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
72816

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:

Metaheuristics for Machine Learning Algorithms and Applications
Machine Learning, revised and updated edition
Machine Learning Systems Designs that scale
Blockchain and Machine Learning for IoT Security
Building Business Models with Machine Learning
Mathematical Analysis of Machine Learning Algorithms
Probabilistic Numerics: Computation as Machine Learning
Secrets of Machine Learning How It Works and What It Means for You
Internet of Things and Machine Learning in Agriculture
The Essentials of Machine Learning in Finance and Accounting
Data Protection The Wake of AI and Machine Learning
Machine Learning for Complex and Unmanned Systems
Introduction to AC Machine Design (IEEE Press Series on Power Engineering)
Machine Learning Hands-On for Developers and Technical Professionals
Advanced Machine Learning with Evolutionary and Metaheuristic Techniques
Machine Learning with TensorFlow, 2nd Edition (Final)
Ethics, Machine Learning, and Python in Geospatial Analysis
Mastering Computer Vision with PyTorch and Machine Learning
How Machines Learn An Illustrated Guide to Machine Learning
Biological Pattern Discovery with R Machine Learning Approaches
Machine Learning for Beginners Easy Guide Book
Machine Learning for Financial Risk Management with Python
Societal Impacts of Artificial Intelligence and Machine Learning
AI and Machine Learning On-Device Development (Early Release)
Hands-On Machine Learning with Scikit-Learn and TensorFlow
Machine Learning for Healthcare Systems Foundations and Applications
Practical Machine Learning for Data Analysis Using Python
Multi-Agent Machine Learning A Reinforcement Approach
Angular and Machine Learning Pocket Primer (Computing)
Hacker|s Guide to Machine Learning with Python
Game Theory and Machine Learning for Cyber Security
Python Machine Learning Practical Guide for Beginners
Fundamentals of Data Analytics: With a View to Machine Learning
Demystifying Big Data and Machine Learning for Healthcare
Machine Learning Hybridization and Optimization for Intelligent Applications
Practical Machine Learning with R Tutorials and Case Studies
Effective Machine Learning Teams: Best Practices for Ml Practitioners
Mastering Computer Vision with PyTorch and Machine Learning
AI and Machine Learning for On-Device Development (Early Release)
Mathematical Analysis for Machine Learning and Data Mining