Data Science with Semantic Technologies

Machine Learning with Python Cookbook

2nd Edition - Practical Solutions from Preprocessing to Deep Learning

How We Learn

The New Science of Education and the Brain

Generative Deep Learning

Teaching Machines To Paint, Write, Compose, and Play

Architecting Data and Machine Learning Platforms

Enable Analytics and Ai-Driven Innovation in the Cloud

Data Governance: The Definitive Guide

People, Processes, and Tools to Operationalize Data Trustworthiness

Machine Learning Interviews

Kickstart Your Machine Learning Career

Building Recommendation Systems in Python and Jax

Hands-On Production Systems at Scale

Analytics Engineering with SQL and Dbt

Building Meaningful Data Models at Scale

Practical Linear Algebra for Data Science

From Core Concepts to Applications Using Python

Modern Business Analytics

Increasing the Value of Your Data with Python and R

Causal Inference in Python

Applying Causal Inference in the Tech Industry

Effective Machine Learning Teams

Best Practices for ML Practitioners

Machine Learning Production Systems

Engineering Machine Learning Models and Pipelines

Learning Spark

Lightning-Fast Data Analytics

Practical Weak Supervision

Doing More with Less Data

Blueprints for Text Analytics using Python

Machine Learning Based Solutions for Common Real World (NLP) Applications

AI-First Healthcare

AI Applications in the Business and Clinical Management of Health

Introducing MLOps

How to Scale Machine Learning in the Enterprise

Graph-Powered Analytics and Machine Learning with TigerGraph

Driving Business Outcomes with Connected Data

Scaling Python with Dask

From Data Science to Machine Learning

Deep Learning for Coders with fastai and PyTorch

AI Applications Without a PhD

Algorithms of Anxiety

Fear in the Digital Age

A.I. Machine Learning

Nankai Symposium on Mathematical Dialogues

Celebrating the 110th anniversary of the birth of Prof. S.-S. Chern