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The AI Playbook
- Mastering the Rare Art of Machine Learning Deployment (Management on the Cutting Edge)
- Narrated by: Eric Siegel
- Length: 9 hrs and 20 mins
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Publisher's summary
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 and 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 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.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
Critic reviews
“Set aside the hype and focus on getting things to work in practice. This is a crisp, necessary, and deeply helpful guide to getting things done with AI. Essential reading.”
—Mustafa Suleyman, Cofounder and CEO, Inflection AI; author of The Coming Wave
“In this book, Eric brings machine learning to life and provides a roadmap for how to operationalize it in the real world.”
—Will Lansing, CEO, FICO
“There's a big difference between theory and practice. This is the guide that tells you how to really make data come alive through machine learning.”
—DJ Patil, General Partner, Great Point Ventures and Former U.S. Chief Data Scientist
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Artificial intelligence does the seemingly impossible - driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.
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Not sure what I was expecting, but underwhelmed
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Great SM Reference
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Doom Guy
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Intimate stories of gaming history in First Person
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Hackers: Heroes of the Computer Revolution
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Remember Why You Got Into Computing
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Excellent narration
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Companies that can use technology wisely and well are booming, companies that make bad or no technology choices collapse and disappear. The cloud, smart devices and the ability to connect almost any object to the internet are an essential landscape to use but are also fraught with new risks and dangers of a magnitude never seen before. Also featuring an alphabetical section at the back of the book to help you translate many of the main cybersecurity technical terms into plain, non-technical English.
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Not for IT ppl moving into security
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Run a Google search for “black girls” - what will you find? “Big Booty” and other sexually explicit terms are likely to come up as top search terms. But, if you type in “white girls”, the results are radically different. The suggested porn sites and un-moderated discussions about “why black women are so sassy” or “why black women are so angry” presents a disturbing portrait of black womanhood in modern society. In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities.
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Read this book. Tell everyone you know about it.
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Technical knowledge alone isn't enough - increase your software development income by leveling up your soft skills Early in his software developer career, John Sonmez discovered that technical knowledge alone isn't enough to break through to the next income level - developers need "soft skills" like the ability to learn new technologies just in time, communicate clearly with management and consulting clients, negotiate a fair hourly rate, and unite teammates and coworkers in working toward a common goal.
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The Complete Bro-grammer's Career Guide
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A New York Times technology correspondent presents the dramatic rise and fall of Uber, set against the rapid upheaval in Silicon Valley during the mobile era. Based on hundreds of interviews with current and former Uber employees, along with previously unpublished documents, Super Pumped is a pause-resisting story of ambition and deception, obscene wealth, and bad behavior, that explores how blistering technological and financial innovation culminated in one of the most catastrophic 12-month periods in American corporate history.
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A forced narrative and a bad version of Bad Blood
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SQL QuickStart Guide
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Structured query language, or SQL (pronounced "sequel" by many), is the most widely used programming language in database management and is the standard language for relational database management systems (RDBMS). SQL programming allows users to return, analyze, create, manage, and delete data within a database - all within a few commands.
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Learn SQL
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Nikola Tesla was a major contributor to the electrical revolution that transformed daily life at the turn of the 20th century. His inventions, patents, and theoretical work formed the basis of modern AC electricity, and contributed to the development of radio and television. Like his competitor Thomas Edison, Tesla was one of America's first celebrity scientists, enjoying the company of New York high society and dazzling the likes of Mark Twain with his electrical demonstrations. An astute self-promoter and gifted showman, he cultivated a public image of the eccentric genius.
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A detailed examination of Tesla's work
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The bible for your Digital Transformation projects
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What listeners say about The AI Playbook
Average customer ratingsReviews - Please select the tabs below to change the source of reviews.
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- Kevin
- 02-09-24
Good topic, very average thinking, very average writing
As above. It seems like good qual for author’s consulting business.
Great topic. But needs crisper thinking and writing. Sounds like a great guy to hire.
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- Diego Murillo Esquivel
- 03-21-24
The most important book on AI
Every data scientist, data engineer, and businessperson should read this book. Its framework is not only easy to understand but frankly makes sense in the AI-hype era. Full of examples and analogies, the book conveys its clear message from the get-go: to successfully deploy machine learning in your business, you have to sell it as a business solution, not a technology solution.
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- Amazon Customer
- 04-08-24
I feel misled by the sample...
Have you ever had a boring professor? The reader of this sounds like it. This book is one that is too thick in the weeds, not of entrepreneur mindset and overall I wish that they led with the optional faq chapter as the sample read. I would not have purchased it. This author obviously knows his stuff but this book is definitely not geared towards business owners.
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- Kindle Customer
- 04-16-24
Basic book not worth time
This book seems to be for non technical people who have been also living under a rock and never read a blog post or have any understanding of product development or ML. I have no idea what the audience would be.
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