AI Engineering

Natural Language Processing with Transformers, Revised Edition

Introduction to Machine Learning with Python

A Guide for Data Scientists

ChatGPT For Dummies

For Dummies (Computer/Tech)

AI Engineering

Building Applications with Foundation Models

Blueprints for Text Analytics using Python

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

Applied Natural Language Processing in the Enterprise

Teaching Machines to Read, Write, and Understand

Programming PyTorch for Deep Learning

Creating and Deploying Deep Learning Applications

Machine Learning Pocket Reference

Working with Structured Data in Python

The Cathedral & the Bazaar - Musings on Linux & Open Source by an Accidental Revolutionary Rev

Musings on Linux and Open Source by an Accidental Revolutionary

Microsoft 365 Copilot At Work

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

Hands-On Machine Learning with C++ - Second Edition

Build, train, and deploy end-to-end machine learning and deep learning pipelines

Generative AI on Google Cloud with LangChain

Design scalable generative AI solutions with Python, LangChain, and Vertex AI on Google Cloud

Artificial Intelligence - 2nd Edition

Foundations of Computational Agents

Building Machine Learning Powered Applications

Going from Idea to Product

Hands-On Unsupervised Learning Using Python

How to Build Applied Machine Learning Solutions from Unlabeled Data

Essential Math for AI

Next-Level Mathematics for Efficient and Successful AI Systems

Explainable AI for Practitioners

Designing and Implementing Explainable ML Solutions

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3e

Concepts, Tools, and Techniques to Build Intelligent Systems

Reliable Machine Learning

Applying SRE Principles to ML in Production

Natural Language Processing in Action

In Action

Natural Language Processing with Spark NLP

Learning to Understand Text at Scale

Building Machine Learning Pipelines

Semantic Modeling for Data

Avoiding Pitfalls and Breaking Dilemmas

Machine Learning for Hackers

OREILLY AND ASSOCIATE