Julia for Data Analysis
Bogumił Kamiński
Published 2023
472 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
Ensemble Methods for Machine Learning
Gautam Kunapuli
Published 2023
352 pages
Designing Deep Learning Systems A Software Engineer's Guide
Chi Wang, Donald Szeto
Published 2023
360 pages
Delta Lake
Dan Davis, Bennie Haelen
Published 2023
264 pages
Latex Graphics with TikZ A Practitioners Guide to Draw 2D and 3D Images, Diagrams, Charts, and Plots
Stefan Kottwitz
Published 2023
304 pages
Practical A/B Testing Creating Experimentation-Driven Products
Leemay Nassery
Published 2023
168 pages
Because Data Can't Speak for Itself A Practical Guide to Telling Persuasive Policy Stories
David Chrisinger, Lauren Brodsky
Published 2023
152 pages
The Kaggle Workbook Self-Learning Exercises and Valuable Insights for Kaggle Data Science Competitions
Konrad Banachewicz, Luca Massaron
Published 2023
172 pages
Building Real-Time Analytics Systems From Events to Insights with Apache Kafka and Apache Pinot
Mark Needham
Published 2023
218 pages
Implementing MLOps in the Enterprise A Production-First Approach
Yaron Haviv, Noah Gift
Published 2023
361 pages
Hands-On Graph Neural Networks Using Python Practical Techniques and Architectures for Building Powerful Graph and Deep Learning Apps with Pytorch
Maxime Labonne
Published 2023
354 pages
Teach Yourself VISUALLY Power BI
Alexander Loth
Published 2023
256 pages
Mastering Classification Algorithms for Machine Learning Learn how to apply Classification algorithms for effective Machine Learning solutions
Partha Majumdar
Published 2023
380 pages
Prometheus
Julien Pivotto, Brian Brazil
Published 2023
400 pages
Applied Geospatial Data Science with Python
David S. Jordan
Published 2023
308 pages
Distributional Reinforcement Learning
Marc G. Bellemare, Will Dabney, Mark Rowland
Published 2023
384 pages
Algorithmic Intelligence Towards an Algorithmic Foundation for Artificial Intelligence
Stefan Edelkamp
Published 2023
467 pages
Exploratory Data Analysis with Python Cookbook Over 50 Recipes to Analyze, Visualize, and Extract Insights from Structured and Unstructured Data
Ayodele Oluleye
Published 2023
382 pages
Vector Search for Practitioners with Elastic A Toolkit for Building NLP Solutions for Search, Observability, and Security Using Vector Search
Bahaaldine Azarmi, Jeff Vestal
Published 2023
240 pages
Network Science with Python Explore the Networks Around Us Using Network Science, Social Network Analysis, and Machine Learning
David Knickerbocker
Published 2023
414 pages
Modern Data Architecture on AWS A Practical Guide for Building Next-Gen Data Platforms on AWS
Behram Irani
Published 2023
420 pages
Fundamentals of Data Observability Implement Trustworthy End-To-End Data Solutions
Andy Petrella
Published 2023
264 pages
Practical Julia A Hands-On Introduction for Scientific Minds
Lee Phillips
Published 2023
528 pages
Game Analytics
Russell Ovans
Published 2023
301 pages