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 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 Python Apprentice. Introduction to the Python Programming Language

Robert Smallshire, Austin Bingham

The Python Workshop. Learn to code in Python and kickstart your career in software development or data science

Andrew Bird, Dr. Lau Cher Han, Mario Corchero Jiménez, Graham Lee, ...

The Reinforcement Learning Workshop. Learn how to apply cutting-edge reinforcement learning algorithms to a wide range of control problems

Alessandro Palmas, Emanuele Ghelfi, Dr. Alexandra Galina Petre, Mayur Kulkarni, ...

The Statistics and Calculus with Python Workshop. A comprehensive introduction to mathematics in Python for artificial intelligence applications

Peter Farrell, Alvaro Fuentes, Ajinkya Sudhir Kolhe, Quan Nguyen, ...

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 with Python Cookbook. Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation

Tarek A. Atwan

Tkinter GUI Application Development Blueprints. Build nine projects by working with widgets, geometry management, event handling, and more - Second Edition

Bhaskar Chaudhary

Tkinter GUI Application Development Cookbook. A practical solution to your GUI development problems with Python and Tkinter

Alejandro Rodas de Paz

Tkinter GUI Programming by Example. Learn to create modern GUIs using Tkinter by building real-world projects in Python

David Love

Training Systems using Python Statistical Modeling. Explore popular techniques for modeling your data in Python

Curtis Miller

Transformers for Natural Language Processing. Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more

Denis Rothman

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

Jeroen Mulder, Henry Mulder

Uczenie głębokie od zera. Podstawy implementacji w Pythonie

Seth Weidman

Uczenie maszynowe w Pythonie dla każdego

Mark Fenner

Uczenie maszynowe w Pythonie. Leksykon kieszonkowy

Matt Harrison

Uczenie maszynowe w Pythonie. Receptury. Od przygotowania danych do deep learningu. Wydanie II

Kyle Gallatin, Chris Albon

Uczenie maszynowe z użyciem Scikit-Learn i TensorFlow

Aurélien Géron