Python

Hands-On GPU Computing with Python. Explore the capabilities of GPUs for solving high performance computational problems

Avimanyu Bandyopadhyay

Hands-On GPU Programming with Python and CUDA. Explore high-performance parallel computing with CUDA

Dr. Brian Tuomanen

Hands-On Gradient Boosting with XGBoost and scikit-learn. Perform accessible machine learning and extreme gradient boosting with Python

Corey Wade, Kevin Glynn

Hands-On Image Generation with TensorFlow. A practical guide to generating images and videos using deep learning

Soon Yau Cheong

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

Sandipan Dey

Hands-on JavaScript for Python Developers. Leverage your Python knowledge to quickly learn JavaScript and advance your web development career

Sonyl Nagale

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 scikit-learn and Scientific Python Toolkits. A practical guide to implementing supervised and unsupervised machine learning algorithms in Python

Tarek Amr

Hands-On Machine Learning with TensorFlow.js. A guide to building ML applications integrated with web technology using the TensorFlow.js library

Kai Sasaki

Hands-On Mathematics for Deep Learning. Build a solid mathematical foundation for training efficient deep neural networks

Jay Dawani

Hands-On MQTT Programming with Python. Work with the lightweight IoT protocol in Python

Gaston C. Hillar

Hands-On Music Generation with Magenta. Explore the role of deep learning in music generation and assisted music composition

Alexandre DuBreuil

Hands-On Natural Language Processing with Python. A practical guide to applying deep learning architectures to your NLP applications

Rajesh Arumugam, Rajalingappaa Shanmugamani

Hands-On Natural Language Processing with PyTorch 1.x. Build smart, AI-driven linguistic applications using deep learning and NLP techniques

Thomas Dop

Hands-On Neural Networks. Learn how to build and train your first neural network model using Python

Leonardo De Marchi, Laura Mitchell