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Summary Of Eric Siegel S The Ai Playbook


Summary Of Eric Siegel S The Ai Playbook
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Summary Of Eric Siegel S The Ai Playbook


Summary Of Eric Siegel S The Ai Playbook
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Author : Milkyway Media
language : en
Publisher: Milkyway Media
Release Date : 2024-03-11

Summary Of Eric Siegel S The Ai Playbook written by Milkyway Media and has been published by Milkyway Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-11 with Technology & Engineering categories.


Get the Summary of Eric Siegel's The AI Playbook in 20 minutes. Please note: This is a summary & not the original book. "The AI Playbook" provides a comprehensive guide to deploying machine learning (ML) projects successfully, emphasizing the importance of a strategic approach that integrates business and technical expertise. The book introduces bizML, a six-phase framework that includes defining the value proposition, setting precise prediction goals, determining performance metrics, preparing data, constructing the algorithm, and launching the model. It addresses the common pitfalls of ML deployment, such as the low deployment rate of ML projects, the technical and organizational challenges, and the need for leadership that understands both the business impact and the technical complexities of ML...



Predictive Analytics


Predictive Analytics
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Author : Eric Siegel
language : en
Publisher: John Wiley & Sons
Release Date : 2016-01-13

Predictive Analytics written by Eric Siegel and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-13 with Business & Economics categories.


"Mesmerizing & fascinating..." —The Seattle Post-Intelligencer "The Freakonomics of big data." —Stein Kretsinger, founding executive of Advertising.com Award-winning | Used by over 30 universities | Translated into 9 languages An introduction for everyone. In this rich, fascinating — surprisingly accessible — introduction, leading expert Eric Siegel reveals how predictive analytics (aka machine learning) works, and how it affects everyone every day. Rather than a “how to” for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques. Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections. How? Prediction is powered by the world's most potent, flourishing unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn. Predictive analytics (aka machine learning) unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate. In this lucid, captivating introduction — now in its Revised and Updated edition — former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: What type of mortgage risk Chase Bank predicted before the recession. Predicting which people will drop out of school, cancel a subscription, or get divorced before they even know it themselves. Why early retirement predicts a shorter life expectancy and vegetarians miss fewer flights. Five reasons why organizations predict death — including one health insurance company. How U.S. Bank and Obama for America calculated the way to most strongly persuade each individual. Why the NSA wants all your data: machine learning supercomputers to fight terrorism. How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. How judges and parole boards rely on crime-predicting computers to decide how long convicts remain in prison. 182 examples from Airbnb, the BBC, Citibank, ConEd, Facebook, Ford, Google, the IRS, LinkedIn, Match.com, MTV, Netflix, PayPal, Pfizer, Spotify, Uber, UPS, Wikipedia, and more. How does predictive analytics work? This jam-packed book satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more. A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you are a consumer of it — or consumed by it — get a handle on the power of Predictive Analytics.



The Ai Playbook


The Ai Playbook
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Author : Eric Siegel
language : en
Publisher: MIT Press
Release Date : 2024-02-06

The Ai Playbook written by Eric Siegel and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-06 with Business & Economics categories.


In his bestselling first book, Eric Siegel explained how machine learning works. Now, in The AI Playbook, he shows how to capitalize on it. “Eric Siegel delivers a robust primer on machine learning, the key mechanism in AI. A forward-looking, practical book and a must-read for anyone in the information economy.” —Scott Galloway, NYU Stern Professor of Marketing; bestselling author of The Four “An antidote to today’s relentless AI hype—why some AI initiatives thrive while others fail and what it takes for companies and people to succeed.” —Charles Duhigg, author of bestsellers The Power of Habit and Smarter Faster Better The greatest tool is the hardest to use. Machine learning is the world's most important general-purpose technology—but it's notoriously difficult to launch. Outside Big Tech and a handful of other leading companies, machine learning initiatives routinely fail to deploy, never realizing value. What's missing? A specialized business practice suitable for wide adoption. In The AI Playbook, bestselling author Eric Siegel presents the gold-standard, six-step practice for ushering machine learning projects, aka predictive AI projects, from conception to deployment. He illustrates the practice with stories of success and of failure, including revealing case studies from UPS, FICO, and prominent dot-coms. This disciplined approach serves both sides: It empowers business professionals, and it establishes a sorely needed strategic framework for data professionals. Beyond detailing the practice, this book also upskills business professionals—painlessly. It delivers a vital yet friendly dose of semi-technical background knowledge that all stakeholders need to lead or participate in machine learning projects, end to end. This puts business and data professionals on the same page so that they can collaborate deeply, jointly establishing precisely what machine learning is called upon to predict, how well it predicts, and how its predictions are acted upon to improve operations. These essentials make or break each initiative—getting them right paves the way for machine learning's value-driven deployment. A note from the author: The buzzword AI can mean many things, but this book is about the most vital use cases of machine learning, those designed to improve large-scale business operations—aka predictive AI or predictive analytics.



The Ai Advantage


The Ai Advantage
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Author : Thomas H. Davenport
language : en
Publisher: MIT Press
Release Date : 2019-08-06

The Ai Advantage written by Thomas H. Davenport and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-06 with Business & Economics categories.


Cutting through the hype, a practical guide to using artificial intelligence for business benefits and competitive advantage. In The AI Advantage, Thomas Davenport offers a guide to using artificial intelligence in business. He describes what technologies are available and how companies can use them for business benefits and competitive advantage. He cuts through the hype of the AI craze—remember when it seemed plausible that IBM's Watson could cure cancer?—to explain how businesses can put artificial intelligence to work now, in the real world. His key recommendation: don't go for the “moonshot” (curing cancer, or synthesizing all investment knowledge); look for the “low-hanging fruit” to make your company more efficient. Davenport explains that the business value AI offers is solid rather than sexy or splashy. AI will improve products and processes and make decisions better informed—important but largely invisible tasks. AI technologies won't replace human workers but augment their capabilities, with smart machines to work alongside smart people. AI can automate structured and repetitive work; provide extensive analysis of data through machine learning (“analytics on steroids”), and engage with customers and employees via chatbots and intelligent agents. Companies should experiment with these technologies and develop their own expertise. Davenport describes the major AI technologies and explains how they are being used, reports on the AI work done by large commercial enterprises like Amazon and Google, and outlines strategies and steps to becoming a cognitive corporation. This book provides an invaluable guide to the real-world future of business AI. A book in the Management on the Cutting Edge series, published in cooperation with MIT Sloan Management Review.



The Robots Are Coming


The Robots Are Coming
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Author : Andres Oppenheimer
language : en
Publisher: Vintage
Release Date : 2019-04-30

The Robots Are Coming written by Andres Oppenheimer and has been published by Vintage this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-30 with Business & Economics categories.


Staying true to his trademark journalistic approach, Andrés Oppenheimer takes his readers on yet another journey, this time across the globe, in a thought-provoking search to understand what the future holds for today's jobs in the foreseeable age of automation. The Robots Are Coming! centers around the issue of jobs and their future in the context of rapid automation and the growth of online products and services. As two of Oppenheimer's interviewees -- both experts in technology and economics from Oxford University -- indicate, forty-seven percent of existing jobs are at risk of becoming automated or rendered obsolete by other technological changes in the next twenty years. Oppenheimer examines current changes in several fields, including the food business, legal work, banking, and medicine, speaking with experts in the field, and citing articles and literature on automation in various areas of the workforce. He contrasts the perspectives of "techno-optimists" with those of "techno-negativists" and generally attempts to find a middle ground between an alarmist vision of the future, and one that is too uncritical. A self-described "cautious optimist", Oppenheimer believes that technology will not create massive unemployment, but rather will drastically change what work looks like.



Mining Your Own Business


Mining Your Own Business
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Author : Jeff Deal
language : en
Publisher:
Release Date : 2016-09-19

Mining Your Own Business written by Jeff Deal and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-19 with categories.


Practical guide for organization leaders, top-level executives. Industry experts explain in clear, understandable English. What data mining and predictive analytics are



Ray Tracing Gems


Ray Tracing Gems
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Author : Eric Haines
language : en
Publisher: Apress
Release Date : 2019-02-25

Ray Tracing Gems written by Eric Haines and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-25 with Computers categories.


This book is a must-have for anyone serious about rendering in real time. With the announcement of new ray tracing APIs and hardware to support them, developers can easily create real-time applications with ray tracing as a core component. As ray tracing on the GPU becomes faster, it will play a more central role in real-time rendering. Ray Tracing Gems provides key building blocks for developers of games, architectural applications, visualizations, and more. Experts in rendering share their knowledge by explaining everything from nitty-gritty techniques that will improve any ray tracer to mastery of the new capabilities of current and future hardware. What you'll learn: The latest ray tracing techniques for developing real-time applications in multiple domains Guidance, advice, and best practices for rendering applications with Microsoft DirectX Raytracing (DXR) How to implement high-performance graphics for interactive visualizations, games, simulations, and more Who this book is for: Developers who are looking to leverage the latest APIs and GPU technology for real-time rendering and ray tracing Students looking to learn about best practices in these areas Enthusiasts who want to understand and experiment with their new GPUs



China S Influence And American Interests


China S Influence And American Interests
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Author : Larry Diamond
language : en
Publisher: Hoover Press
Release Date : 2019-08-01

China S Influence And American Interests written by Larry Diamond and has been published by Hoover Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-01 with Political Science categories.


While Americans are generally aware of China's ambitions as a global economic and military superpower, few understand just how deeply and assertively that country has already sought to influence American society. As the authors of this volume write, it is time for a wake-up call. In documenting the extent of Beijing's expanding influence operations inside the United States, they aim to raise awareness of China's efforts to penetrate and sway a range of American institutions: state and local governments, academic institutions, think tanks, media, and businesses. And they highlight other aspects of the propagandistic “discourse war” waged by the Chinese government and Communist Party leaders that are less expected and more alarming, such as their view of Chinese Americans as members of a worldwide Chinese diaspora that owes undefined allegiance to the so-called Motherland.Featuring ideas and policy proposals from leading China specialists, China's Influence and American Interests argues that a successful future relationship requires a rebalancing toward greater transparency, reciprocity, and fairness. Throughout, the authors also strongly state the importance of avoiding casting aspersions on Chinese and on Chinese Americans, who constitute a vital portion of American society. But if the United States is to fare well in this increasingly adversarial relationship with China, Americans must have a far better sense of that country's ambitions and methods than they do now.



The Ai Delusion


The Ai Delusion
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Author : Gary Smith
language : en
Publisher: Oxford University Press
Release Date : 2018-08-22

The Ai Delusion written by Gary Smith and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-22 with Computers categories.


We live in an incredible period in history. The Computer Revolution may be even more life-changing than the Industrial Revolution. We can do things with computers that could never be done before, and computers can do things for us that could never be done before. But our love of computers should not cloud our thinking about their limitations. We are told that computers are smarter than humans and that data mining can identify previously unknown truths, or make discoveries that will revolutionize our lives. Our lives may well be changed, but not necessarily for the better. Computers are very good at discovering patterns, but are useless in judging whether the unearthed patterns are sensible because computers do not think the way humans think. We fear that super-intelligent machines will decide to protect themselves by enslaving or eliminating humans. But the real danger is not that computers are smarter than us, but that we think computers are smarter than us and, so, trust computers to make important decisions for us. The AI Delusion explains why we should not be intimidated into thinking that computers are infallible, that data-mining is knowledge discovery, and that black boxes should be trusted.



Artificial Intelligence And Machine Learning For Business


Artificial Intelligence And Machine Learning For Business
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Author : Steven Finlay
language : en
Publisher: Relativistic
Release Date : 2018-07

Artificial Intelligence And Machine Learning For Business written by Steven Finlay and has been published by Relativistic this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07 with categories.


Artificial Intelligence (AI) and Machine Learning are now mainstream business tools. They are being applied across many industries to increase profits, reduce costs, save lives and improve customer experiences. Organizations which understand these tools and know how to use them are benefiting at the expense of their rivals. Artificial Intelligence and Machine Learning for Business cuts through the hype and technical jargon that is often associated with these subjects. It delivers a simple and concise introduction for managers and business people. The focus is very much on practical application and how to work with technical specialists (data scientists) to maximize the benefits of these technologies. This third edition has been substantially revised and updated. It contains several new chapters and covers a broader set of topics than before, but retains the no-nonsense style of the original.