Need Machine Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Need Machine book. This book definitely worth reading, it is an incredibly well-written.
Need Machine clamors through the brain like an unruly marching band. Both caustic and thoughtful, these poems offer a topography of modern life writ large in twitchy, neon splendor, in a voice as sure as a surgeon and as trustworthy as a rumor. Honest, irreverent, and sharply indifferent, this book will "hogtie you with awe."
NEW YORK TIMES BESTSELLER LONGLISTED FOR THE 2021 BOOKER PRIZE NAMED A BEST BOOK OF THE YEAR BY THE NEW YORK TIMES, THE GLOBE AND MAIL, THE GUARDIAN, ESQUIRE, VOGUE, TIME, THE WASHINGTON POST, THE TIMES (UK), VULTURE, THE ECONOMIST, NPR, AND BOOKRIOT ON PRESIDENT OBAMA’S SUMMER 2021 READING LIST The magnificent new novel from Nobel laureate Kazuo Ishiguro--author of Never Let Me Go and the Booker Prize-winning The Remains of the Day. “The Sun always has ways to reach us.” From her place in the store, Klara, an Artificial Friend with outstanding observational qualities, watches carefully the behaviour of those who come in to browse, and of those who pass in the street outside. She remains hopeful a customer will soon choose her, but when the possibility emerges that her circumstances may change forever, Klara is warned not to invest too much in the promises of humans. In Klara and the Sun, Kazuo Ishiguro looks at our rapidly changing modern world through the eyes of an unforgettable narrator to explore a fundamental question: what does it mean to love?
Advances in Financial Machine Learning by Marcos Lopez de Prado Pdf
Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Readers will learn how to structure Big data in a way that is amenable to ML algorithms; how to conduct research with ML algorithms on that data; how to use supercomputing methods; how to backtest your discoveries while avoiding false positives. The book addresses real-life problems faced by practitioners on a daily basis, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their particular setting. Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance.
A landmark insider’s tour of how social media affects our decision-making and shapes our world in ways both useful and dangerous, with critical insights into the social media trends of the 2020 election and beyond “The book might be described as prophetic. . . . At least two of Aral’s three predictions have come to fruition.”—New York NAMED ONE OF THE BEST BOOKS OF THE YEAR BY WIRED • LONGLISTED FOR THE PORCHLIGHT BUSINESS BOOK AWARD Social media connected the world—and gave rise to fake news and increasing polarization. It is paramount, MIT professor Sinan Aral says, that we recognize the outsize effect social media has on us—on our politics, our economy, and even our personal health—in order to steer today’s social technology toward its great promise while avoiding the ways it can pull us apart. Drawing on decades of his own research and business experience, Aral goes under the hood of the most powerful social networks to tackle the critical question of just how much social media actually shapes our choices, for better or worse. He shows how the tech behind social media offers the same set of behavior influencing levers to everyone who hopes to change the way we think and act—from Russian hackers to brand marketers—which is why its consequences affect everything from elections to business, dating to health. Along the way, he covers a wide array of topics, including how network effects fuel Twitter’s and Facebook’s massive growth, the neuroscience of how social media affects our brains, the real consequences of fake news, the power of social ratings, and the impact of social media on our kids. In mapping out strategies for being more thoughtful consumers of social media, The Hype Machine offers the definitive guide to understanding and harnessing for good the technology that has redefined our world overnight.
The Hundred-page Machine Learning Book by Andriy Burkov Pdf
Provides a practical guide to get started and execute on machine learning within a few days without necessarily knowing much about machine learning.The first five chapters are enough to get you started and the next few chapters provide you a good feel of more advanced topics to pursue.
Author : Paul R. Daugherty,H. James Wilson Publisher : Harvard Business Press Page : 264 pages File Size : 48,7 Mb Release : 2018-03-20 Category : Computers ISBN : 9781633693876
Human + Machine by Paul R. Daugherty,H. James Wilson Pdf
AI is radically transforming business. Are you ready? Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now--in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on? In Human + Machine, Accenture leaders Paul R. Daugherty and H. James (Jim) Wilson show that the essence of the AI paradigm shift is the transformation of all business processes within an organization--whether related to breakthrough innovation, everyday customer service, or personal productivity habits. As humans and smart machines collaborate ever more closely, work processes become more fluid and adaptive, enabling companies to change them on the fly--or to completely reimagine them. AI is changing all the rules of how companies operate. Based on the authors' experience and research with 1,500 organizations, the book reveals how companies are using the new rules of AI to leap ahead on innovation and profitability, as well as what you can do to achieve similar results. It describes six entirely new types of hybrid human + machine roles that every company must develop, and it includes a "leader’s guide" with the five crucial principles required to become an AI-fueled business. Human + Machine provides the missing and much-needed management playbook for success in our new age of AI. BOOK PROCEEDS FOR THE AI GENERATION The authors' goal in publishing Human + Machine is to help executives, workers, students and others navigate the changes that AI is making to business and the economy. They believe AI will bring innovations that truly improve the way the world works and lives. However, AI will cause disruption, and many people will need education, training and support to prepare for the newly created jobs. To support this need, the authors are donating the royalties received from the sale of this book to fund education and retraining programs focused on developing fusion skills for the age of artificial intelligence.
A buddy-cop dramedy starring a bottle of Advil and a headache that won’t quit Imagine you’re standing in a room, and someone on the other side of the door won’t stop knocking – ever. Welcome to Andrew Faulkner’s world of the never-ending, low-grade headache, a medical issue resolved only by striking up a committed relationship with the slippery miracle that is Advil. Through direct address, sideways glances, lyrical interludes and deep consideration of what it means to overcome a condition when living is a part of the condition itself, these poems observe the speaker’s world as it crowds around him, coming into sharper and specific focus, from the hard wisdom of saints on suffering and a slightly unhinged Caravaggio on the metaphysics of painting, through to the deep meaning of a hot dog and a thoroughly botched retelling of a Norm Macdonald joke. Throughout it all, Advil whirls around like an unruly tornado of a sidekick, snapping Polaroids and “searching for a cloud that resembles a plausible end-of-life scenario.” Think of this collection as a meditation on how to deal with pain and uncertainty when life itself is an uncertain, painful mess. These are poems that acknowledge the shakiness of the ground we stand on. The opening poem wonders: “If you stay with the shakiness through its conjugations? Who knows.” But don’t worry. Advil’s on the case and aims to find out. "These wry poems cajole the reader into feverish attentiveness. Andrew Faulkner's Heady Bloom is that unusual collection of poems whose aim is generous and profound, but whose means are often comic and provocative, all jagged edges and elbows. Chaplinesque, perhaps, but Chaplin at an all-ages hardcore show, or having been to one and reflecting on it later, in tranquility." —Ed Skoog, author of Travelers Leaving for the City and Run the Red Lights "Among other issues, this book explores how the seizures, hallucinations, and excruciating pain caused by neurological conditions that are now treated clinically were once thought of as visions granted to and endured by saints. Faulkner does this in poems that are filled with seriousness but also humor, unlikely allusions, and exhilarating wordplay. A running conceit is the speaker’s ambivalent relationship—a kind of “bromance”—with Advil, modern medicine personified as his nemesis and doppelgänger, a taunting comedian but also a vital helpmate, a debased version of the saints’ archangelic protectors. Faulkner’s imagery and conceits surprise and delight. A strange and beautiful book. " —Geoffrey Nutter
Author : Brian Christian Publisher : W. W. Norton & Company Page : 459 pages File Size : 46,9 Mb Release : 2020-10-06 Category : Science ISBN : 9780393635836
The Alignment Problem: Machine Learning and Human Values by Brian Christian Pdf
A jaw-dropping exploration of everything that goes wrong when we build AI systems and the movement to fix them. Today’s “machine-learning” systems, trained by data, are so effective that we’ve invited them to see and hear for us—and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole—and appear to assess Black and White defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And as autonomous vehicles share our streets, we are increasingly putting our lives in their hands. The mathematical and computational models driving these changes range in complexity from something that can fit on a spreadsheet to a complex system that might credibly be called “artificial intelligence.” They are steadily replacing both human judgment and explicitly programmed software. In best-selling author Brian Christian’s riveting account, we meet the alignment problem’s “first-responders,” and learn their ambitious plan to solve it before our hands are completely off the wheel. In a masterful blend of history and on-the ground reporting, Christian traces the explosive growth in the field of machine learning and surveys its current, sprawling frontier. Readers encounter a discipline finding its legs amid exhilarating and sometimes terrifying progress. Whether they—and we—succeed or fail in solving the alignment problem will be a defining human story. The Alignment Problem offers an unflinching reckoning with humanity’s biases and blind spots, our own unstated assumptions and often contradictory goals. A dazzlingly interdisciplinary work, it takes a hard look not only at our technology but at our culture—and finds a story by turns harrowing and hopeful.
Author : Mike West Publisher : John Wiley & Sons Page : 566 pages File Size : 51,9 Mb Release : 2019-02-20 Category : Business & Economics ISBN : 9781119434795
Maximize performance with better data Developing a successful workforce requires more than a gut check. Data can help guide your decisions on everything from where to seat a team to optimizing production processes to engaging with your employees in ways that ring true to them. People analytics is the study of your number one business asset—your people—and this book shows you how to collect data, analyze that data, and then apply your findings to create a happier and more engaged workforce. Start a people analytics project Work with qualitative data Collect data via communications Find the right tools and approach for analyzing data If your organization is ready to better understand why high performers leave, why one department has more personnel issues than another, and why employees violate, People Analytics For Dummies makes it easier.
The Imagination Machine by Martin Reeves,Jack Fuller Pdf
A guide for mining the imagination to find powerful new ways to succeed. We need imagination now more than ever—to find new opportunities, rethink our businesses, and discover paths to growth. Yet too many companies have lost their ability to imagine. What is this mysterious capacity? How does imagination work? And how can organizations keep it alive and harness it in a systematic way? The Imagination Machine answers these questions and more. Drawing on the experience and insights of CEOs across several industries, as well as lessons from neuroscience, computer science, psychology, and philosophy, Martin Reeves of Boston Consulting Group's Henderson Institute and Jack Fuller, an expert in neuroscience, provide a fascinating look into the mechanics of imagination and lay out a process for creating ideas and bringing them to life: The Seduction: How to open yourself up to surprises The Idea: How to generate new ideas The Collision: How to rethink your idea based on real-world feedback The Epidemic: How to spread an evolving idea to others The New Ordinary: How to turn your novel idea into an accepted reality The Encore: How to repeat the process—again and again. Imagination is one of the least understood but most crucial ingredients of success. It's what makes the difference between an incremental change and the kinds of pivots and paradigm shifts that are essential to transformation—especially during a crisis. The Imagination Machine is the guide you need to demystify and operationalize this powerful human capacity, to inject new life into your company, and to head into unknown territory with the right tools at your disposal.
Mastering Machine Learning Algorithms by Giuseppe Bonaccorso Pdf
Explore and master the most important algorithms for solving complex machine learning problems. Key Features Discover high-performing machine learning algorithms and understand how they work in depth. One-stop solution to mastering supervised, unsupervised, and semi-supervised machine learning algorithms and their implementation. Master concepts related to algorithm tuning, parameter optimization, and more Book Description Machine learning is a subset of AI that aims to make modern-day computer systems smarter and more intelligent. The real power of machine learning resides in its algorithms, which make even the most difficult things capable of being handled by machines. However, with the advancement in the technology and requirements of data, machines will have to be smarter than they are today to meet the overwhelming data needs; mastering these algorithms and using them optimally is the need of the hour. Mastering Machine Learning Algorithms is your complete guide to quickly getting to grips with popular machine learning algorithms. You will be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and will learn how to use them in the best possible manner. Ranging from Bayesian models to the MCMC algorithm to Hidden Markov models, this book will teach you how to extract features from your dataset and perform dimensionality reduction by making use of Python-based libraries such as scikit-learn. You will also learn how to use Keras and TensorFlow to train effective neural networks. If you are looking for a single resource to study, implement, and solve end-to-end machine learning problems and use-cases, this is the book you need. What you will learn Explore how a ML model can be trained, optimized, and evaluated Understand how to create and learn static and dynamic probabilistic models Successfully cluster high-dimensional data and evaluate model accuracy Discover how artificial neural networks work and how to train, optimize, and validate them Work with Autoencoders and Generative Adversarial Networks Apply label spreading and propagation to large datasets Explore the most important Reinforcement Learning techniques Who this book is for This book is an ideal and relevant source of content for data science professionals who want to delve into complex machine learning algorithms, calibrate models, and improve the predictions of the trained model. A basic knowledge of machine learning is preferred to get the best out of this guide.