The Machine Learning Simplified: A Gentle Introduction to Supervised Learning
The Machine Learning Simplified: A Gentle Introduction to Supervised Learning Kindle Edition by Andrew Wolf(Author) ASIN...
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Feature Selection in Machine Learning with Python
Feature Selection in Machine Learning with Python Over 20 methods to select the most predictive features and build simpl...
Tree-Based Machine Learning Methods in SAS Viya
Tree-Based Machine Learning Methods in SAS Viya Author: Sharad Saxena Publisher finelybook 出版社: SAS Institute (February ...
Hiring Data Scientists and Machine Learning Engineers: A practical guide
Hiring Data Scientists and Machine Learning Engineers: A practical guide by Roy Keyes Publisher finelybook 出版社: BookPatc...
JavaScript: The Comprehensive Guide to Learning Professional JavaScript Programming
JavaScript: The Comprehensive Guide to Learning Professional JavaScript Programming (The Rheinwerk Computing) Author: Ph...
Effective Data Management – Practical Data needs of Machine Learning: Distributed Data Management
Effective Data Management – Practical Data needs of Machine Learning: Distributed Data Management Hyper Cycle of Data Ma...
Learning Using Python: How to Build Applied Machine Learning Solutions
Learning Using Python: How to Build Applied Machine Learning Solutions Author: Reed Cartwright ASIN: B09W79N1N8 Publishe...
Introduction to Machine Learning with Python: A Guide for Data Scientists
Introduction to Machine Learning with Python: A Guide for Data Scientists by: Andreas C. Müller – Sarah Guido ISBN...
Deep Learning with TensorFlow and Keras: Build and deploy supervised, unsupervised, deep, and reinforcement learning models, 3rd Edition
Deep Learning with TensorFlow and Keras: Build and deploy supervised, unsupervised, deep, and reinforcement learning mod...
Python for Finance and Algorithmic trading (2nd edition): Machine Learning, Deep Learning, Time series Analysis, Risk and Portfolio Management for MetaTrader™5 Live Trading
Python for Finance and Algorithmic trading (2nd edition): Machine Learning, Deep Learning, Time series Analysis, Risk an...