This third edition of Building Machine Learning Systems with Python addresses recent developments in the field by covering the most-used datasets and libraries to help you build practical machine learning systems. (Limited-time offer)
Table of Contents
- Getting Started with Python Machine Learning
- Classifying with Real-World Examples
- Regression
- Classification I – Detecting Poor Answers
- Dimensionality Reduction
- Clustering – Finding Related Posts
- Recommendations
- Artificial Neural Networks and Deep Learning
- Classification II – Sentiment Analysis
- Topic Modeling
- Classification III – Music Genre Classification
- Computer Vision
- Reinforcement Learning
- Bigger Data
- Where to Learn More About Machine Learning
Download Free PDF / Read Online
Author(s): Luis Pedro Coelho, Willi Richert, Matthieu Brucher
Publisher: Packt Publishing
Published: July 2018
Format(s): Online
File size: –
Number of pages: 406
Download / View Link(s): This offer has ended.
Free as of 12/19/2022.
Publisher: Packt Publishing
Published: July 2018
Format(s): Online
File size: –
Number of pages: 406
Download / View Link(s): This offer has ended.
Free as of 12/19/2022.