Random Matrix Methods for Machine Learning, Hardback - Zhenyu Liao

For graduate students, practitioners, and sophisticated users, this book offers a tutorial approach to the foundations of random matrix theory for ...

Publisher: Elsevier Science & TechnologyNumber of pages: 248Publication date: 2017Dimensions: 212 x 256 x 19Cover type: HardbackEditor(s): Hugo Ped...

Reducere. Unleash the power of Julia for your machine learning tasks. We reveal why Julia is chosen for more and more data science and machine learning proje...

Reducere. Redescopera farmecul lecturii si alege-ti de pe elefant.ro carti in limba engleza scrise de autori consacrati. Iti punem la dispozitie sute de mii ...

A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms.

Publisher: MIT Press LtdAuthor(s): Yoshua BengioNumber of pages: 256Collection: LeonardoPublication date: 2021Dimensions: 184 x 261 x 22Cover type:...

Reducere. The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector c...

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector c...

Publisher: Elsevier Science Publishing Co IncAuthor(s): Cho-Jui (Assistant Professor, UCLA Computer Science Department, USA) HsiehIllustration(s): ...

Reducere. Python Machine Learning for BeginnersMachine Learning (ML) and Artificial Intelligence (AI) are here to stay. Yes, that's right. Based on a signifi...

Reducere. Use popular data mining techniques in Microsoft Excel to better understand machine learning methods.Software tools and programming language package...

The theory of data assimilation and machine learning is introduced in an accessible and pedagogical manner, with a focus on the underlying statisti...

Entropy Randomization in Machine Learning presents a new approach to machine learning - entropy randomization - to obtain optimal solutions under u...

A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in...

The book carefully evaluates and compares the standard statistical models and approaches with those of machine learning and deep learning methods a...

Suitable for the current-or future-business professional, this book makes it easy for you to understand how you can most effectively use quantitati...

Reducere. This textbook introduces linear algebra and optimization in the context of machine learning. Examples and exercises are provided throughout the boo...

Reducere. This textbook introduces linear algebra and optimization in the context of machine learning. Examples and exercises are provided throughout this te...

This coherent introduction to machine learning for readers with a background in basic linear algebra, statistics, probability, and programming is s...

A practitioner's tools have a direct impact on the success of his or her work. This book will provide the data scientist with the tools and techniq...

With this practical book, you'll explore the possibilities of simulation- and synthesis-based machine learning and AI, concentrating on deep reinfo...

This guide helps data scientists build production-grade machine learning implementations with Kubeflow and shows data engineers how to make models ...

Reducere. Redescopera farmecul lecturii si alege-ti de pe elefant.ro carti in limba engleza scrise de autori consacrati. Iti punem la dispozitie sute de mii ...

Redescopera farmecul lecturii si alege-ti de pe elefant.ro carti in limba engleza scrise de autori consacrati. Iti punem la dispozitie sute de mii ...

This book provides a thorough introduction to both individual decision tree algorithms (Part I) and ensembles thereof (Part II). Part I of the book...

Contributor(s): Author: Alice ZhengAuthor: Amanda CasariFeature engineering is a crucial step in the machine-learning pipeline, yet this topic is r...

Reducere. From self-driving cars and recommender systems to speech and face recognition, machine learning is the way of the future. Would you like to learn t...

Publisher: Princeton University PressAuthor(s): Brandon M. StewartIllustration(s): 41 b/w illus. 27 tables.Number of pages: 360Publication date: 20...

3 comprehensive manuscripts in 1 book Machine Learning: An Essential Guide to Machine Learning for Beginners Who Want to Understand Applications, A...

An introduction to a powerful and flexible network modeling tool for developing and understanding complex systems, with many examples from a range ...

Reducere. Take the guesswork out of learning how to code and get ready for a fulfilling career in the tech industry If you're new to programming and are tryi...

This modern and self-contained book offers a clear and accessible introduction to the important topic of machine learning with neural networks. Fun...

This book divides edge intelligence into AI for edge (intelligence-enabled edge computing) and AI on edge (artificial intelligence on edge). It foc...

Reducere. This book was designed to encourage the adoption of simple matrix methods in teaching optics at the undergraduate and technical college level. Alth...

Reducere. Description♦♦Bonus: Buy the Paperback version of this book, and get the kindle eBook version included for FREE**Machine Learning is changing the wo...

If you're at the beginner stage and are looking to gain new knowledge about machine learning then keep reading...WARNING: Do not read this book if ...