Machine Learning : An Artificial Intelligence Approach (Volume I)
Ryszard S. Michalski
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Thoughtful Machine Learning with Python : A Test-Driven Approach
Matthew Kirk
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Understanding Machine Learning : From Theory to Algorithms
Shai Shalev-Shwartz
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Hands-On Introduction to Machine Learning
Chirag Shah
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Data-Driven Science and Engineering : Machine Learning, Dynamical Systems, and Control
Steven L. Brunton
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Natural Language Processing with Transformers
Lewis Tunstall
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The Myth of Artificial Intelligence : Why Computers Can't Think the Way We Do
Larson Erik J. Larson
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Machine Learning : An Algorithmic Perspective, Second Edition
Stephen Marsland
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Machine Learning with Python for Everyone
Mark Fenner
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Introduction to AI Robotics, second edition
Robin R. Murphy
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Human-in-the-Loop Machine Learning : Active learning and annotation for human-centered AI
Robert (Munro) Monarch
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A First Course in Machine Learning
Simon Rogers
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Data Classification : Algorithms and Applications
Charu C. Aggarwal
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Deep Learning : A Practitioner's Approach
Josh Patterson
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TinyML : Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers
Pete Warden
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Data Governance: The Definitive Guide
Evren Eryurek
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Data Governance: The Definitive Guide
Evren Eryurek
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Evaluating Learning Algorithms : A Classification Perspective
Nathalie Japkowicz
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Big Data and Machine Learning in Quantitative Investment
Tony Guida
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Computer Age Statistical Inference : Algorithms, Evidence, and Data Science
Bradley Efron
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Computational Bayesian Statistics : An Introduction
M. Antonia Amaral Turkman
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Model-Based Clustering and Classification for Data Science : With Applications in R
Charles Bouveyron
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