BOOKS - PROGRAMMING - Machine Learning Systems Designs that scale
Machine Learning Systems Designs that scale - Jeff Smith 2018 PDF Manning Publications BOOKS PROGRAMMING
ECO~14 kg CO²

1 TON

Views
11141

Telegram
 
Machine Learning Systems Designs that scale
Author: Jeff Smith
Year: 2018
Pages: 224
Format: PDF
File size: 10 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Mathematics and Programming for Machine Learning with R From the Ground Up
Machine Learning for Future Wireless Communications
Machine Learning for Factor Investing: R Version
Soft Computing and Machine Learning with Python
Methodologies, Frameworks, and Applications of Machine Learning
Applications of Machine Learning in Wireless Communications
Machine Learning and IoT A Biological Perspective
Regression and Machine Learning for Education Sciences Using R
Understanding Machine Learning From Theory to Algorithms
Practical Machine Learning in R 1st Edition
Machine Learning under Resource Constraints : Volume 2
Introduction to Machine Learning, 3rd Edition
Machine Learning and Python for Human Behavior
Just Enough R! An Interactive Approach to Machine Learning and Analytics
Methodologies, Frameworks, and Applications of Machine Learning
Probabilistic Numerics: Computation as Machine Learning
Machine Learning Fundamentals A Concise Introduction
Building Business Models with Machine Learning
Machine Learning and Optimization for Engineering Design
Mathematical Analysis of Machine Learning Algorithms
Machine Learning Techniques and Industry Applications
Machine Learning Algorithms Using Python Programming
Explainable Machine Learning Models and Architectures
Machine Learning An Applied Mathematics Introduction
Machine and Deep Learning Algorithms and Applications
Machine Learning for High-Risk Applications
Probability and Statistics for Machine Learning A Textbook
Practical Machine Learning Illustrated with KNIME
Tkinter, Data Science, And Machine Learning
Encyclopedia of Data Science and Machine Learning
Statistical Machine Learning for Engineering with Applications
Machine Learning for Transportation Research and Applications
Machine Learning by Tutorials (2nd Edition)
Machine Learning for Big Data Analysis
Informatics and Machine Learning From Martingales to Metaheuristics
Distributed Machine Learning Patterns (MEAP v7)
Machine Learning for Real World Applications
Machine Learning A Bayesian and Optimization Perspective
Probability and Statistics for Machine Learning A Textbook
Dirty Data Processing for Machine Learning