Books like 'An Introduction to Statistical Learning: with Applications in Python'
Readers who enjoyed An Introduction to Statistical Learning: with Applications in Python by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani & Jonathan Taylor also liked the following books featuring the same tropes, story themes, relationship dynamics and character types.
-
Instantiation by Greg Egan
Rated: 4.10 of 5 stars · 10 ratings“Instantiation” is a collection of eleven science fiction stories by Hugo Award winning author Greg Egan: • “The Discrete Charm of the Turing Machine” • “Zero For Conduct” • “Uncanny Valley” • “Seventh Sight” • “The Nearest” • “Shadow Flock” • “Bit Players” • “Break My Fall” • “3-adica” • “The Slipway” •... -
![I Heart Logs by Jay Kreps]()
I Heart Logs by Jay Kreps
Rated: 3.83 of 5 stars · 6 ratingsWhy would someone write a book about computer logs? It turns out that the humble log is an abstraction that lies at the heart of many systems, from NoSQL databases to cryptocurrencies. Yet other than occasionally tailing a log file, most engineers don't think much about them. This book shows you why logs are worthy of your attention... -
![The Box by Hugh Howey]()
The Box by Hugh Howey
Rated: 3.80 of 5 stars · 10 ratingsWhat happens when artificial intelligence comes online, only to find itself locked in a room with a... -
![Science Fiction and Philosophy: From Time Travel to Superintelligence by Susan Schneider]()
Science Fiction and Philosophy: From Time Travel to Superintelligence by Susan Schneider
Rated: 3.71 of 5 stars · 7 ratingsA timely volume that uses science fiction as a springboard to meaningful philosophical discussions, especially at points of contact between science fiction and new scientific developments... -
-
![Future Visions: Original Science Fiction Inspired by Microsoft by Jennifer Henshaw, Elizabeth Bear]()
Future Visions: Original Science Fiction Inspired by Microsoft by Jennifer Henshaw, Elizabeth Bear
Rated: 3.58 of 5 stars · 12 ratingsFuture Visions: Original Science Fiction Inspired by Microsoft is an anthology of new short work from some of the greatest science fiction writers in the field. These visionary stories explore prediction science, quantum computing, real-time translation, machine learning, and much more... -
![Designing Data-Intensive Applications by Martin Kleppmann]()
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... -
![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... -
![The Dream Machine: J. C. R. Licklider and the Revolution That Made Computing Personal by M. Mitchell Waldrop]()
The Dream Machine: J. C. R. Licklider and the Revolution That Made Computing Personal by M. Mitchell Waldrop
Rated: 4.60 of 5 stars · 10 ratingsIn 1962, decades before "personal computers" and "Internet" became household words, the revolution that gave rise to both of them was set in motion from a small, nondescript office in the depths of the Pentagon. In an age when the word "computer" still meant a big, ominous mainframe mysteriously processing punch cards, the occupant of that office-an MIT psychologist named J.C.R... -
![The Visual Display of Quantitative Information by Edward R. Tufte]()
The Visual Display of Quantitative Information by Edward R. Tufte
Rated: 4.39 of 5 stars · 18 ratingsThe classic book on statistical graphics, charts, tables. Theory and practice in the design of data graphics, 250 illustrations of the best (and a few of the worst) statistical graphics, with detailed analysis of how to display data for precise, effective, quick analysis. Design of the high-resolution displays, small multiples. Editing and improving graphics. The data-ink ratio... -
-
![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 Pragmatic Programmer: From Journeyman to Master by Andy Hunt, Dave Thomas]()
The Pragmatic Programmer: From Journeyman to Master by Andy Hunt, Dave Thomas
Rated: 4.32 of 5 stars · 25 ratingsStraight from the programming trenches, The Pragmatic Programmer cuts through the increasing specialization and technicalities of modern software development to examine the core process--taking a requirement and producing working, maintainable code that delights its users...Categorized as:
ai technology audiobook classics non-fiction personal-growth philosophy psychological -
![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... -
![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... -
![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... -
![Introduction to Algorithms by Thomas H. Cormen, Charles E Leiserson]()
Introduction to Algorithms by Thomas H. Cormen, Charles E Leiserson
Rated: 4.24 of 5 stars · 21 ratingsA comprehensive update of the leading algorithms text, with new material on matchings in bipartite graphs, online algorithms, machine learning, and other topics. Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness... -
![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... -
![How We Learn: The New Science of Education and the Brain by Stanislas Dehaene]()
How We Learn: The New Science of Education and the Brain by Stanislas Dehaene
Rated: 4.29 of 5 stars · 14 ratings'Absorbing, mind-enlarging, studded with insights ... This could have significant real-world results' Sunday TimesHumanity's greatest feat is our incredible ability to learn. Even in their first year, infants acquire language, visual and social knowledge at a rate that surpasses the best supercomputers...Categorized as:
ai technology non-fiction psychological audiobook personal-growth philosophy medical -
![Rationality: From AI to Zombies by Eliezer Yudkowsky]()
Rationality: From AI to Zombies by Eliezer Yudkowsky
Rated: 4.29 of 5 stars · 14 ratingsWhat does it actually mean to be rational? Not Hollywood-style "rational," where you forsake all human feeling to embrace Cold Hard Logic. Real rationality, of the sort studied by psychologists, social scientists, and mathematicians...Categorized as:
ai technology philosophy non-fiction psychological personal-growth audiobook evolution
![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)
Or - use our amazing romance book finder to get recommendations based on your favorite content tropes and themes. Mix and match at will.
