BOOKS - PROGRAMMING - Practicing Trustworthy Machine Learning
Practicing Trustworthy Machine Learning - Yada Pruksachatkun, Matthew McAteer and Subhabrata Majumdar 2022-04-12 First Release EPUB O’Reilly Media BOOKS PROGRAMMING
ECO~17 kg CO²

3 TON

Views
53872

Telegram
 
Practicing Trustworthy Machine Learning
Author: Yada Pruksachatkun, Matthew McAteer and Subhabrata Majumdar
Year: 2022-04-12 First Release
Format: EPUB
File size: 10 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Introduction to Machine Learning, 3rd Edition
Machine Learning Algorithms From Scratch with Python
Building Machine Learning Pipelines (First Edition)
Machine Learning for Physicists A hands-on approach
Machine Learning A Bayesian and Optimization Perspective
Machine Learning and Python for Human Behavior
Machine Learning, revised and updated edition
Practical Machine Learning Illustrated with KNIME
Practical Machine Learning in R (2021 Update)
Probability and Statistics for Machine Learning A Textbook
Machine Learning with Python: Master Pandas
Blockchain and Machine Learning for e-Healthcare Systems
Probabilistic Machine Learning Advanced Topics
Internet of Things and Machine Learning in Agriculture
Dirty Data Processing for Machine Learning
Machine Learning by Tutorials (2nd Edition)
Machine Learning and Optimization for Engineering Design
Machine Learning for Advanced Functional Materials
Statistical Machine Learning for Engineering with Applications
Machine Learning and IoT A Biological Perspective
Statistical Machine Learning: A Unified Framework
Machine Learning and Optimization for Engineering Design
Image Processing and Machine Learning, Vol 1
The Alignment Problem Machine Learning and Human Values
Mastering Computer Vision with PyTorch and Machine Learning
The Mathematics of Machine Learning Lectures on Supervised Methods and Beyond
Machine Learning Pocket Reference (Early Release)
Machine Learning in Pure Mathematics and Theoretical Physics
Societal Impacts of Artificial Intelligence and Machine Learning
Machine Learning and Visual Perception (De Gruyter STEM)
Introduction to Algorithms for Data Mining and Machine Learning
Machine Learning For Dummies, IBM Limited Edition
Machine Learning with Apache Spark (Early Release)
Machine Learning in Transportation Applications with Examples and Codes
Machine Learning with Python Foundations and Applications ML, Volume 1
Fundamentals of Data Analytics: With a View to Machine Learning
AI and Machine Learning On-Device Development (Second Early Release)
Mathematics for Machine Learning A Deep Dive into Algorithms
Advanced Techniques in Optimization for Machine Learning and Imaging
Machine Learning A Comprehensive Beginner|s Guide