Power And Prediction
Ajay Agrawal, Joshua Gans, Avi Goldfarb
Published 2022
256 pages
The most popular data science books of 2022
Data science books show you how to learn from data. Statistics, databases, visualization and machine learning are taught through practical examples, usually with code. Beginners will find gentle introductions and working analysts will find deeper references. Good reading for a career change, too. This list shows the ones first published in 2022.
Results
Expected Goals The Story of How Data Conquered Football and Changed the Game Forever
Rory Smith
Published 2022
304 pages
Cloudmoney Cash, Cards, Crypto, and the War for Our Wallets
Brett Scott
Published 2022
288 pages
Fundamentals of Data Engineering Plan and Build Robust Data Systems
Joe Reis, Matt Housley
Published 2022
422 pages
The Digital Mindset What it Really Takes to Thrive in the Age of Data, Algorithms, and AI
Paul Leonardi, Tsedal Neeley
Published 2022
249 pages
"You Are Not Expected to Understand This" How 26 Lines of Code Changed the World
Torie Bosch, Kelly Chudler
Published 2022
216 pages
Data Mesh Delivering Data-driven Value at Scale
Zhamak Dehghani
Published 2022
345 pages
Observability Engineering Achieving Production Excellence
Charity Majors, Liz Fong-Jones, George Miranda
Published 2022
295 pages
Machine Learning with PyTorch and Scikit-Learn Develop Machine Learning and Deep Learning Models with Python
Sebastian Raschka, Yuxi (Hayden) Liu
Published 2022
774 pages
An Answer for Everything 200 Infographics to Explain the World
Delayed Gratification
Published 2022
320 pages
The Equality Machine Harnessing Digital Technology for a Brighter, More Inclusive Future
Orly Lobel
Published 2022
352 pages
Natural Language Processing with Transformers Building Language Applications with Hugging Face
Thomas Wolf, Lewis Tunstall, Leandro von Werra
Published 2022
383 pages
The Business Case for AI A Leader's Guide to AI Strategies, Best Practices & Real-World Applications
Kavita Ganesan
Published 2022
318 pages
KAGGLE BOOK Data Analysis and Machine Learning for Competitive Data Science
Luca Massaron, Konrad Banachewicz
2022 · 2025 edition
672 pages
GPT-3 Building Innovative NLP Products Using Large Language Models
Sandra Kublik, Shubham Saboo
Published 2022
131 pages
Queer Data Using Gender, Sex and Sexuality Data for Action
Kevin Guyan, Anthony Mandal, Jenny Kidd
Published 2022
227 pages
Ethical Machines Your Concise Guide to Totally Unbiased, Transparent, and Respectful AI
Reid Blackman
Published 2022
224 pages
Kafka in Action
Dylan Scott, Viktor Gamov, Dave Klein
Published 2022
272 pages
Probabilistic Machine Learning Advanced Topics
Kevin P. Murphy
2022 · 2023 edition
1360 pages
Snowflake The Definitive Guide
Joyce Avila
Published 2022
442 pages
Text as Data A New Framework for Machine Learning and the Social Sciences
Justin Grimmer, Brandon M. Stewart, Margaret E. Roberts
Published 2022
336 pages
Effective Data Science Infrastructure How to Make Data Scientists Productive
Ville Tuulos
Published 2022
352 pages
Data Analysis with Python and PySpark
Jonathan Rioux
Published 2022
425 pages
ColorWise A Data Storyteller's Guide to the Intentional Use of Color
Kate Strachnyi
Published 2022
165 pages