290 Things to Know About Machine Learning Libraries

This informative book contains a comprehensive list of terms and their definitions within the field of Machine Learning Libraries. Featuring an extensive selection of technical vocabulary, this glossary-style publication is an essential resource for anyone seeking to improve their proficiency in the field.

From popular terminology like 'algorithm' and 'neural network', to more complex concepts such as 'deep learning', 'classification', and 'supervised learning', this book aims to satisfy the curiosity of both novice and experienced professionals in the field. With carefully crafted definitions that are easy to understand, it's perfect for those looking to improve their knowledge and overall proficiency on the topic.

Whether you're a researcher, academic or practitioner; this book will provide you with an indispensable tool for mastering the intricacies of Machine Learning Libraries. Each entry is well crafted, demonstrating how the study of these critical concepts can have transformative effects on your understanding of machine learning libraries.