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Flexible pattern matching in strings: practical on-line search algorithms for texts and biological sequences

Analytic Pattern Matching: From DNA to Twitter

Mathematics for Machine Learning

Introduction to Graph Signal Processing

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

Introduction to Computational Genomics: A Case Studies Approach

Foundations of data science

An introduction to optimization on smooth manifolds

Introduction to Environmental Data Science

Natural Language Processing: A Machine Learning Perspective

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

Essentials of Pattern Recognition: An Accessible Approach

Kernel Methods for Pattern Analysis

Computational Topology for Data Analysis

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

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

Mining of massive datasets.

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

Natural language processing: a machine learning perspective

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

Mathematical Analysis of Machine Learning Algorithms

Understanding Machine Learning: From Theory to Algorithms

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

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

Introduction to applied linear algebra: vectors, matrices, and least squares

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

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

Scaling up Machine Learning: Parallel and Distributed Approaches

Understanding machine learning: from theory to algorithms

Foundations of data science

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