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Sunday, March 10, 2019

Suggested Books of the Week 10, 2019

Check out these books below by Cambridge University Press.
An Introduction to the Philosophy of Logic

An Introduction to the Philosophy of Logic
Philosophy of logic is a fundamental part of philosophical study, and one which is increasingly recognized as being immensely important in relation to many issues in metaphysics, metametaphysics, epistemology, philosophy of mathematics, and philosophy of language...

This will be a major new resource for students working on logic, as well as for readers seeking a better understanding of philosophy of logic in its wider context.
  • Presents up-to-date and accessible discussion of a foundational part of philosophical study, and of its importance for related subdisciplines
  • Provides an overview of the connections between topics including metaphysics of logic, logical pluralism, and the meaning of logical constants
  • Allows students to understand the relevance of philosophical issues without having to wade through complex technical jargon

Quasi-Hopf Algebras - A Categorical Approach 

Quasi-Hopf Algebras
 A Categorical Approach
This is the first book to be dedicated entirely to Drinfeld's quasi-Hopf algebras. Ideal for graduate students and researchers in mathematics and mathematical physics, this treatment is largely self-contained, taking the reader from the basics, with complete proofs, to much more advanced topics, with almost complete proofs...

More advanced readers will benefit from having recent research gathered in one place, with open questions to inspire their own research.
  • Introduces beginners to the basics of quasi-Hopf algebras, including categorical machinery necessary for their study
  • Contains open problems which give the reader inspiration for future research
  • Brings together several advanced topics for the first time in one book
Read more... 

Adversarial Machine Learning

Adversarial Machine Learning
Written by leading researchers, this complete introduction brings together all the theory and tools needed for building robust machine learning in adversarial environments...

Providing a thorough overview of the current state of the art in the field, and possible future directions, this groundbreaking work is essential reading for researchers, practitioners and students in computer security and machine learning, and those wanting to learn about the next stage of the cybersecurity arms race.
  • The first book to provide a state-of-the-art review of adversarial machine learning
  • Covers availability and integrity attacks, privacy-preserving mechanisms, near-optimal evasion of classifiers, and future directions for adversarial machine learning
  • Includes in-depth case studies on email spam and network security

High-Dimensional Statistics - A Non-Asymptotic Viewpoint

High-Dimensional Statistics
A Non-Asymptotic Viewpoin
Recent years have witnessed an explosion in the volume and variety of data collected in all scientific disciplines and industrial settings. Such massive data sets present a number of challenges to researchers in statistics and machine learning...

With hundreds of worked examples and exercises, this text is intended both for courses and for self-study by graduate students and researchers in statistics, machine learning, and related fields who must understand, apply, and adapt modern statistical methods suited to large-scale data.
  • Almost 200 worked examples support the reader in building practical intuition and understanding the motivation for the theory
  • Contains over 250 exercises - ranging in difficulty from easy to challenging - which strengthen learning, with solutions available to instructors
  • The book is organized for teaching and learning, allowing instructors to choose one of several identified paths depending on course length

Enjoy your reading!    

Source: Cambridge University Press