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Scaling up Machine Learning: Parallel and Distributed Approaches

Algorithms on Strings, Trees, and Sequences: Computer Science and Computational Biology

Kernel methods and machine learning

Algorithmic High-Dimensional Robust Statistics

Understanding machine learning: from theory to algorithms

Foundations of data science

High-Dimensional Probability: An Introduction With Applications in Data Science : 47

Foundations of data science

Mining of massive datasets.

Introduction to Computational Genomics: A Case Studies Approach

Analytic Pattern Matching: From DNA to Twitter

Analytic pattern matching: from DNA to Twitter

Introduction to Support Vector Machines and Other Kernel-based Learning Methods

Mathematics for Machine Learning

Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares

High-dimensional statistics: a non-asymptotic viewpoint : 48

Introduction to Graph Signal Processing

Data Mining and Machine Learning: Fundamental Concepts and Algorithms

Inference and Learning from Data. Volume 1 Foundations : Volume 1,

Natural language processing: a machine learning perspective

Natural Language Processing: A Machine Learning Perspective

Machine Learning for Engineers: Principles and Algorithms Through Signal Processing and Information Theory

Inference and Learning from Data. Volume 3 Learning : Volume 3,

An introduction to optimization on smooth manifolds

Introduction to Environmental Data Science

High-Dimensional Statistics: A Non-Asymptotic Viewpoint : 48

Computational Topology for Data Analysis

Inference and Learning from Data. Volume 2 Inference : Volume 2,

Kernel Methods for Pattern Analysis

Essentials of Pattern Recognition: An Accessible Approach

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