What's new
Warez.Ge

This is a sample guest message. Register a free account today to become a member! Once signed in, you'll be able to participate on this site by adding your own topics and posts, as well as connect with other members through your own private inbox!

Principles of Machine Learning The Three Perspectives

voska89

Moderator
Staff member
44b88a5e246865c59b84c7b23c5baed8.webp

Free Download Principles of Machine Learning: The Three Perspectives by Wenmin Wang
English | October 27, 2024 | ISBN: 9819753325 | 562 pages | MOBI | 32 Mb
Conducting an in-depth analysis of machine learning, this book proposes three perspectives for studying machine learning: the learning frameworks, learning paradigms, and learning tasks. With this categorization, the learning frameworks reside within the theoretical perspective, the learning paradigms pertain to the methodological perspective, and the learning tasks are situated within the problematic perspective. Throughout the book, a systematic explication of machine learning principles from these three perspectives is provided, interspersed with some examples.​

The book is structured into four parts, encompassing a total of fifteen chapters. The inaugural part, titled "Perspectives," comprises two chapters: an introductory exposition and an exploration of the conceptual foundations. The second part, "Frameworks": subdivided into five chapters, each dedicated to the discussion of five seminal frameworks: probability, statistics, connectionism, symbolism, and behaviorism. Continuing further, the third part, "Paradigms," encompasses four chapters that explain the three paradigms of supervised learning, unsupervised learning, and reinforcement learning, and narrating several quasi-paradigms emerged in machine learning. Finally, the fourth part, "Tasks": comprises four chapters, delving into the prevalent learning tasks of classification, regression, clustering, and dimensionality reduction.
This book provides a multi-dimensional and systematic interpretation of machine learning, rendering it suitable as a textbook reference for senior undergraduates or graduate students pursuing studies in artificial intelligence, machine learning, data science, computer science, and related disciplines. Additionally, it serves as a valuable reference for those engaged in scientific research and technical endeavors within the realm of machine learning.
The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.

Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live

Uploady
mucfz.7z
Rapidgator
mucfz.7z.html
UploadCloud
mucfz.7z.html
Fikper
mucfz.7z.html
FreeDL
mucfz.7z.html

Links are Interchangeable - Single Extraction
 

Users who are viewing this thread

Back
Top