Books like 'Power and Progress: Our Thousand-Year Struggle Over Technology and Prosperity'
Readers who enjoyed Power and Progress: Our Thousand-Year Struggle Over Technology and Prosperity by Daron Acemoğlu & Simon Johnson also liked the following books featuring the same tropes, story themes, relationship dynamics and character types.
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Designing Data-Intensive Applications by Martin Kleppmann
Rated: 4.72 of 5 stars · 18 ratingsData is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers... -
![Chip War: The Fight for the World's Most Critical Technology by Chris Miller]()
Chip War: The Fight for the World's Most Critical Technology by Chris Miller
Rated: 4.50 of 5 stars · 18 ratingsAn epic account of the decades-long battle to control what has emerged as the world's most critical resource—microchip technology—with the United States and China increasingly in conflict.You may be surprised to learn that microchips are the new oil—the scarce resource on which the modern world depends. Today, military, economic, and geopolitical power are built on a foundation of computer chips... -
![Hands-On Machine Learning with Scikit-Learn and TensorFlow by Aurélien Géron]()
Hands-On Machine Learning with Scikit-Learn and TensorFlow by Aurélien Géron
Rated: 4.57 of 5 stars · 14 ratingsA series of Deep Learning breakthroughs have boosted the whole field of machine learning over the last decade. Now that machine learning is thriving, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how... -
![Elon Musk by Walter Isaacson]()
Elon Musk by Walter Isaacson
Rated: 4.37 of 5 stars · 30 ratingsFrom the author of Steve Jobs and other bestselling biographies, this is the astonishingly intimate story of the most fascinating and controversial innovator of our era—a rule-breaking visionary who helped to lead the world into the era of electric vehicles, private space exploration, and artificial intelligence. Oh, and took over Twitter... -
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![Structure and Interpretation of Computer Programs by Harold Abelson, Gerald Jay Sussman]()
Structure and Interpretation of Computer Programs by Harold Abelson, Gerald Jay Sussman
Rated: 4.44 of 5 stars · 18 ratingsStructure and Interpretation of Computer Programs has had a dramatic impact on computer science curricula over the past decade. This long-awaited revision contains changes throughout the text... -
![Code: The Hidden Language of Computer Hardware and Software by Charles Petzold]()
Code: The Hidden Language of Computer Hardware and Software by Charles Petzold
Rated: 4.38 of 5 stars · 21 ratingsWhat do flashlights, the British invasion, black cats, and seesaws have to do with computers? In CODE, they show us the ingenious ways we manipulate language and invent new means of communicating with each other. And through CODE, we see how this ingenuity and our very human compulsion to communicate have driven the technological innovations of the past two centuries... -
![R for Data Science: Import, Tidy, Transform, Visualize, and Model Data by Hadley Wickham, Garrett Grolemund]()
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data by Hadley Wickham, Garrett Grolemund
Rated: 4.60 of 5 stars · 10 ratingsLearn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible... -
![Deep Learning with Python by François Chollet]()
Deep Learning with Python by François Chollet
Rated: 4.60 of 5 stars · 10 ratingsDeep learning is applicable to a widening range of artificial intelligence problems, such as image classification, speech recognition, text classification, question answering, text-to-speech, and optical character recognition. It is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on your smartphone, and much more... -
![Google必修的圖表簡報術 by 柯爾・諾瑟鮑姆・娜菲克]()
Google必修的圖表簡報術 by 柯爾・諾瑟鮑姆・娜菲克
Rated: 4.39 of 5 stars · 18 ratingsDon't simply show your data--tell a story with it! "Storytelling with Data" teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story... -
![Clean Code: A Handbook of Agile Software Craftsmanship by Robert C. Martin]()
Clean Code: A Handbook of Agile Software Craftsmanship by Robert C. Martin
Rated: 4.32 of 5 stars · 25 ratingsEven bad code can function. But if code isn't clean, it can bring a development organization to its knees. Every year, countless hours and significant resources are lost because of poorly written code. But it doesn't have to be that way. Noted software expert Robert C. Martin presents a revolutionary paradigm with Clean Code: A Handbook of Agile Software Craftsmanship... -
![The Elements of Statistical Learning: Data Mining, Inference, and Prediction by Trevor Hastie, Robert Tibshirani]()
The Elements of Statistical Learning: Data Mining, Inference, and Prediction by Trevor Hastie, Robert Tibshirani
Rated: 4.43 of 5 stars · 14 ratingsThis book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of colour graphics... -
![The AI Revolution: The Road to Superintelligence by Tim Urban]()
The AI Revolution: The Road to Superintelligence by Tim Urban
Rated: 4.63 of 5 stars · 8 ratingsThe topic everyone in the world should be talking about... -
![Grokking Algorithms: An illustrated guide for programmers and other curious people by Aditya Bhargava, Manning Publications by Aditya Y. Bhargava]()
Grokking Algorithms: An illustrated guide for programmers and other curious people by Aditya Bhargava, Manning Publications by Aditya Y. Bhargava
Rated: 4.38 of 5 stars · 16 ratingsSummary Grokking Algorithms is a fully illustrated, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more ...Available here : readmeaway... -
![Artificial Intelligence: A Guide for Thinking Humans by Melanie Mitchell, Мелани Митчелл]()
Artificial Intelligence: A Guide for Thinking Humans by Melanie Mitchell, Мелани Митчелл
Rated: 4.42 of 5 stars · 12 ratingsNo recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it... -
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![Recoding America: Why Government Is Failing in the Digital Age and How We Can Do Better by Jennifer Pahlka]()
Recoding America: Why Government Is Failing in the Digital Age and How We Can Do Better by Jennifer Pahlka
Rated: 4.42 of 5 stars · 12 ratings“The book I wish every policymaker would read... -
![The Algorithm Design Manual by Steven S. Skiena]()
The Algorithm Design Manual by Steven S. Skiena
Rated: 4.36 of 5 stars · 14 ratingsMost professional programmers that I've encountered are not well prepared to tacklealgorithmdesignproblems.Thisisapity, becausethetechniquesofalgorithm design form one of the core practical technologies of computer science... -
![The Alignment Problem: Machine Learning and Human Values by Brian Christian]()
The Alignment Problem: Machine Learning and Human Values by Brian Christian
Rated: 4.31 of 5 stars · 16 ratingsA 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... -
![How Big Things Get Done: The Surprising Factors That Determine the Fate of Every Project, from Home Renovations to Space Exploration and Everything In Between by Bent Flyvbjerg, Dan Gardner]()
How Big Things Get Done: The Surprising Factors That Determine the Fate of Every Project, from Home Renovations to Space Exploration and Everything In Between by Bent Flyvbjerg, Dan Gardner
Rated: 4.28 of 5 stars · 18 ratingsThe secrets to successfully planning and delivering projects on any scale—from home renovation to space exploration—by the world’s leading expert on megaprojects “This book is important, timely, instructive, and entertaining. What more could you ask for?”—Daniel Kahneman, Nobel Prize–winning author of Thinking, Fast and Slow “Over-budget and over-schedule is an inevitability... -
![Reinforcement Learning: An Introduction by Richard S. Sutton, Andrew G. Barto]()
Reinforcement Learning: An Introduction by Richard S. Sutton, Andrew G. Barto
Rated: 4.50 of 5 stars · 8 ratingsRichard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications... -
![Information Theory, Inference and Learning Algorithms by David J.C. MacKay]()
Information Theory, Inference and Learning Algorithms by David J.C. MacKay
Rated: 4.50 of 5 stars · 8 ratingsInformation theory and inference, often taught separately, are here united in one entertaining textbook. These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics, and cryptography... -
![Computer Systems: A Programmers Perspective [with Introduction to RISC Assembly Language Programming] by Randal E. Bryant, David R. O'Hallaron]()
Computer Systems: A Programmers Perspective [with Introduction to RISC Assembly Language Programming] by Randal E. Bryant, David R. O'Hallaron
Rated: 4.40 of 5 stars · 10 ratingsFor Computer Organization and Architecture and Computer Systems courses in CS and EE and ECE departments. Developed out of an introductory course at Carnegie Mellon University, this text explains the important and enduring concepts underlying all computer systems, and shows the concrete ways that these ideas affect the correctness, performance, and utility of application programs... -
![Inventing Bitcoin: The Technology Behind The First Truly Scarce and Decentralized Money Explained by Yan Pritzker]()
Inventing Bitcoin: The Technology Behind The First Truly Scarce and Decentralized Money Explained by Yan Pritzker
Rated: 4.40 of 5 stars · 10 ratingsBitcoin may well be the greatest invention of our time, and most people have no idea what it is, or how it works. Walking through its invention step by step, this short two hour read is critical before you invest.No technical expertise required! Read it, then share it with your loved ones.“It was much quicker and easier to understand than I expected [.. -
![Vaccinated: One Man's Quest to Defeat the World's Deadliest Diseases by Paul A. Offit]()
Vaccinated: One Man's Quest to Defeat the World's Deadliest Diseases by Paul A. Offit
Rated: 4.29 of 5 stars · 14 ratingsMaurice Hilleman's mother died a day after he was born and his twin sister stillborn. As an adult, he said that he felt he had escaped an appointment with death. He made it his life's work to see that others could do the same... -
![Pattern Recognition and Machine Learning by Christopher M. Bishop]()
Pattern Recognition and Machine Learning by Christopher M. Bishop
Rated: 4.29 of 5 stars · 14 ratingsPattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years... -
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![Power And Prediction: The Disruptive Economics of Artificial Intelligence by Ajay Agrawal, Joshua Gans]()
Power And Prediction: The Disruptive Economics of Artificial Intelligence by Ajay Agrawal, Joshua Gans
Rated: 4.22 of 5 stars · 18 ratingsDisruption resulting from the proliferation of AI is coming. The authors of the bestselling Prediction Machines describe what you can do to prepare.Banking and finance, pharmaceuticals, automotive, medical technology, retail. Artificial intelligence (AI) has made its way into many industries around the world... -
![Neural Networks and Deep Learning by Michael Nielsen]()
Neural Networks and Deep Learning by Michael Nielsen
Rated: 4.50 of 5 stars · 6 ratingsNeural Networks and Deep Learning is a free online book... -
![The Mathematical Theory of Communication by Claude Shannon, Warren Weaver]()
The Mathematical Theory of Communication by Claude Shannon, Warren Weaver
Rated: 4.38 of 5 stars · 8 ratingsScientific knowledge grows at a phenomenal pace--but few books have had as lasting an impact or played as important a role in our modern world as The Mathematical Theory of Communication, published originally as a paper on communication theory more than fifty years ago. Republished in book form shortly thereafter, it has since gone through four hardcover and sixteen paperback printings... -
![Make Your Own Neural Network by Tariq Rashid]()
Make Your Own Neural Network by Tariq Rashid
Rated: 4.38 of 5 stars · 8 ratingsA gentle journey through the mathematics of neural networks, and making your own using the Python computer language. Neural networks are a key element of deep learning and artificial intelligence, which today is capable of some truly impressive feats. Yet too few really understand how neural networks actually work... -
![Learning From Data: A Short Course by Yaser S. Abu-Mostafa, Malik Magdon-Ismail]()
Learning From Data: A Short Course by Yaser S. Abu-Mostafa, Malik Magdon-Ismail
Rated: 4.38 of 5 stars · 8 ratingsMachine learning allows computational systems to adaptively improve their performance with experience accumulated from the observed data. Its techniques are widely applied in engineering, science, finance, and commerce. This book is designed for a short course on machine learning. It is a short course, not a hurried course... -
![Machine Learning: A Probabilistic Perspective by Kevin P. Murphy]()
Machine Learning: A Probabilistic Perspective by Kevin P. Murphy
Rated: 4.38 of 5 stars · 8 ratings...
![Computer Systems: A Programmers Perspective [with Introduction to RISC Assembly Language Programming] by Randal E. Bryant, David R. O'Hallaron](https://48f-1.s3.eu-west-2.amazonaws.com/books/small/6247f6501644e44564a69130.jpg)
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