Scaling Machine Learning with Spark Distributed ML with MLlib, TensorFlow, and PyTorch
Adi Polak
Published 2023
270 pages
The most popular data science books of 2023
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 2023.
Results
Machine Learning for High-risk Applications Approaches to Responsible AI
James Curtis, Patrick Hall, Parul Pandey
Published 2023
438 pages
The Future Is Big How Emerging Technologies Are Transforming Industry and Societies
Uma Vanka
Published 2023
210 pages
Designing Data Governance from the Ground Up Six Steps to Build a Data-Driven Culture
Lauren Maffeo
Published 2023
108 pages
Present Beyond Measure Design, Visualize, and Deliver Data Stories That Inspire Action
Lea Pica
Published 2023
368 pages
Practical Charts The Essential Guide to Creating Clear, Compelling Charts for Reports and Presentations
Nicholas P. Desbarats
Published 2023
302 pages
Data Curious Applying Agile Analytics for Better Business Decisions
Carl Allchin, Sarah Nabelsi
Published 2023
137 pages
Julia as a Second Language General Purpose Programming with a Taste of Data Science
Erik Engheim
Published 2023
400 pages
AI at the Edge Solving Real-world Problems with Embedded Machine Learning
Daniel Situnayake, Jenny Plunkett
Published 2023
487 pages
How to Make Things Faster Lessons in Performance from Technology and Everyday Life
Cary Millsap
Published 2023
350 pages
Chart Spark Harness Your Creativity in Data Communication to Stand Out and Innovate
Alli Torban
Published 2023
162 pages
Learning Ray Flexible Distributed Python for Machine Learning
Max Pumperla, Edward Oakes, Richard Liaw
Published 2023
250 pages
How to Become a Data Analyst My Low-Cost, No Code Roadmap for Breaking into Tech
Annie Nelson
2023 · 2024 edition
288 pages
Managing Machine Learning Projects From Design to Deployment
Simon Thompson
Published 2023
272 pages
Scaling Python with Ray Adventures in Cloud and Serverless Patterns
Holden Karau, Boris Lublinsky
Published 2023
266 pages
Driving Data Quality with Data Contracts A Comprehensive Guide to Building Reliable, Trusted and Effective Data Platforms
Andrew Jones
Published 2023
206 pages
Building an Event-Driven Data Mesh Patterns for Designing & Building Event-Driven Architectures
Adam Bellemare
Published 2023
262 pages
Modeling Social Behavior Mathematical and Agent-Based Models of Social Dynamics and Cultural Evolution
Paul E. Smaldino
Published 2023
360 pages
The Shortcut Why Intelligent Machines Do Not Think Like Us
Nello Cristianini
Published 2023
174 pages
Bayesian Optimization in Action
Quan Nguyen
Published 2023
424 pages
Architecting Data and Machine Learning Platforms Enable Analytics and AI-driven Innovation in the Cloud
Valliappa Lakshmanan, Marco Tranquillin, Firat Tekiner
Published 2023
338 pages
AI for Finance
Edward Tsang
Published 2023
106 pages
Low-Code AI A Practical Project-Driven Introduction to Machine Learning
Gwendolyn Stripling, Michael Abel, Michael Abel (PhD)
Published 2023
325 pages
Probabilistic Machine Learning for Finance and Investing A Primer to Generative AI with Python
Deepak K. Kanungo
Published 2023
247 pages