Intelligent and Soft Computing

How We Learn

The New Science of Education and the Brain

R for Data Science

Import, Tidy, Transform, Visualize, and Model Data

Deciphering Data Architectures

Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh

Data Governance: The Definitive Guide

People, Processes, and Tools to Operationalize Data Trustworthiness

Modern Data Analytics in Excel

Using Power Query, Power Pivot and More for Enhanced Data Analytics

Architecting Data and Machine Learning Platforms

Enable Analytics and Ai-Driven Innovation in the Cloud

Deep Learning for Coders with fastai and PyTorch

AI Applications Without a PhD

Analytics Engineering with SQL and Dbt

Building Meaningful Data Models at Scale

Machine Learning Interviews

Kickstart Your Machine Learning Career

Building Recommendation Systems in Python and Jax

Hands-On Production Systems at Scale

Machine Learning with Python Cookbook

2nd Edition - Practical Solutions from Preprocessing to Deep Learning

Blueprints for Text Analytics using Python

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

Practical Weak Supervision

Doing More with Less Data

Effective Machine Learning Teams

Best Practices for ML Practitioners

AI-First Healthcare

AI Applications in the Business and Clinical Management of Health

Introducing MLOps

How to Scale Machine Learning in the Enterprise

Scaling Python with Dask

From Data Science to Machine Learning

Causal Inference in Python

Applying Causal Inference in the Tech Industry

Graph-Powered Analytics and Machine Learning with TigerGraph

Driving Business Outcomes with Connected Data

Tiny ML

Learning Spark

Lightning-Fast Data Analytics

Prompt Engineering for Generative AI

Future-Proof Inputs for Reliable AI Outputs

Algorithms of Anxiety

Fear in the Digital Age

Microsoft 365 Copilot At Work

Using AI to Get the Most from Your Business Data and Favorite Apps