BOOKS - PROGRAMMING - Supervised Machine Learning Optimization Framework and Applicat...
Supervised Machine Learning Optimization Framework and Applications with SAS and R - Tanya Kolosova, Samuel Berestizhevsky 2021 PDF | EPUB Chapman and Hall/CRC BOOKS PROGRAMMING
ECO~12 kg CO²

1 TON

Views
12399

Telegram
 
Supervised Machine Learning Optimization Framework and Applications with SAS and R
Author: Tanya Kolosova, Samuel Berestizhevsky
Year: 2021
Pages: 176
Format: PDF | EPUB
File size: 10 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Machine Learning with Python
Machine Learning For Physicists
Fundamentals of Machine Learning
Machine Learning Using Python
Machine Learning Via Rust Machine Learning Using Rust
Machine Learning for Engineers
Machine Learning for Industrial
Machine Learning and Biometrics
Python Machine Learning
Machine Learning in Python for Everyone
Machine Learning in Python
Machine Learning and Biometrics
Machine Learning with oneAPI
Machine Learning Methods
Julia for Machine Learning
Machine Learning for Designers
Grokking Machine Learning
Machine Learning, Animated
Machine Learning and Biometrics
Python Machine Learning By Example
Deep Discourse: A Framework for Cultivating Student-Led Discussions -Use Conversation to Raise Student Learning, Motivation, and Engagement in K-12 Classrooms
Optimization and Computing using Intelligent Data-Driven Approaches for Decision-Making Optimization Applications
STOCHASTIC SIMULATION OPTIMIZATION FOR DISCRETE EVENT SYSTEMS: PERTURBATION ANALYSIS, ORDINAL OPTIMIZATION AND BEYOND
Optimization and Computing using Intelligent Data-Driven Approaches for Decision-Making Optimization Applications
Machine Learning with R, 4th Edition
Applied Machine Learning Using mlr3 in R
Advances in Financial Machine Learning
Machine Learning for iOS Developers
Machine Learning for Industrial Applications
Mitigating Bias in Machine Learning
Machine Learning Algorithms Simplified
Machine Learning and Data Mining
Zero to Hero in Machine Learning Part 1
Graph-Powered Machine Learning
Machine Learning Crash Course for Engineers
Machine Learning for Speaker Recognition
Machine Learning for Causal Inference
Machine Learning and Metaheuristic Computation
Art in the Age of Machine Learning