BOOKS - PROGRAMMING - Machine Learning Engineering in Action
Machine Learning Engineering in Action - Ben T.Wilson 2022 PDF Manning Publications BOOKS PROGRAMMING
ECO~19 kg CO²

2 TON

Views
41272

Telegram
 
Machine Learning Engineering in Action
Author: Ben T.Wilson
Year: 2022
Pages: 578
Format: PDF
File size: 26,3 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Machine Learning Engineering in Action
Machine Learning Engineering in Action (MEAP Version 4)
Machine Learning Production Systems Engineering Machine Learning Models and Pipelines
Intelligent Prognostics for Engineering Systems with Machine Learning Techniques (Advanced Research in Reliability and System Assurance Engineering)
Machine Learning in Action
Machine Learning and Computational Intelligence Techniques for Data Engineering: Proceedings of the 4th International Conference MISP 2022, Volume 2 (Lecture Notes in Electrical Engineering Book 998)
Automated Machine Learning in Action
Machine Learning Engineering (MEAP)
Machine Learning and Optimization for Engineering Design (Engineering Optimization: Methods and Applications)
Machine Learning and Deep Learning in Computational Toxicology (Computational Methods in Engineering and the Sciences)
Simple Machine Learning for Programmers Beginner|s Intro to Using Machine Learning, Deep Learning, and Artificial Intelligence for Practical Applications
Machine Learning for Beginners A Complete and Phased Beginner’s Guide to Learning and Understanding Machine Learning and Artificial Intelligence Algoritms
Machine Learning Engineering (Final Version)
Machine Learning and Optimization for Engineering Design
Statistical Machine Learning for Engineering with Applications
Statistical Machine Learning for Engineering with Applications
Machine Learning and Optimization for Engineering Design
Feature Engineering for Machine Learning and Data Analytics
Intelligent Prognostics for Engineering Systems with Machine Learning Techniques
Data Science and Machine Learning Applications in Subsurface Engineering
Data Science and Machine Learning Applications in Subsurface Engineering
Data Science and Machine Learning Applications in Subsurface Engineering
Information-Driven Machine Learning Data Science as an Engineering Discipline
Feature Engineering for Machine Learning Principles and Techniques for Data Scientists
Information-Driven Machine Learning Data Science as an Engineering Discipline
Python Machine Learning The Ultimate Guide for Beginners to Machine Learning with Python, Programming and Deep Learning, Artificial Intelligence, Neural Networks, and Data Science
Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering
Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
Data-Driven Science and Engineering Machine Learning, Dynamical Systems, and Control
Debugging Machine Learning Models with Python: Develop high-performance, low-bias, and explainable machine learning and deep learning models
Essentials of Python for Artificial Intelligence and Machine Learning (Synthesis Lectures on Engineering, Science, and Technology)
Applied Machine Learning for Smart Data Analysis (Computational Intelligence in Engineering Problem Solving)
Feature Engineering for Modern Machine Learning with Scikit-Learn Advanced Data Science and Practical Applications
Building Machine Learning Systems Using Python Practice to Train Predictive Models and Analyze Machine Learning Results
Machine Learning for Beginners An Introductory Guide to Learn and Understand Artificial Intelligence, Neural Networks and Machine Learning
Machine Learning in Production: Master the art of delivering robust Machine Learning solutions with MLOps (English Edition)
Machine Learning for Business The Ultimate Artificial Intelligence & Machine Learning for Managers, Team Leaders and Entrepreneurs
Applied Machine Learning and High-Performance Computing on AWS: Accelerate the development of machine learning applications following architectural best practices
Serverless Machine Learning with Amazon Redshift ML: Create, train, and deploy machine learning models using familiar SQL commands
Machine Learning for Data Streams with Practical Examples in MOA (Adaptive Computation and Machine Learning series)