The Machine Learning Solutions Architect Handbook - Second Edition Practical Strategies and Best Practices on the ML Lifecycle, System Design, MLOps, and Generative AI
David Ping
2022 · 2024 edition
602 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
Microprediction Building an Open AI Network
Peter Cotton
Published 2022
232 pages
Modern Time Series Forecasting with Python
Manu Joseph
2022 · 2024 edition
628 pages
Getting Started with Elastic Stack 8.0
Asjad Athick, Shay Banon
Published 2022
474 pages
Machine Learning Engineering in Action
Ben Wilson
Published 2022
576 pages
PostgreSQL 14 Administration Cookbook Over 175 Proven Recipes for Database Administrators to Manage Enterprise Databases Effectively
Simon Riggs, Gianni Ciolli
Published 2022
608 pages
Essential Math for AI Next-level Mathematics for Efficient and Successful AI Systems
Hala Nelson
Published 2022
568 pages
Interpretable AI Building Explainable Machine Learning Systems
Ajay Thampi
Published 2022
328 pages
Time Series Analysis with Python Cookbook Practical Recipes for Exploratory Data Analysis, Data Preparation, Forecasting, and Model Evaluation
Tarek A. Atwan
Published 2022
630 pages
Data Analysis for Social Science A Friendly and Practical Introduction
Elena Llaudet, Kosuke Imai
2022 · 2023 edition
238 pages
The Cloud Data Lake A Guide to Building Robust Cloud Data Architecture
Rukmani Gopalan
2022 · 2023 edition
244 pages
Extreme DAX
Michiel Rozema, Henk Vlootman
Published 2022
470 pages
There Are No Facts Attentive Algorithms, Extractive Data Practices, and the Quantification of Everyday Life
Mark Shepard
Published 2022
280 pages
Data Algorithms with Spark Recipes and Design Patterns for Scaling Up Using Pyspark
Mahmoud Parsian
Published 2022
412 pages
Python for Geospatial Data Analysis Theory, Tools, and Practice for Location Intelligence
Bonny P. McClain
Published 2022
262 pages
The Nature of Data Infrastructures, Environments, Politics
Jenny Goldstein, Eric Nost
Published 2022
344 pages
Event-Driven Architecture in Golang Building Complex Systems with Asynchronicity and Eventual Consistency
Michael Stack
Published 2022
384 pages
Modern Data Engineering with Apache Spark A Hands-On Guide for Building Mission-Critical Streaming Applications
Scott Haines
Published 2022
585 pages
In-Memory Analytics with Apache Arrow Perform Fast and Efficient Data Analytics on Both Flat and Hierarchical Structured Data
Matthew Topol, Wes McKinney
Published 2022
392 pages
Applied Machine Learning Explainability Techniques Make ML Models Explainable and Trustworthy for Practical Applications Using LIME, SHAP, and More
Aditya Bhattacharya
Published 2022
306 pages
Data Science Ethics
David Martens
Published 2022
272 pages
Developing Solutions for Microsoft Azure AZ-204 Exam Guide Discover the Essentials for Success When Developing and Maintaining Cloud-Based Solutions on Azure
Paul Ivey, Alex Ivanov
Published 2022
404 pages
Automated Machine Learning in Action
Qingquan Song, Haifeng Jin, Xia Hu
Published 2022
336 pages
The Kaggle Book Data Analysis and Machine Learning for Competitive Data Science
Luca Massaron, Konrad Banachewicz
Published 2022
534 pages