How to Speak Whale : A Voyage into the Future of Animal Communication
Tom Mustill
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Neural Networks for Pattern Recognition
Christopher M. (, Microsoft Research) Bishop
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Mathematics for Machine Learning
Marc Peter (University College London) Deisenroth
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Machine Learning : The Art and Science of Algorithms that Make Sense of Data
Peter (University of Bristol) Flach
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Linear Algebra for Everyone
Gilbert (Massachusetts Institute of Technology) Strang
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Sacred Geometry : How to use cosmic patterns to power up your life
Jemma Foster
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High-Dimensional Probability : An Introduction with Applications in Data Science
Roman (University of California, Irvine) Vershynin
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High-Dimensional Statistics : A Non-Asymptotic Viewpoint
Martin J. (University of California, Berkeley) Wainwright
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Data Mining : The Textbook
Charu C. Aggarwal
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The Data Science Design Manual
Professor Steven S. Skiena
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Biometrics: A Very Short Introduction
Michael (Professor of Computer Vision, University of Kent) Fairhurst
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Hands-On Unsupervised Learning Using Python : How to Build Applied Machine Learning Solutions from Unlabeled Data
Ankur A. Patel
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Pattern Recognition
Konstantinos (Institute for Space Applications & Remote S Koutroumbas
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Pattern Recognition and Machine Learning
Christopher M. Bishop
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AI at the Edge : Solving Real-World Problems with Embedded Machine Learning
Daniel Situnayake
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Mathematics for Machine Learning
Marc Peter Deisenroth
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Machine Learning Refined : Foundations, Algorithms, and Applications
Jeremy (Northwestern University, Illinois) Watt
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Sacred Geometry : How to use cosmic patterns to power up your life
Jemma Foster
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Data Matching : Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection
Peter Christen
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Understanding Machine Learning : From Theory to Algorithms
Shai Shalev-Shwartz
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Outlier Analysis
Charu C. Aggarwal
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Introduction to Data Science : A Python Approach to Concepts, Techniques and Applications
Laura Igual
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Data Mining and Machine Learning : Fundamental Concepts and Algorithms
Mohammed J. (Rensselaer Polytechnic Institute, New York) Zaki
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Mining of Massive Datasets
Jure (Stanford University, California) Leskovec
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