Machine learning books

The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th...  Read More >>

Trends in Deep Learning Methodologies: Algorithms, Applications, and Systems covers deep learning approaches such...  Read More >>

The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th...  Read More >>

The remaining chapters of the book provide everything one must know about the basic artificial intelligence to modern...  Read More >>

This updated second edition offers a guided tour of machine learning algorithms and architecture design. It provides...  Read More >>

Build and deploy machine learning and deep learning models in production with end-to-end examples. This book begins...  Read More >>

The third part presents various work based on the probability principle, including dual supervised learning and...  Read More >>

The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th...  Read More >>

The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th...  Read More >>

This book constitutes the proceedings of the 19th China National Conference on Computational Linguistics, CCL 2020,...  Read More >>

This three volume book set constitutes the proceedings of the Third International Conference on Machine Learning...  Read More >>

An authority on creativity introduces readers to AI-powered computers that are creating art, literature, and music...  Read More >>

Integrate MLOps principles into existing or future projects using MLFlow, operationalize your models, and deploy...  Read More >>

The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th...  Read More >>

This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics...  Read More >>

This book presents ground-breaking advances in the domain of causal structure learning. The problem of distinguishing...  Read More >>

The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th...  Read More >>

This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics...  Read More >>

With the intriguing development of technologies in several industries, along with the advent of ubiquitous computational...  Read More >>

The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th...  Read More >>

The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th...  Read More >>

The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th...  Read More >>

Work with natural language tools and techniques to solve real-world problems. This book focuses on how natural language...  Read More >>

The design patterns in this book capture best practices and solutions to recurring problems in machine learning....  Read More >>

Dive into hyperparameter tuning of machine learning models and focus on what hyperparameters are and how they work....  Read More >>