BOOKS - PROGRAMMING - A First Course in Machine Learning, Second Edition
A First Course in Machine Learning, Second Edition - Simon Rogers and Mark Girolami 2016 PDF CRC Press BOOKS PROGRAMMING
ECO~21 kg CO²

3 TON

Views
44035

Telegram
 
A First Course in Machine Learning, Second Edition
Author: Simon Rogers and Mark Girolami
Year: 2016
Format: PDF
File size: 165 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Python 3 and Machine Learning Using ChatGPT / GPT-4
Metaheuristics for Machine Learning Algorithms and Applications
Secrets of Machine Learning How It Works and What It Means for You
Machine Learning and Optimization for Engineering Design
Machine Learning by Tutorials (1st Edition)
Dirty Data Processing for Machine Learning
Machine Learning for Factor Investing: R Version
Random Matrix Methods for Machine Learning
Machine Learning for Future Wireless Communications
Practical Machine Learning Illustrated with KNIME
The Essentials of Machine Learning in Finance and Accounting
Machine Learning Make Your Own Recommender System
Practical Machine Learning in R 1st Edition
Metaheuristics for Machine Learning Algorithms and Applications
Just Enough R! An Interactive Approach to Machine Learning and Analytics
Secrets of Machine Learning How It Works and What It Means for You
Innovative Machine Learning Applications for Cryptography
Dirty Data Processing for Machine Learning
Machine Learning for Transportation Research and Applications
Quantum Machine Learning A Modern Approach
Probability and Statistics for Machine Learning A Textbook
Machine Learning for High-Risk Applications
Machine Learning for Big Data Analysis
Distributed Machine Learning Patterns (MEAP v7)
Machine Learning Algorithms Using Python Programming
Machine Learning Engineering (Final Version)
AI as a Service Serverless machine learning with AWS
Statistical Machine Learning for Engineering with Applications
Machine and Deep Learning Algorithms and Applications
Machine Learning Fundamentals A Concise Introduction
Machine Learning Algorithms From Scratch with Python
Probability and Statistics for Machine Learning A Textbook
Machine Learning, revised and updated edition
Methodologies, Frameworks, and Applications of Machine Learning
Informatics and Machine Learning From Martingales to Metaheuristics
Machine Learning Techniques and Industry Applications
Machine Learning Techniques and Industry Applications
Tkinter, Data Science, And Machine Learning
Dirty Data Processing for Machine Learning
Python 3 and Machine Learning Using ChatGPT / GPT-4