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
53866

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:

AI and Machine Learning for Coders (Early Release)
Statistical Machine Learning for Engineering with Applications
Dirty Data Processing for Machine Learning
Practical Machine Learning in R 1st Edition
Machine Learning Systems Designs that scale
Methodologies, Frameworks, and Applications of Machine Learning
Distributed Machine Learning Patterns (MEAP v7)
Informatics and Machine Learning From Martingales to Metaheuristics
Probability and Statistics for Machine Learning A Textbook
Quantum Machine Learning A Modern Approach
Random Matrix Methods for Machine Learning
IBM Watson Solutions for Machine Learning
Probabilistic Numerics: Computation as Machine Learning
Python 3 and Machine Learning Using ChatGPT / GPT-4
Machine Learning for Future Wireless Communications
Machine Learning for Real World Applications
Blockchain and Machine Learning for IoT Security
Python 3 and Machine Learning Using ChatGPT / GPT-4
Supervised Machine Learning for Text Analysis in R
Methodologies, Frameworks, and Applications of Machine Learning
Soft Computing and Machine Learning with Python
Machine Learning for Factor Investing: R Version
Machine Learning Fundamentals A Concise Introduction
Image Processing and Machine Learning, Vol 2
Understanding Machine Learning From Theory to Algorithms
Machine Learning Techniques and Industry Applications
Secrets of Machine Learning How It Works and What It Means for You
Just Enough R! An Interactive Approach to Machine Learning and Analytics
Metaheuristics for Machine Learning Algorithms and Applications
Machine Learning with Python Theory and Applications
Machine and Deep Learning Algorithms and Applications
Machine Learning by Tutorials (1st Edition)
Machine Learning for High-Risk Applications
Practical Machine Learning Illustrated with KNIME
Machine Learning for Big Data Analysis
Innovative Machine Learning Applications for Cryptography
Machine Learning for Transportation Research and Applications
Blockchain and Machine Learning for e-Healthcare Systems
Machine Learning for Neuroscience: A Systematic Approach
Tkinter, Data Science, And Machine Learning