Top 8 Best Machine Learning A Probabilistic Perspective

of July 2024
1
Best ChoiceBest Choice
Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)
The MIT Press
The MIT Press

10
Exceptional
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2
Best ValueBest Value
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
Springer
Springer

9.9
Exceptional
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3
Pattern Recognition and Machine Learning (Information Science and Statistics)
Springer
Springer

9.8
Exceptional
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4
Machine Learning: A Bayesian and Optimization Perspective
Academic Press
Academic Press

9.7
Exceptional
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5
Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)
Morgan Kaufmann
Morgan Kaufmann

9.6
Exceptional
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6
Fundamentals of Machine Learning for Predictive Data Anayltics: Algorithms, Worked Examples, and Case Studies
The MIT Press
The MIT Press

9.5
Excellent
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7
Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series)

9.4
Excellent
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8
Deep Learning (Adaptive Computation and Machine Learning series)
The MIT Press
The MIT Press

9.3
Excellent
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9
K: A History of Baseball in Ten Pitches
Doubleday Books
Doubleday Books

9.2
Excellent
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10
Planning with Markov Decision Processes: An AI Perspective (Synthesis Lectures on Artificial Intelligence and Machine Learning)
Morgan & Claypool Publishers
Morgan & Claypool Publishers

9.1
Excellent
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About Machine Learning A Probabilistic Perspective

Click here to learn more about these products.

Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)

Mit Press.

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

Language Published English. Binding Hardcover. Comes in Good condition.

Pattern Recognition and Machine Learning (Information Science and Statistics)

Springer.

Machine Learning: A Bayesian and Optimization Perspective

Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)

NEW.

Fundamentals of Machine Learning for Predictive Data Anayltics: Algorithms, Worked Examples, and Case Studies

The MIT Press.

Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series)

Deep Learning (Adaptive Computation and Machine Learning series)

Language Published English. Binding hardcover. It ensures you get the best usage for a longer period.

K: A History of Baseball in Ten Pitches

Planning with Markov Decision Processes: An AI Perspective (Synthesis Lectures on Artificial Intelligence and Machine Learning)