Book picks similar to
Monetizing Machine Learning: Quickly Turn Python ML Ideas into Web Applications on the Serverless Cloud by Manuel Amunategui
programming
machine-learning
mmo
python-make-money-online-pmmo
Learn Python 3 the Hard Way: A Very Simple Introduction to the Terrifyingly Beautiful World of Computers and Code (Zed Shaw's Hard Way Series)
Zed A. Shaw - 2017
HBR's 10 Must Reads on AI, Analytics, and the New Machine Age (with bonus article "Why Every Company Needs an Augmented Reality Strategy" by Michael E. Porter and James E. Heppelmann)
Harvard Business Review - 2018
Is your company ready?If you read nothing else on how intelligent machines are revolutionizing business, read these 10 articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you understand how these technologies work together, how to adopt them, and why your strategy can't ignore them.
In this book you'll learn how:
Data science, driven by artificial intelligence and machine learning, is yielding unprecedented business insights
Blockchain has the potential to restructure the economy
Drones and driverless vehicles are becoming essential tools
3-D printing is making new business models possible
Augmented reality is transforming retail and manufacturing
Smart speakers are redefining the rules of marketing
Humans and machines are working together to reach new levels of productivity
This collection of articles includes "Artificial Intelligence for the Real World," by Thomas H. Davenport and Rajeev Ronanki; "Stitch Fix's CEO on Selling Personal Style to the Mass Market," by Katrina Lake; "Algorithms Need Managers, Too," by Michael Luca, Jon Kleinberg, and Sendhil Mullainathan; "Marketing in the Age of Alexa," by Niraj Dawar; "Why Every Organization Needs an Augmented Reality Strategy," by Michael E. Porter and James E. Heppelmann; "Drones Go to Work," by Chris Anderson; "The Truth About Blockchain," by Marco Iansiti and Karim R. Lakhani; "The 3-D Printing Playbook," by Richard A. D’Aveni; "Collaborative Intelligence: Humans and AI Are Joining Forces," by H. James Wilson and Paul R. Daugherty; "When Your Boss Wears Metal Pants," by Walter Frick; and "Managing Our Hub Economy," by Marco Iansiti and Karim R. Lakhani.
Computer Power and Human Reason: From Judgment to Calculation
Joseph Weizenbaum - 1976
A classic text by the author who developed ELIZA, a natural-language processing system.
PROLOG: Programming for Artificial Intelligence
Ivan Bratko - 1986
Divided into two parts, the first part of the book introduces the programming language Prolog, while the second part teaches Artificial Intelligence using Prolog as a tool for the implementation of AI techniques. Prolog has its roots in logic, however the main aim of this book is to teach Prolog as a practical programming tool. This text therefore concentrates on the art of using the basic mechanisms of Prolog to solve interesting problems. The third edition has been fully revised and extended to provide an even greater range of applications, which further enhance its value as a self-contained guide to Prolog, AI or AI Programming for students and professional programmers alike.
Unlock It: The Master Key to Wealth, Success, and Significance
Dan Lok - 2019
If you are struggling financially, you'll learn how to develop skills not taught in schools that will increase your income and Financial Confidence. If you are building or leading an organization, you'll get an inside look at how Dan Lok strategically scaled his organization through a combination of digital media and Social Capital, High-Ticket Closers, and an unbeatable team culture. Wherever you are, Unlock It will show you how to find your own way to achieving wealth, success, and significance.
The Black Box Society: The Secret Algorithms That Control Money and Information
Frank Pasquale - 2014
The data compiled and portraits created are incredibly detailed, to the point of being invasive. But who connects the dots about what firms are doing with this information? The Black Box Society argues that we all need to be able to do so--and to set limits on how big data affects our lives.Hidden algorithms can make (or ruin) reputations, decide the destiny of entrepreneurs, or even devastate an entire economy. Shrouded in secrecy and complexity, decisions at major Silicon Valley and Wall Street firms were long assumed to be neutral and technical. But leaks, whistleblowers, and legal disputes have shed new light on automated judgment. Self-serving and reckless behavior is surprisingly common, and easy to hide in code protected by legal and real secrecy. Even after billions of dollars of fines have been levied, underfunded regulators may have only scratched the surface of this troubling behavior.Frank Pasquale exposes how powerful interests abuse secrecy for profit and explains ways to rein them in. Demanding transparency is only the first step. An intelligible society would assure that key decisions of its most important firms are fair, nondiscriminatory, and open to criticism. Silicon Valley and Wall Street need to accept as much accountability as they impose on others.
Remote Sensing and Image Interpretation
Thomas M. Lillesand - 1979
The text examines the basics of analog image analysis while placing greater emphasis on digitally based systems and analysis techniques. The presentation is discipline neutral, so students in any field of study can gain a clear understanding of these systems and their virtually unlimited applications.
Wealth for all Africans: How Every African Can Live the Life of Their Dreams
Idowu Koyenikan - 2014
To build and manage your wealth, you must look at your situation holistically: build your character, standards, dreams, goals, and personal aspirations from the inside out. By developing both self-sufficiency and a connection with your community, it is possible to create wealth for yourself no matter who you are, what you do, or where you come from.
Introduction to Probability
Joseph K. Blitzstein - 2014
The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo MCMC. Additional application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment.
The Corporation Wars Trilogy
Ken MacLeod - 2018
Clarke Award-nominated author Ken MacLeod, an action-packed space opera told against a backdrop of interstellar drone warfare, virtual reality, and an A.I. revolution. In deep space, ruthless corporations vie for control of scattered mining colonies, and war is an ever-present threat. Led by Seba, a newly sentient mining reboot, an AI revolution grows. Fighting them is Carlos, a grunt who is reincarnated over and over again to keep the "freeboots" in check. But he's not sure whether he's on the right side. Against a backdrop of interstellar drone combat Carlos and Seba must either find a way to rise above the games their masters are playing or die. And even dying might not be the end of it. The Corporation WarsThe Corporation Wars: Dissidence The Corporation Wars: InsurgenceThe Corporation Wars: Emergence
The Computer and the Brain
John von Neumann - 1958
This work represents the views of a mathematician on the analogies between computing machines and the living human brain.
Race After Technology: Abolitionist Tools for the New Jim Code
Ruha Benjamin - 2019
Presenting the concept of the "New Jim Code," she shows how a range of discriminatory designs encode inequity by explicitly amplifying racial hierarchies; by ignoring but thereby replicating social divisions; or by aiming to fix racial bias but ultimately doing quite the opposite. Moreover, she makes a compelling case for race itself as a kind of technology, designed to stratify and sanctify social injustice in the architecture of everyday life.This illuminating guide provides conceptual tools for decoding tech promises with sociologically informed skepticism. In doing so, it challenges us to question not only the technologies we are sold but also the ones we ourselves manufacture.If you adopt this book for classroom use in the 2019-2020 academic year, the author would be pleased to arrange to Skype to a session of your class. If interested, enter your details in this sign-up sheet https: //buff.ly/2wJsvZr
Data Structures and Algorithms in Python
Michael T. Goodrich - 2012
Data Structures and Algorithms in Python
is the first mainstream object-oriented book available for the Python data structures course. Designed to provide a comprehensive introduction to data structures and algorithms, including their design, analysis, and implementation, the text will maintain the same general structure as Data Structures and Algorithms in Java and Data Structures and Algorithms in C++.
Information Theory: A Tutorial Introduction
James V. Stone - 2015
In this richly illustrated book, accessible examples are used to show how information theory can be understood in terms of everyday games like '20 Questions', and the simple MatLab programs provided give hands-on experience of information theory in action. Written in a tutorial style, with a comprehensive glossary, this text represents an ideal primer for novices who wish to become familiar with the basic principles of information theory.Download chapter 1 from http://jim-stone.staff.shef.ac.uk/Boo...
Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor
Virginia Eubanks - 2018
In Pittsburgh, a child welfare agency uses a statistical model to try to predict which children might be future victims of abuse or neglect.Since the dawn of the digital age, decision-making in finance, employment, politics, health and human services has undergone revolutionary change. Today, automated systems—rather than humans—control which neighborhoods get policed, which families attain needed resources, and who is investigated for fraud. While we all live under this new regime of data, the most invasive and punitive systems are aimed at the poor.In Automating Inequality, Virginia Eubanks systematically investigates the impacts of data mining, policy algorithms, and predictive risk models on poor and working-class people in America. The book is full of heart-wrenching and eye-opening stories, from a woman in Indiana whose benefits are literally cut off as she lays dying to a family in Pennsylvania in daily fear of losing their daughter because they fit a certain statistical profile.The U.S. has always used its most cutting-edge science and technology to contain, investigate, discipline and punish the destitute. Like the county poorhouse and scientific charity before them, digital tracking and automated decision-making hide poverty from the middle-class public and give the nation the ethical distance it needs to make inhumane choices: which families get food and which starve, who has housing and who remains homeless, and which families are broken up by the state. In the process, they weaken democracy and betray our most cherished national values.This deeply researched and passionate book could not be more timely.Naomi Klein: "This book is downright scary."Ethan Zuckerman, MIT: "Should be required reading."Dorothy Roberts, author of Killing the Black Body: "A must-read for everyone concerned about modern tools of inequality in America."Astra Taylor, author of The People's Platform: "This is the single most important book about technology you will read this year."