BOOKS - PROGRAMMING - Foundations of Machine Learning, Second Edition
Foundations of Machine Learning, Second Edition - Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar 2018 PDF The MIT Press BOOKS PROGRAMMING
ECO~32 kg CO²

3 TON

Views
61292

Telegram
 
Foundations of Machine Learning, Second Edition
Author: Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar
Year: 2018
Format: PDF
File size: 10.18 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Machine Learning: A Probabilistic Perspective
Applied Machine Learning Using mlr3 in R
Practical Machine Learning with H2O
Applied Machine Learning Using mlr3 in R
Entropy Randomization in Machine Learning
Machine Learning Theory to Applications
Algorithmic Aspects of Machine Learning
Handbook of Evolutionary Machine Learning
Intro To Machine Learning with PyTorch
Python Machine Learning Projects
Art in the Age of Machine Learning
Model-Based Machine Learning
Machine Learning for Decision Makers, 2 Ed
Machine Learning in Healthcare and Security
Dynamic Fuzzy Machine Learning
Machine Learning in 2D Materials Science
Machine Learning for Planetary Science
Machine Learning Crash Course for Engineers
Source Separation and Machine Learning
Advances in Financial Machine Learning
Machine Learning for Cyber Security
An Introduction to Machine Learning Interpretability
Operationalizing Machine Learning Pipelines
Automated Machine Learning in Action
Unsupervised Machine Learning with Python
Handbook of Evolutionary Machine Learning
Machine Learning Theory and Applications
Machine Learning for Industrial Applications
Lie Group Machine Learning
Adversarial Robustness for Machine Learning
A hands-on introduction to machine learning
Mitigating Bias in Machine Learning
Managing Machine Learning Projects
Statistical Prediction and Machine Learning
Machine Learning in 2D Materials Science
Mitigating Bias in Machine Learning
.NET Core For Machine Learning
Machine Learning for Physics and Astronomy
Machine Learning for Speaker Recognition
Machine Learning Algorithms Simplified