TensorFlow Machine Learning Cookbook. Over 60 recipes to build intelligent machine learning systems with the power of Python - Second Edition

Nick McClure

TensorFlow Machine Learning Projects. Build 13 real-world projects with advanced numerical computations using the Python ecosystem

Ankit Jain, Armando Fandango, Amita Kapoor

TensorFlow: Powerful Predictive Analytics with TensorFlow. Predict valuable insights of your data with TensorFlow

Md. Rezaul Karim

TensorFlow Reinforcement Learning Quick Start Guide. Get up and running with training and deploying intelligent, self-learning agents using Python

Kaushik Balakrishnan

Test-Driven Machine Learning. Control your machine learning algorithms using test-driven development to achieve quantifiable milestones

Joshua Burkhow, Justin Bozonier, Stefano Paluello

The Deep Learning with Keras Workshop. Learn how to define and train neural network models with just a few lines of code

Matthew Moocarme, Mahla Abdolahnejad, Ritesh Bhagwat

The Deep Learning with PyTorch Workshop. Build deep neural networks and artificial intelligence applications with PyTorch

Hyatt Saleh

The Deep Learning Workshop. Learn the skills you need to develop your own next-generation deep learning models with TensorFlow and Keras

Mirza Rahim Baig, Thomas V. Joseph, Nipun Sadvilkar, Mohan Kumar Silaparasetty, ...

The Kaggle Book. Data analysis and machine learning for competitive data science

Konrad Banachewicz, Luca Massaron, Anthony Goldbloom

The Kaggle Workbook. Self-learning exercises and valuable insights for Kaggle data science competitions

Konrad Banachewicz, Luca Massaron

The Machine Learning Solutions Architect Handbook. Practical strategies and best practices on the ML lifecycle, system design, MLOps, and generative AI - Second Edition

David Ping

The Machine Learning Workshop. Get ready to develop your own high-performance machine learning algorithms with scikit-learn - Second Edition

Hyatt Saleh

The Natural Language Processing Workshop. Confidently design and build your own NLP projects with this easy-to-understand practical guide

Rohan Chopra, Aniruddha M. Godbole, Nipun Sadvilkar, Muzaffar Bashir Shah, ...

The Statistics and Machine Learning with R Workshop. Unlock the power of efficient data science modeling with this hands-on guide

Liu Peng

The Supervised Learning Workshop. Predict outcomes from data by building your own powerful predictive models with machine learning in Python - Second Edition

Blaine Bateman, Ashish Ranjan Jha, Benjamin Johnston, Ishita Mathur

The TensorFlow Workshop. A hands-on guide to building deep learning models from scratch using real-world datasets

Matthew Moocarme, Anthony So, Anthony Maddalone

The Unsupervised Learning Workshop. Get started with unsupervised learning algorithms and simplify your unorganized data to help make future predictions

Aaron Jones, Christopher Kruger, Benjamin Johnston

Time Series Analysis on AWS. Learn how to build forecasting models and detect anomalies in your time series data

Michaël Hoarau

TinyML Cookbook. Combine artificial intelligence and ultra-low-power embedded devices to make the world smarter

Gian Marco Iodice, Ronan Naughton

TinyML Cookbook. Combine machine learning with microcontrollers to solve real-world problems - Second Edition

Gian Marco Iodice

TinyML. Wykorzystanie TensorFlow Lite do uczenia maszynowego na Arduino i innych mikrokontrolerach

Pete Warden, Daniel Situnayake

Transformers for Natural Language Processing. Build, train, and fine-tune deep neural network architectures for NLP with Python, Hugging Face, and OpenAI's GPT-3, ChatGPT, and GPT-4 - Second Edition

Denis Rothman, Antonio Gulli

Transforming Healthcare with DevOps. A practical DevOps4Care guide to embracing the complexity of digital transformation

Jeroen Mulder, Henry Mulder

Uczenie głębokie i sztuczna inteligencja. Interaktywny przewodnik ilustrowany

Jon Krohn, Grant Beyleveld, Aglaé Bassens