Support Refhub: Together for Knowledge and Culture

Dear friends,

As you know, Refhub.ir has always been a valuable resource for accessing free and legal books, striving to make knowledge and culture available to everyone. However, due to the current situation and the ongoing war between Iran and Israel, we are facing significant challenges in maintaining our infrastructure and services.

Unfortunately, with the onset of this conflict, our revenue streams have been severely impacted, and we can no longer cover the costs of servers, developers, and storage space. We need your support to continue our activities and develop a free and efficient AI-powered e-reader for you.

To overcome this crisis, we need to raise approximately $5,000. Every user can help us with a minimum of just $1. If we are unable to gather this amount within the next two months, we will be forced to shut down our servers permanently.

Your contributions can make a significant difference in helping us get through this difficult time and continue to serve you. Your support means the world to us, and every donation, big or small, can have a significant impact on our ability to continue our mission.

You can help us through the cryptocurrency payment gateway available on our website. Every step you take is a step towards expanding knowledge and culture.

Thank you so much for your support,

The Refhub Team

Donate Now

Foundations of Machine Learning

4.9

Reviews from our users

You Can Ask your questions from this book's AI after Login
Each download or ask from book AI costs 2 points. To earn more free points, please visit the Points Guide Page and complete some valuable actions.

Related Refrences:

This graduate-level textbook introduces fundamental concepts and methods in machine learning. It describes several important modern algorithms, provides the theoretical underpinnings of these algorithms, and illustrates key aspects for their application. The authors aim to present novel theoretical tools and concepts while giving concise proofs even for relatively advanced topics. Foundations of Machine Learning fills the need for a general textbook that also offers theoretical details and an emphasis on proofs. Certain topics that are often treated with insufficient attention are discussed in more detail here; for example, entire chapters are devoted to regression, multi-class classification, and ranking. The first three chapters lay the theoretical foundation for what follows, but each remaining chapter is mostly self-contained. The appendix offers a concise probability review, a short introduction to convex optimization, tools for concentration bounds, and several basic properties of matrices and norms used in the book. The book is intended for graduate students and researchers in machine learning, statistics, and related areas; it can be used either as a textbook or as a reference text for a research seminar.

Free Direct Download

Get Free Access to Download this and other Thousands of Books (Join Now)

For read this book you need PDF Reader Software like Foxit Reader

Reviews:


4.9

Based on 0 users review