BOOKS - PROGRAMMING - Machine Learning Engineering in Action (MEAP Version 4)
Machine Learning Engineering in Action (MEAP Version 4) - Ben T.Wilson 2021 PDF Manning Publications BOOKS PROGRAMMING
ECO~14 kg CO²

1 TON

Views
55745

Telegram
 
Machine Learning Engineering in Action (MEAP Version 4)
Author: Ben T.Wilson
Year: 2021
Pages: 273
Format: PDF
File size: 18.2 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Machine Learning and Visual Perception (De Gruyter STEM)
Fundamentals of Data Analytics: With a View to Machine Learning
Machine Learning for Healthcare Systems Foundations and Applications
Machine Learning and Its Application A Quick Guide for Beginners
AI and Machine Learning for On-Device Development (Early Release)
Easily Practical Machine Learning Algorithms with Python
Artificial Intelligence and Machine Learning for Smart Community
Ethics, Machine Learning, and Python in Geospatial Analysis
Data Analytics in Bioinformatics A Machine Learning Perspective
Hands-On Machine Learning with Scikit-Learn and TensorFlow
Machine Learning Applications: From Computer Vision to Robotics
Pragmatic AI An Introduction to Cloud-Based Machine Learning
Computational Formalism: Art History and Machine Learning
Machine Learning in Medical Imaging and Computer Vision
Practical Machine Learning with R Tutorials and Case Studies
Introducing MLOps How to Scale Machine Learning in the Enterprise
Advanced Machine Learning with Evolutionary and Metaheuristic Techniques
Genomics at the Nexus of AI, Computer Vision, and Machine Learning
Machine Learning Refined Foundations, Algorithms, and Applications
Application of Machine Learning in Slope Stability Assessment
Machine Learning Applications From Computer Vision to Robotics
Artificial Intelligence With an Introduction to Machine Learning, Second Edition
The Mathematics of Machine Learning Lectures on Supervised Methods and Beyond
Machine Learning A Comprehensive Beginner|s Guide
The Mathematics of Machine Learning Lectures on Supervised Methods and Beyond
Machine Learning A Comprehensive Beginner|s Guide
Game Theory and Machine Learning for Cyber Security
Genomics at the Nexus of AI, Computer Vision, and Machine Learning
Cracking the Machine Learning Code Technicality or Innovation?
Advanced Machine Learning with Evolutionary and Metaheuristic Techniques
Essentials of Python for Artificial Intelligence and Machine Learning
Machine Learning with Apache Spark (Early Release)
Mastering Computer Vision with PyTorch and Machine Learning
How Machines Learn An Illustrated Guide to Machine Learning
Ethics, Machine Learning, and Python in Geospatial Analysis
Fundamental Mathematical Concepts for Machine Learning in Science
Machine Learning Hands-On for Developers and Technical Professionals
Natural Language Processing (A Machine Learning Perspective)
Thinking Machines Machine Learning and Its Hardware Implementation
Machine Learning Algorithms in Depth (Final Release)