Books like Machine Learning for Hackers

#1

Machine Learning with R Expert Techniques for Predictive Modeling

Brett Lantz

Themes: Machine Learning • Machine Theory • Algorithms

#2

AI Engineering Building Applications with Foundation Models

Chip Huyen

Themes: Natural Language Processing • Machine Learning • Machine Theory

#3

The Master Algorithm How the Quest for the Ultimate Learning Machine Will Remake Our World

Pedro Domingos

Themes: Machine Learning • Machine Theory • Algorithms

#4

Transformers for Machine Learning A Deep Dive

Uday Kamath

Themes: Natural Language Processing • Machine Theory • Data Science

#5

Detecting Regime Change in Computational Finance Data Science, Machine Learning and Algorithmic Trading

Jun Chen

Themes: Machine Theory • Algorithms • Data Science

#6

Translational Application of Artificial Intelligence in Healthcare – a Textbook

Sandeep Reddy

Themes: Machine Learning • Algorithms • Data Science

#7

A Concise Introduction to Machine Learning

A. C Faul

Themes: Machine Learning • Algorithms • Data Science

#8

Federated AI for Real-world Business Scenarios

Dinesh C. Verma

Themes: Machine Theory • Algorithms • Data Science

#9

The Little Learner A Straight Line to Deep Learning

Daniel P. Friedman

Themes: Machine Learning • Algorithms • Data Science

#10

Automatic Indexing and Abstracting of Document Texts

Marie-Francine Moens

Themes: Natural Language Processing • Algorithms • Data Science

#11

Reinforcement Learning Industrial Applications of Intelligent Agents

Phil Winder

Themes: Machine Learning • Machine Theory • Data Science

#12

Machine Learning, Blockchain, and Cyber Security in Smart Environments Application and Challenges

Sarvesh Tanwar

Themes: Machine Learning • Machine Theory • Data Science

#13

The Elements of Statistical Learning Data Mining, Inference, and Prediction

Trevor Hastie

Themes: Machine Learning • Machine Theory • Data Science

#14

Natural Language Processing with Transformers Building Language Applications with Hugging Face

Lewis Tunstall

Themes: Natural Language Processing • Machine Learning • Data Science

#15

Cloud Based Multi-Modal Information Analytics A Hands-On Approach

Srinidhi Hiriyannaiah

Themes: Machine Learning • Machine Theory • Data Science

#16

Practical MLOps Operationalizing Machine Learning Models

Noah Gift

Themes: Machine Learning • Machine Theory • Data Science

#17

High Performance Discovery In Time Series Techniques and Case Studies

Dennis Elliott Shasha

Themes: Algorithms • Data Science • Artificial Intelligence

#18

A Common-sense Guide to Data Structures and Algorithms Level Up Your Core Programming Skills

Jay Wengrow

Themes: Machine Learning • Algorithms • Data Science

#19

Foundation, Architecture and Prototyping of Humanized AI A New Constructivist Approach

Mark Chang

Themes: Machine Learning • Data Science • Artificial Intelligence

#20

Handbook of Nature-Inspired and Innovative Computing Integrating Classical Models with Emerging Technologies

Albert Y. Zomaya

Themes: Machine Theory • Algorithms • Artificial Intelligence

#21

Data Science: the Hard Parts Techniques for Excelling at Data Science

Daniel Vaughan

Themes: Machine Learning • Algorithms • Data Science

#22

Knowledge Discovery and Measures of Interest

Robert Hilderman

Themes: Algorithms • Data Science • Artificial Intelligence

#23

Integration of Natural Language and Vision Processing Theory and Grounding Representations

Paul Mc Kevitt

Themes: Natural Language Processing • Algorithms • Artificial Intelligence

#24

Mastering the Data Paradox Key to Winning in the AI Age

Nitin Seth

Themes: Natural Language Processing • Machine Learning • Data Science