Uczenie maszynowe

Hands-On Deep Learning with Go. A practical guide to building and implementing neural network models using Go

Gareth Seneque, Darrell Chua

Hands-On Deep Learning with R. A practical guide to designing, building, and improving neural network models using R

Rodger Devine, Michael Pawlus

Hands-On Deep Learning with TensorFlow. Uncover what is underneath your data!

Dan Van Boxel

Hands-On Ensemble Learning with Python. Build highly optimized ensemble machine learning models using scikit-learn and Keras

George Kyriakides, Konstantinos G. Margaritis

Hands-On Ensemble Learning with R. A beginner's guide to combining the power of machine learning algorithms using ensemble techniques

Prabhanjan Narayanachar Tattar

Hands-On GUI Programming with C++ and Qt5. Build stunning cross-platform applications and widgets with the most powerful GUI framework

Lee Zhi Eng

Hands-On Image Processing with Python. Expert techniques for advanced image analysis and effective interpretation of image data

Sandipan Dey

Hands-On Intelligent Agents with OpenAI Gym. Your guide to developing AI agents using deep reinforcement learning

Palanisamy

Hands-On Java Deep Learning for Computer Vision. Implement machine learning and neural network methodologies to perform computer vision-related tasks

Klevis Ramo

Hands-On Machine Learning for Algorithmic Trading. Design and implement investment strategies based on smart algorithms that learn from data using Python

Stefan Jansen

Hands-On Machine Learning for Cybersecurity. Safeguard your system by making your machines intelligent using the Python ecosystem

Soma Halder, Sinan Ozdemir

Hands-On Machine Learning with Azure. Build powerful models with cognitive machine learning and artificial intelligence

Thomas K Abraham, Parashar Shah, Jen Stirrup,...

Hands-On Machine Learning with C++. Build, train, and deploy end-to-end machine learning and deep learning pipelines

Kirill Kolodiazhnyi

Hands-On Machine Learning with C++. Build, train, and deploy end-to-end machine learning and deep learning pipelines - Second Edition

Kirill Kolodiazhnyi

Hands-On Machine Learning with IBM Watson. Leverage IBM Watson to implement machine learning techniques and algorithms using Python

James D. Miller

Hands-on Machine Learning with JavaScript. Solve complex computational web problems using machine learning

Burak Kanber