Kirk Borne

Transformers for Machine Learning (from the Chapman & Hall/CRC Machine Learning & Pattern Recognition series): https://link.amazon/B09nhRsVJ Key Features: • Comprehensive reference book for detailed explanations for every algorithm and techniques related to the transformers. • 60+ transformer architectures covered in a comprehensive manner. • Understand how to apply the transformer techniques in speech, text, time series, and computer vision. • Practical tips and tricks for each architecture and how to use it in the real world. • Hands-on case studies and code snippets for theory and practical real-world analysis using the tools and libraries, all ready to run in Google Colab.