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
44037

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:

Machine Learning with Apache Spark (Early Release)
Stochastic Optimization for Large-scale Machine Learning
Thinking Machines Machine Learning and Its Hardware Implementation
Mastering Computer Vision with PyTorch and Machine Learning
Machine Learning in Pure Mathematics and Theoretical Physics
Societal Impacts of Artificial Intelligence and Machine Learning
Machine Learning Pocket Reference (Early Release)
Cracking the Machine Learning Code Technicality or Innovation?
Big Data and Machine Learning in Quantitative Investment
Machine Learning with Python Foundations and Applications ML, Volume 1
Fundamentals of Machine Learning An Introduction to Neural Networks
Practical MLOps Operationalizing Machine Learning Models
Mastering Computer Vision with PyTorch and Machine Learning
Machine Learning for Beginners Easy Guide Book
Handbook of Research on Machine Learning Foundations and Applications
Hamiltonian Monte Carlo Methods in Machine Learning
Machine Learning and Visual Perception (De Gruyter STEM)
Machine Learning Hybridization and Optimization for Intelligent Applications
Machine Learning and Its Application A Quick Guide for Beginners
Demystifying Big Data and Machine Learning for Healthcare
Fundamentals of Data Analytics: With a View to Machine Learning
Machine Learning for Radio Resource Management and Optimization in 5G and Beyond
Advanced Techniques in Optimization for Machine Learning and Imaging
Machine Learning Approaches in Cyber Security Analytics
Artificial Intelligence and Machine Learning for Smart Community
Machine Learning in Farm Animal Behavior using Python
Practical Machine Learning for Data Analysis Using Python
Bayesian Machine Learning in Geotechnical Site Characterization
Hands-On Machine Learning with Scikit-Learn and TensorFlow
Machine Learning Applications From Computer Vision to Robotics
Practical Simulations for Machine Learning (Early Release)
Game Theory and Machine Learning for Cyber Security
Machine Learning and Data Science Fundamentals and Applications
The Comprehensive Guide to Machine Learning Algorithms and Techniques
Advanced Techniques in Optimization for Machine Learning and Imaging
Genomics at the Nexus of AI, Computer Vision, and Machine Learning
The Mathematics of Machine Learning Lectures on Supervised Methods and Beyond
Machine Learning A Comprehensive Beginner|s Guide
Artificial Intelligence With an Introduction to Machine Learning, Second Edition
Machine Learning in Transportation Applications with Examples and Codes