Books like 'R for Data Science: Import, Tidy, Transform, Visualize, and Model Data'
Readers who enjoyed R for Data Science: Import, Tidy, Transform, Visualize, and Model Data by Hadley Wickham & Garrett Grolemund also liked the following books featuring the same tropes, story themes, relationship dynamics and character types.
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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... -
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... -
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
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... -
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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... -
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 Mom Test: How to talk to customers & learn if your business is a good idea when everyone is lying to you by Rob Fitzpatrick
Rated: 4.33 of 5 stars · 24 ratingsThe Mom Test is a quick, practical guide that will save you time, money, and heartbreak. They say you shouldn't ask your mom whether your business is a good idea, because she loves you and will lie to you. This is technically true, but it misses the point. You shouldn't ask anyone if your business is a good idea. It's a bad question and everyone will lie to you at least a little... -
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
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
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 personal-growth technology audiobook classics non-fiction philosophy psychological -
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
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
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... -
High Output Management by Andrew S. Grove
Rated: 4.29 of 5 stars · 24 ratingsIn this legendary business book and Silicon Valley staple, the former chairman and CEO of Intel shares his perspective on how to build and run a company. A practical handbook for navigating real-life business scenarios and a powerful management manifesto with the ability to revolutionize the way we work... -
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No Rules Rules: Netflix and the Culture of Reinvention by Reed Hastings, Erin Meyer
Rated: 4.27 of 5 stars · 26 ratingsA New York Times Bestseller and Shortlisted for the 2020 Financial Times & McKinsey Business Book of the Year Netflix cofounder Reed Hastings reveals for the first time the unorthodox culture behind one of the world's most innovative, imaginative, and successful companies There's never before been a company like Netflix... -
The DevOps Handbook, Second Edition: How to Create World-Class Agility, Reliability, & Security in Technology Organizations by Gene Kim, Jez Humble
Rated: 4.33 of 5 stars · 18 ratingsThis award-winning and bestselling business handbook for digital transformation is now fully updated and expanded with the latest research and new case studies!Over the last five years, The DevOps Handbook has been the definitive guide for taking the successes laid out in the bestselling The Phoenix Project and applying them in any organization... -
Build: An Unorthodox Guide to Making Things Worth Making by Tony Fadell
Rated: 4.33 of 5 stars · 18 ratingsFor readers of Creativity, Inc. by Ed Catmull (65k copies sold), The Lean Startup by Eric Ries (260k) and Zero to One by Peter Thiel (460k)... -
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 Manager's Path: A Guide for Tech Leaders Navigating Growth and Change by Camille Fournier
Rated: 4.29 of 5 stars · 21 ratingsManaging people is difficult wherever you work, but the tech industry as a whole is pretty bad at it. Tech companies in general lack the experience, tools, texts, and frameworks to do it well. And the handful of books that share tips and tricks of engineering management don t explain how to supervise employees in the face of growth and change... -
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... -
Python Crash Course: A Hands-On, Project-Based Introduction to Programming by Eric Matthes
Rated: 4.33 of 5 stars · 15 ratingsThe best-selling Python book in the world, with over 1 million copies sold! A fast-paced, no-nonsense, updated guide to programming in Python... -
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... -
Inspired: How to Create Tech Products Customers Love by Marty Cagan
Rated: 4.23 of 5 stars · 26 ratingsThe basic premise of Inspired is that the best tech companies create products in a manner very different from how most companies create products. The goal of the book is to share the techniques of the best companies. This book is aimed primarily at Product Managers working on technology-powered products... -
The Clean Coder: A Code of Conduct for Professional Programmers by Robert C. Martin
Rated: 4.28 of 5 stars · 18 ratingsProgrammers who endure and succeed amidst swirling uncertainty and nonstop pressure share a common attribute: They care deeply about the practice of creating software. They treat it as a craft. They are professionals. In The Clean Coder: A Code of Conduct for Professional Programmers, legendary software expert Robert C... -
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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
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
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
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... -
Resilient Management by Lara Hogan
Rated: 4.40 of 5 stars · 10 ratingsFinding your bearings as a manager can feel overwhelming—but you don’t have to fake it to make it, and you don’t have to go it alone. Lara Hogan shares her recipe for supporting and leading a tech team—from developing your mentoring and coaching skills, to getting comfortable with having difficult conversations, to boosting trust among teammates—while staying grounded along the way... -
The Staff Engineer's Path: A Guide for Individual Contributors Navigating Growth and Change by Tanya Reilly
Rated: 4.40 of 5 stars · 10 ratingsFor years, companies have rewarded their most effective engineers with management positions. But treating management as the default path for an engineer with leadership ability doesn't serve the industry well--or the engineer. The staff engineer's path allows engineers to contribute at a high level as role models, driving big projects, determining technical strategy, and raising everyone's skills...
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