Books like A Concise Introduction to Machine Learning

#1

Reinforcement Learning Industrial Applications of Intelligent Agents

Phil Winder

Themes: Machine Learning • Business Intelligence • Business & Productivity Software

#2

Practical MLOps Operationalizing Machine Learning Models

Noah Gift

Themes: Machine Learning • Business Intelligence • Business & Productivity Software

#3

Machine Learning with R Expert Techniques for Predictive Modeling

Brett Lantz

Themes: Machine Learning • Data Analytics • Algorithms

#4

AI Engineering Building Applications with Foundation Models

Chip Huyen

Themes: Machine Learning • Business Intelligence • Business & Productivity Software

#5

Operating AI Bridging the Gap Between Technology and Business

Ulrika Jagare

Themes: Business Intelligence • Data Analytics • Business & Productivity Software

#6

Building Recommendation Systems in Python and Jax Hands-On Production Systems at Scale

Bryan Bischof

Themes: Machine Learning • Business Intelligence • Business & Productivity Software

#7

Machine Learning for Hackers

Conway, Drew

Themes: Machine Learning • Algorithms • Data Science

#8

Translational Application of Artificial Intelligence in Healthcare – a Textbook

Sandeep Reddy

Themes: Machine Learning • Algorithms • Data Science

#9

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

Jun Chen

Themes: Data Analytics • Algorithms • Data Science

#10

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

Daniel Vaughan

Themes: Machine Learning • Data Analytics • Algorithms

#11

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

Pedro Domingos

Themes: Machine Learning • Algorithms • Data Science

#12

Information-Statistical Data Mining Warehouse Integration with Examples of Oracle Basics

Bon K. Sy

Themes: Data Analytics • Algorithms • Business & Productivity Software

#13

Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data COVID-19 and Beyond

Siddhartha Bhattacharyya

Themes: Data Analytics • Data Science • Artificial Intelligence

#14

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

Mark Chang

Themes: Machine Learning • Data Science • Artificial Intelligence

#15

Hands-On Machine Learning with Microsoft Excel 2019 Build Complete Data Analysis Flows, from Data Collection to Visualization

Julio Cesar Rodriguez Martino

Themes: Machine Learning • Data Analytics • Business & Productivity Software

#16

The Little Learner A Straight Line to Deep Learning

Daniel P. Friedman

Themes: Machine Learning • Algorithms • Data Science

#17

Unifying Business, Data, and Code Designing Data Products with JSON Schema

Ron Itelman

Themes: Machine Learning • Data Analytics • Business & Productivity Software

#18

Big Data Analytics Methods Analytics Techniques in Data Mining, Deep Learning and Natural Language Processing

Peter Ghavami

Themes: Business Intelligence • Data Analytics • Business & Productivity Software

#19

Data Warehousing and Data Mining Techniques for Cyber Security

Anoop Singhal

Themes: Data Analytics • Algorithms • Data Science

#20

Architecting Modern Data Platforms A Guide to Enterprise Hadoop at Scale

Jan Kunigk

Themes: Business Intelligence • Data Analytics • Business & Productivity Software

#21

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

Trevor Hastie

Themes: Machine Learning • Data Analytics • Data Science

#22

Learning Airtable Building Database-Driven Applications with No-Code

Elliott Adams

Themes: Business Intelligence • Data Analytics • Business & Productivity Software

#23

Data Mining and Decision Support Integration and Collaboration

Dunja Mladenic

Themes: Data Analytics • Algorithms • Data Science

#24

Fast Data Processing with Spark

Krishna Sankar

Themes: Data Analytics • Algorithms • Business & Productivity Software