However, most discussions of Bayesian inference rely on intensely complex mathematical analyses and artificial examples, making it inaccessible to anyone without a strong mathematical background. Now, though, Cameron Davidson-Pilon introduces Bayesian inference from a computational perspective, bridging theory to practice-freeing you to get results using computing power. Bayesian Methods for Hackers illuminates Bayesian inference through probabilistic programming with the powerful PyMC language and the closely related Python tools NumPy, SciPy, and Matplotlib. Using this approach, you can reach effective solutions in small increments, without extensive mathematical intervention. Davidson-Pilon begins by introducing the concepts underlying Bayesian inference, comparing it with other techniques and guiding you through building and training your first Bayesian model. Next, he introduces PyMC through a series of detailed examples and intuitive explanations that have been refined after extensive user feedback. You'll learn how to use the Markov Chain Monte Carlo algorithm, choose appropriate sample sizes and priors, work with loss functions, and apply Bayesian inference in domains ranging from finance to marketing. Once you've mastered these techniques, you'll constantly turn to this guide for the working PyMC code you need to jumpstart future projects. Coverage includes - Learning the Bayesian "state of mind" and its practical implications - Understanding how computers perform Bayesian inference - Using the PyMC Python library to program Bayesian analyses - Building and debugging models with PyMC - Testing your model's "goodness of fit" - Opening the "black box" of the Markov Chain Monte Carlo algorithm to see how and why it works - Leveraging the power of the "Law of Large Numbers" - Mastering key concepts, such as clustering, convergence, autocorrelation, and thinning - Using loss functions to measure an estimate's weaknesses based on your goals and desired outcomes - Selecting appropriate priors and understanding how their influence changes with dataset size - Overcoming the "exploration versus exploitation" dilemma: deciding when "pretty good" is good enough - Using Bayesian inference to improve A/B testing - Solving data science problems when only small amounts of data are available Cameron Davidson-Pilon has worked in many areas of applied mathematics, from the evolutionary dynamics of genes and diseases to stochastic modeling of financial prices. His contributions to the open source community include lifelines, an implementation of survival analysis in Python. Educated at the University of Waterloo and at the Independent University of Moscow, he currently works with the online commerce leader Shopify.

    Instead of giving you the most broadly popular result, Google now tries to predict what you are most likely to click on. According to MoveOn.org board president Eli Pariser, Google's change in policy is symptomatic of the most significant shift to take place on the Web in recent years - the rise of personalization. In this groundbreaking investigation of the new hidden Web, Pariser uncovers how this growing trend threatens to control how we consume and share information as a society-and reveals what we can do about it.Though the phenomenon has gone largely undetected until now, personalized filters are sweeping the Web, creating individual universes of information for each of us. Facebook - the primary news source for an increasing number of Americans - prioritizes the links it believes will appeal to you so that if you are a liberal, you can expect to see only progressive links. Even an old-media bastion like "The Washington Post" devotes the top of its home page to a news feed with the links your Facebook friends are sharing. Behind the scenes a burgeoning industry of data companies is tracking your personal information to sell to advertisers, from your political leanings to the color you painted your living room to the hiking boots you just browsed on Zappos.In a personalized world, we will increasingly be typed and fed only news that is pleasant, familiar, and confirms our beliefs - and because these filters are invisible, we won't know what is being hidden from us. Our past interests will determine what we are exposed to in the future, leaving less room for the unexpected encounters that spark creativity, innovation, and the democratic exchange of ideas.While we all worry that the Internet is eroding privacy or shrinking our attention spans, Pariser uncovers a more pernicious and far-reaching trend on the Internet and shows how we can - and must - change course. With vivid detail and remarkable scope, The Filter Bubble reveals how personalization undermines the Internet's original purpose as an open platform for the spread of ideas and could leave us all in an isolated, echoing world.

    Everyone who wants to make the world a better place becomes possessed by a grand idea.But what does it take to turn your idea into action?  Whether you are an entrepreneur, intrapreneur, or not-for-profit crusader, there’s no shortage of advice available on issues such as writing a business plan, recruiting, raising capital, and branding. In fact, there are so many books, articles, and Web sites that many startups get bogged down to the point of paralysis. Or else they focus on the wrong priorities and go broke before they discover their mistakes. In The Art of the Start, Guy Kawasaki brings two decades of experience as one of business’s most original and irreverent strategists to offer the essential guide for anyone starting anything, from a multinational corporation to a church group. At Apple in the 1980s, he helped lead one of the great companies of the century, turning ordinary consumers into evangelists. As founder and CEO of Garage Technology Ventures, a venture capital firm, he has field-tested his ideas with dozens of newly hatched companies. And as the author of bestselling business books and articles, he has advised thousands of people who are making their startup dreams real. From raising money to hiring the right people, from defining your positioning to creating a brand, from creating buzz to buzzing the competition, from managing a board to fostering a community, this book will guide you through an adventure that’s more art than science—the art of the start.

    Green and Robert M. Galford to bring us the essential tool for all consultants, negotiators, and advisors.In today's fast-paced networked economy, professionals must work harder than ever to maintain and improve their business skills and knowledge. But technical mastery of one's discipline is not enough, assert world-renowned professional advisors David H. Maister, Charles H. Green, and Robert M. Galford. The key to professional success, they argue, is the ability to earn the trust and confidence of clients. To demonstrate the paramount importance of trust, the authors use anecdotes, experiences, and examples -- successes and mistakes, their own and others' -- to great effect. The result is an immensely readable book that will be welcomed by the inexperienced advisor and the most seasoned expert alike.

    It’s about how people, organizations and societies can and must hit refresh—transform—in their persistent quest for new energy, new ideas, relevance and renewal. At the core, it’s about us humans and our unique qualities, like empathy, which will become ever more valuable in a world where the torrent of technology will disrupt like never before. As much a humanist as a technologist, Nadella defines his mission and that of the company he leads as empowering every person and every organization on the planet to achieve more.

    Uber and Airbnb are household names: redefining neighbourhoods, challenging the way governments regulate business and changing the way we travel.In the spirit of iconic Silicon Valley renegades like Steve Jobs and Bill Gates, a new generation of entrepreneurs is sparking yet another cultural upheaval through technology. They are among the Upstarts, idiosyncratic founders with limitless drive and an abundance of self-confidence. Young, hungry and brilliant, they are rewriting the traditional rules of business, changing our day-to-day lives and often sidestepping serious ethical and legal obstacles in the process.The Upstarts is the definitive account of a dawning age of tenacity, creativity, conflict and wealth. In Brad Stone’s highly anticipated and riveting account of the most radical companies of the new Silicon Valley, we find out how it all started, and how the world is wildly different than it was ten years ago.

    The shift toward automation is about to create a tsunami of unemployment. Not in the distant future—now. One recent estimate predicts 45 million American workers will lose their jobs within the next twelve years—jobs that won't be replaced. In a future marked by restlessness and chronic unemployment, what will happen to American society? In The War on Normal People, Andrew Yang paints a dire portrait of the American economy. Rapidly advancing technologies like artificial intelligence, robotics and automation software are making millions of Americans' livelihoods irrelevant. The consequences of these trends are already being felt across our communities in the form of political unrest, drug use, and other social ills. The future looks dire-but is it unavoidable? In The War on Normal People, Yang imagines a different future—one in which having a job is distinct from the capacity to prosper and seek fulfillment. At this vision's core is Universal Basic Income, the concept of providing all citizens with a guaranteed income-and one that is rapidly gaining popularity among forward-thinking politicians and economists. Yang proposes that UBI is an essential step toward a new, more durable kind of economy, one he calls "human capitalism."

    From the transistor to the laser, it s hard to find an aspect of modern life that hasn t been touched by Bell Labs. Why did so many transformative ideas come from Bell Labs? In "The Idea Factory," Jon Gertner traces the origins of some of the twentieth century s most important inventions and delivers a riveting and heretofore untold chapter of American history. At its heart this is a story about the life and work of a small group of brilliant and eccentric men Mervin Kelly, Bill Shockley, Claude Shannon, John Pierce, and Bill Baker who spent their careers at Bell Labs. Their job was to research and develop the future of communications. Small-town boys, childhood hobbyists, oddballs: they give the lie to the idea that Bell Labs was a grim cathedral of top-down command and control.Gertner brings to life the powerful alchemy of the forces at work behind Bell Labs inventions, teasing out the intersections between science, business, and society. He distills the lessons that abide: how to recruit and nurture young talent; how to organize and lead fractious employees; how to find solutions to the most stubbornly vexing problems; how to transform a scientific discovery into a marketable product, then make it even better, cheaper, or both. Today, when the drive to invent has become a mantra, Bell Labs offers us a way to enrich our understanding of the challenges and solutions to technological innovation. Here, after all, was where the foundational ideas on the management of innovation were born. "The Idea Factory" is the story of the origins of modern communications and the beginnings of the information age a deeply human story of extraordinary men who were given extraordinary means time, space, funds, and access to one another and edged the world into a new dimension."

    Start-Up Nation addresses the trillion dollar question: How is it that Israel -- a country of 7.1 million, only 60 years old, surrounded by enemies, in a constant state of war since its founding, with no natural resources-- produces more start-up companies than large, peaceful, and stable nations like Japan, China, India, Korea, Canada and the UK? With the savvy of foreign policy insiders, Senor and Singer examine the lessons of the country's adversity-driven culture, which flattens hierarchy and elevates informality-- all backed up by government policies focused on innovation. In a world where economies as diverse as Ireland, Singapore and Dubai have tried to re-create the "Israel effect", there are entrepreneurial lessons well worth noting. As America reboots its own economy and can-do spirit, there's never been a better time to look at this remarkable and resilient nation for some impressive, surprising clues.

    They employ what psychologists call "lateral thinking: to rethink convention and break "rules" that aren't rules.These are not shortcuts, which produce often dubious short-term gains, but ethical "smartcuts" that eliminate unnecessary effort and yield sustainable momentum. In Smartcuts, Snow shatters common wisdom about success, revealing how conventions like "paying dues" prevent progress, why kids shouldn't learn times tables, and how, paradoxically, it's easier to build a huge business than a small one.From SpaceX to The Cuban Revolution, from Ferrari to Skrillex, Smartcuts is a narrative adventure that busts old myths about success and shows how innovators and icons do the incredible by working smarter—and how perhaps the rest of us can, too.

    Mitchell covers the field of machine learning, the study of algorithms that allow computer programs to automatically improve through experience and that automatically infer general laws from specific data.

    Put people at the center. Unleash human magic."It was Fall in Minnesota. It was getting cold and we were supposed to die." This is how Hubert Joly describes the early, dark days as CEO of Best Buy, a job most thought he was crazy to accept. Amazon was tearing a disruptive path through retail, but in the face of that existential threat Joly did something remarkable: he saved Best Buy and remade it into a thriving company rated as one of the most desirable businesses to work for.Having recently stepped down as Chairman and CEO, Joly is ready to share the leadership principles that underpinned the resurgence of Best Buy and that he believes are at the heart of business: pursue a noble purpose, put people at the center, unleash human magic, and treat profit as an outcome.There was a time when many would call this a soft philosophy. But times are changing. Best Buy and 180 other companies signed the momentous Business Roundtable statement in support of stakeholder capitalism. The Covid-19 pandemic further pushed many businesses to lead from a place of purpose and with humanity. The changes underway are not a revolt, but a revolution. And Joly provides concrete advice on how to implement principles that can serve as beacons for the next era of capitalism.Joly himself was transformed from a hard-charging, deeply analytical McKinsey consultant to a leader who believes in what he calls human magic. He will share how so much of what he initially learned about management is either dated, incomplete, or simply wrong—including how to turn around a business, develop and implement a strategy, mobilize an organization, and what it takes to be a great leader.The leadership principles Joly lays out worked at Best Buy. They can also contribute to the necessary re-foundation of business and capitalism around purpose and humanity.

    Without machine learning, fraud detection, web search results, real-time ads on web pages, credit scoring, automation, and email spam filtering wouldn't be possible, and this is only showcasing just a few of its capabilities. Written by two data science experts, Machine Learning For Dummies offers a much-needed entry point for anyone looking to use machine learning to accomplish practical tasks.Covering the entry-level topics needed to get you familiar with the basic concepts of machine learning, this guide quickly helps you make sense of the programming languages and tools you need to turn machine learning-based tasks into a reality. Whether you're maddened by the math behind machine learning, apprehensive about AI, perplexed by preprocessing data--or anything in between--this guide makes it easier to understand and implement machine learning seamlessly.Grasp how day-to-day activities are powered by machine learning Learn to 'speak' certain languages, such as Python and R, to teach machines to perform pattern-oriented tasks and data analysis Learn to code in R using R Studio Find out how to code in Python using Anaconda Dive into this complete beginner's guide so you are armed with all you need to know about machine learning!

    Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

    So what separates the startups that get disrupted and disappear from the ones who grow to become global giants?The secret is blitzscaling: a set of techniques for scaling up at a dizzying pace that blows competitors out of the water. The objective of Blitzscaling is not to go from zero to one, but from one to one billion -as quickly as possible.When growing at a breakneck pace, getting to next level requires very different strategies from those that got you to where you are today. In a book inspired by their popular class at Stanford Business School, Hoffman and Yeh reveal how to navigate the necessary shifts and weather the unique challenges that arise at each stage of a company's life cycle, such as: how to design business models for igniting and sustaining relentless growth; strategies for hiring and managing; how the role of the founder and company culture must evolve as the business matures, and more.Whether your business has ten employees or ten thousand, Blitzscaling is the essential playbook for winning in a world where speed is the only competitive advantage that matters.