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Adaptive Computation and Machine Learning series

Found in Science & Technology

Bioinformatics, second edition by Pierre Baldi and Søren Brunak

Veridical Data Science by Bin Yu and Rebecca L. Barter

Learning Theory from First Principles by Francis Bach

Adaptive Computation and Machine Learning series (27 Titles)

Learning Theory from First Principles

Learning Theory from First Principles

Veridical Data Science

Veridical Data Science

Foundations of Computer Vision

Foundations of Computer Vision

Fairness and Machine Learning

Fairness and Machine Learning

Probabilistic Machine Learning

Probabilistic Machine Learning

Machine Learning for Data Streams

Machine Learning for Data Streams

Learning Kernel Classifiers

Learning Kernel Classifiers

Introduction to Online Convex Optimization, second edition

Introduction to Online Convex Optimization, second edition

Machine Learning from Weak Supervision

Machine Learning from Weak Supervision

Probabilistic Machine Learning

Probabilistic Machine Learning

Knowledge Graphs

Knowledge Graphs

Introduction to Machine Learning, fourth edition

Introduction to Machine Learning, fourth edition

Introduction to Natural Language Processing

Introduction to Natural Language Processing

Introduction to Statistical Relational Learning

Introduction to Statistical Relational Learning

Foundations of Machine Learning, second edition

Foundations of Machine Learning, second edition

Reinforcement Learning, second edition

Reinforcement Learning, second edition

Learning with Kernels

Learning with Kernels

Elements of Causal Inference

Elements of Causal Inference

Deep Learning

Boosting

Boosting

See all 27 Titles

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