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
61299

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:

Elements of Data Science, Machine Learning, and Artificial Intelligence Using R
Scaling Python with Dask: From Data Science to Machine Learning
Online Machine Learning A Practical Guide with Examples in Python
Python Machine Learning 100 Drills with Solution Diagrams
AI and Machine Learning for On-Device Development A Programmer|s Guide
Applied Machine Learning: A practical guide from Novice to Pro.
Python for Machine Learning From Fundamentals to Real-World Applications
An Introduction to Electronic Warfare From the First Jamming to Machine Learning Techniques
Machine Learning, Blockchain, and Cyber Security in Smart Environments
The AI Playbook Mastering the Rare Art of Machine Learning Deployment
Optimized Predictive Models in Health Care Using Machine Learning
Text as Data: A New Framework for Machine Learning and the Social Sciences
Blockchain, Big Data and Machine Learning Trends and Applications
Data Analytics and Machine Learning for Integrated Corridor Management
Thoughtful Machine Learning with Python A Test-Driven Approach
Building Machine Learning Powered Applications (Early Release)
Applications of Deep Machine Learning in Future Energy Systems
Introduction to Statistical and Machine Learning Methods for Data Science
Data Science and Machine Learning Applications in Subsurface Engineering
Machine Learning for the Physical Sciences Fundamentals and Prototyping with Julia
Metaheuristic and Machine Learning Optimization Strategies for Complex Systems
IoT, Machine Learning and Data Analytics for Smart Healthcare
Python for Machine Learning: From Fundamentals to Real-World Applications
Molecular Networking Statistical Mechanics in the Age of AI and Machine Learning
Sustainable Materials The Role of Artificial Intelligence and Machine Learning
Applications of Optimization and Machine Learning in Image Processing and IoT
Machine Learning for Risk Calculations A Practitioner|s View
Machine Learning and Data Mining Annual Volume 2023
Machine Learning for Decision Sciences with Case Studies in Python
Machine Learning for Asset Managers (Elements in Quantitative Finance)
Data Analytics and Machine Learning for Integrated Corridor Management
Practical Machine Learning for Computer Vision (Early Release)
Online Machine Learning A Practical Guide with Examples in Python
Biomedical Imaging Advances in Artificial Intelligence and Machine Learning
Python for Machine Learning From Fundamentals to Real-World Applications
Data Science and Machine Learning Applications in Subsurface Engineering
Handbook of Research on Big Data Clustering and Machine Learning
Artificial Intelligence and Machine Learning in Drug Design and Development
Distributed Artificial Intelligence for 5G/6G Communications Frameworks with Machine Learning
Machine Learning for Asset Management New Developments and Financial Applications