BOOKS - PROGRAMMING - Statistics, Data Mining and Machine Learning in Astronomy A Pra...
Statistics, Data Mining and Machine Learning in Astronomy A Practical Python Guide for the Analysis of Survey Data, Updated Ed - Zeljko Ivezi?, Andrew J. Connolly, Jacob T. VanderPlas, Alexander Gray 2020 PDF Princeton University Press BOOKS PROGRAMMING
ECO~19 kg CO²

2 TON

Views
78315

Telegram
 
Statistics, Data Mining and Machine Learning in Astronomy A Practical Python Guide for the Analysis of Survey Data, Updated Ed
Author: Zeljko Ivezi?, Andrew J. Connolly, Jacob T. VanderPlas, Alexander Gray
Year: 2020
Pages: 560
Format: PDF
File size: 39,5 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Practical Machine Learning in R
Machine Learning and Biometrics
Machine Learning in Action
Mathematics for Machine Learning
Machine Learning with Python
Reliable Machine Learning
Machine Learning in a nutshell
Mathematics of Machine Learning
Grokking Machine Learning
Machine Learning Via Rust Machine Learning Using Rust
Python Machine Learning By Example
Machine Learning in Python for Everyone
Machine Learning With Python
Machine Learning and Biometrics
A First Course in Machine Learning, Second Edition
Machine Learning for Text
Algorithms and Data Structures with Python An interactive learning experience Comprehensive introduction to data structures and algorithms
Algorithms and Data Structures with Python An interactive learning experience Comprehensive introduction to data structures and algorithms
Python Data Science: Deep Learning Guide for Beginners with Data Science. Python Programming and Crush Course.
Building Winning Algorithmic Trading Systems: A Trader|s Journey From Data Mining to Monte Carlo Simulation to Live Trading (Wiley Trading)
Statistics for the Rest of Us: Mastering the Art of Understanding Data Without Math Skills (Advanced Thinking Skills Book 5)
Machine Learners Archaeology of a Data Practice
Machine Learning Theory to Applications
Dynamic Fuzzy Machine Learning
Automated Machine Learning in Action
Machine Learning Crash Course for Engineers
Machine Learning for Speaker Recognition
Unsupervised Machine Learning with Python
Machine Learning for Causal Inference
Machine Learning for Industrial Applications
Machine Learning with R, 4th Edition
Handbook of Evolutionary Machine Learning
A Concise Introduction to Machine Learning
Practical Machine Learning with H2O
Machine Learning for iOS Developers
Machine Learning Algorithms in Depth
Graph-Powered Machine Learning
Machine Learning for Industrial Applications
Recent Advances in Machine Learning