BOOKS - PROGRAMMING - Machine Learning a Concise Introduction
Machine Learning a Concise Introduction - Steven W. Knox 2018 PDF Wiley BOOKS PROGRAMMING
ECO~15 kg CO²

1 TON

Views
72817

Telegram
 
Machine Learning a Concise Introduction
Author: Steven W. Knox
Year: 2018
Pages: 352
Format: PDF
File size: 12.7 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Machine Learning Applications in Non-conventional Machining Processes
Cloud Native Machine Learning (MEAP Version 5)
Machine Learning Concepts, Tools And Data Visualization
Machine Learning for Cyber Agents: Attack and Defence
Machine Learning and Visual Perception (De Gruyter STEM)
Machine Learning in Farm Animal Behavior using Python
Artificial Intelligence and Machine Learning for Smart Community
Machine Learning Algorithms in Depth (Final Release)
Advanced Techniques in Optimization for Machine Learning and Imaging
Machine Learning Pocket Reference (Early Release)
Societal Impacts of Artificial Intelligence and Machine Learning
Симулятор Machine Learning Engineer продвинутая практика
The Comprehensive Guide to Machine Learning Algorithms and Techniques
Thinking Machines Machine Learning and Its Hardware Implementation
Machine Learning in Medical Imaging and Computer Vision
Distributed Machine Learning Patterns (Final Release)
Essentials of Python for Artificial Intelligence and Machine Learning
Machine Learning A Comprehensive Beginner|s Guide
Machine Learning with Apache Spark (Early Release)
The Mathematics of Machine Learning Lectures on Supervised Methods and Beyond
Genomics at the Nexus of AI, Computer Vision, and Machine Learning
Handbook of Research on Machine Learning Foundations and Applications
Machine Learning A Comprehensive Beginner|s Guide
Machine Learning with Python Foundations and Applications ML, Volume 1
The Mathematics of Machine Learning Lectures on Supervised Methods and Beyond
Cracking the Machine Learning Code Technicality or Innovation?
Introducing MLOps How to Scale Machine Learning in the Enterprise
Computational Formalism: Art History and Machine Learning
Cracking the Machine Learning Code Technicality or Innovation?
Machine Learning for Radio Resource Management and Optimization in 5G and Beyond
Machine Learning Applications From Computer Vision to Robotics
Machine Learning and Data Science Fundamentals and Applications
Advanced Techniques in Optimization for Machine Learning and Imaging
Machine Learning Algorithms Using Scikit and TensorFlow Environments
Machine Learning Algorithms Using Scikit and TensorFlow Environments
Practical Simulations for Machine Learning (Early Release)
Machine Learning with Python Cookbook, 2nd Edition
Machine Learning A Comprehensive Beginner|s Guide
The Mathematics of Machine Learning Lectures on Supervised Methods and Beyond
Cracking the Machine Learning Code Technicality or Innovation?