic.

The Universe, of course, is our own. And Roundworld is Earth. As the wizards watch their accidental creation grow, we follow the story of our universe from the primal singularity of the Big Bang to the internet and beyond.

Through this original Terry Pratchett story (with intervening chapters from Cohen and Stewart) we discover how puny and insignificant individual lives are against a cosmic backdrop of creation and disaster. Yet, paradoxically, we see how the richness of a universe based on rules, has led to a complex world and at least one species that tried to get a grip of what was going on.

Terry Pratchett is the acclaimed creator of the global bestselling Discworld series, the first of which, The Colour of Magic , was published in 1983. Raising Steam is his fortieth Discworld novel. His books have been widely adapted for stage and screen, and he is the winner of multiple prizes, including the Carnegie Medal, as well as being awarded a knighthood for services to literature. After falling out with his keyboard he now talks to his computer. Occasionally, these days, it answers back.

www.terrypratchett.co.uk
@terryandrob

Professor Ian Stewart is the author of many popular science books. He is the mathematics consultant for New Scientist and a Professor of Mathematics at the University of Warwick. He was awarded the Michael Faraday Prize for furthering the public understanding of science, and in 2001 became a Fellow of the Royal Society.

Dr Jack Cohen is an internationally-known reproductive biologist, and lives in Newent, Gloucestershire. Jack has a laboratory in his kitchen, helps couples get pregnant by referring them to colleagues, invents biologically realistic aliens for science fiction writers and, in his spare time, throws boomerangs. Jack, who has more letters to his name than can be repeated here, writes, lectures, talks and campaigns to promote public awareness of science, particularly biology. He is mostly retired.

You’ve asked yourself this question again and again. Now you have the chance to see inside the minds of angry and controlling men—and change your life. In Why Does He Do That? you will learn about:

• The early warning signs of abuse
• The nature of abusive thinking
• Myths about abusers
• Ten abusive personality types
• The role of drugs and alcohol
• What you can fix, and what you can’t
• And how to get out of an abusive relationship safely