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  • A Concise Introduction to Machine Learning

    by A.C. Faul ...
    Series series Chapman & Hall/CRC Machine Learning & Pattern Recognition
    A Concise Introduction to Machine Learning uses mathematics as the common language to explain a variety of machine learning concepts from basic principles and illustrates every concept using examples in both Python and MATLAB®, which are available on GitHub and can be run from there in Binder in a web browser. Each chapter concludes with exercises to explore the content.The emphasis of the book is ... Read more

    $102.99 CAD

  • A Concise Introduction to Numerical Analysis

    by A. C. Faul ...
    This textbook provides an accessible and concise introduction to numerical analysis for upper undergraduate and beginning graduate students from various backgrounds. It was developed from the lecture notes of four successful courses on numerical analysis taught within the MPhil of Scientific Computing at the University of Cambridge. The book is easily accessible, even to those with limited ... Read more

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  • Advanced Calculus Demystified

    by David Bachman ...
    Series series Demystified
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  • The Concise Oxford Dictionary of Mathematics

    Sixth Edition

    Series series Oxford Quick Reference
    With over 4,000 entries, this informative A to Z provides clear, jargon-free definitions on a wide variety of mathematical terms. Its entries cover both pure and applied mathematics, and include key theories, concepts, methods, programmes, people, and terminology. For this sixth edition, around 800 new terms have been defined, expanding on the dictionary's coverage of topics such as algebra, ... Read more

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  • McGraw-Hill's 500 College Linear Algebra Questions to Know by Test Day

    500 Ways to Achieve Your Best GradesWe want you to succeed on your college linear algebra midterm and final exams. That's why we've selected these 500 questions to help you study more effectively, use your preparation time wisely, and get your best grades. These questions and answers are similar to the ones you'll find on a typical college exam, so you will know what to expect on test day. Each ... Read more

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  • Multiple View Geometry in Computer Vision

    A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques for solving this problem are taken from projective geometry and photogrammetry. Here, the authors cover the geometric principles and their algebraic representation in terms of camera projection matrices, the fundamental matrix and the trifocal tensor. The theory and ... Read more

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