Engineering MLOps. Rapidly build, test, and manage production-ready machine learning life cycles at scale

Emmanuel Raj

Ensemble Machine Learning Cookbook. Over 35 practical recipes to explore ensemble machine learning techniques using Python

Dipayan Sarkar, Vijayalakshmi Natarajan

Essential Mathematics for Quantum Computing. A beginner's guide to just the math you need without needless complexities

Leonard S. Woody III

Exploring GPT-3. An unofficial first look at the general-purpose language processing API from OpenAI

Steve Tingiris, Bret Kinsella

Generative Adversarial Networks Cookbook. Over 100 recipes to build generative models using Python, TensorFlow, and Keras

Josh Kalin

Generative Adversarial Networks Projects. Build next-generation generative models using TensorFlow and Keras

Kailash Ahirwar

Generatywne głębokie uczenie, wyd. II. Uczenie maszyn, jak malować, pisać, komponować i grać

David Foster

Getting Started with Amazon SageMaker Studio. Learn to build end-to-end machine learning projects in the SageMaker machine learning IDE

Michael Hsieh

Getting Started with Streamlit for Data Science. Create and deploy Streamlit web applications from scratch in Python

Tyler Richards

Głębokie uczenie przez wzmacnianie. Praca z chatbotami oraz robotyka, optymalizacja dyskretna i automatyzacja sieciowa w praktyce. Wydanie II

Maxim Lapan

Głębokie uczenie. Wprowadzenie

Jacek Tabor, Marek Śmieja, Łukasz Struski, Przemysław Spurek, ...

Głębokie uczenie z TensorFlow. Od regresji liniowej po uczenie przez wzmacnianie

Bharath Ramsundar, Reza Bosagh Zadeh

Go Machine Learning Projects. Eight projects demonstrating end-to-end machine learning and predictive analytics applications in Go

Xuanyi Chew

Google Cloud AI Services Quick Start Guide. Build intelligent applications with Google Cloud AI services

Arvind Ravulavaru

Google Machine Learning and Generative AI for Solutions Architects. ​Build efficient and scalable AI/ML solutions on Google Cloud

Kieran Kavanagh, Priyanka Vergadia

Graph Machine Learning. Take graph data to the next level by applying machine learning techniques and algorithms

Claudio Stamile, Aldo Marzullo, Enrico Deusebio