Name: Large Scale Machine Learning with Python
Author: Bastiaan Sjardin Luca Massaron Alberto Boschetti
ISBN: 9781785888021

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Large Scale Machine Learning with Python

Bastiaan Sjardin Luca Massaron Alberto Boschetti

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Credits
About the Authors
About the Reviewer
www.PacktPub.com
eBooks, discount offers, and more
Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Chapter 1. First Steps to Scalability
Explaining scalability in detail
Python for large scale machine learning
Python packages
Summary
Chapter 2. Scalable Learning in Scikit-learn
Out-of-core learning
Streaming data from sources
Stochastic learning
Feature management with data streams
Summary
Chapter 3. Fast SVM Implementations
Datasets to experiment with on your own
Support Vector Machines
Feature selection by regularization
Including non-linearity in SGD
Hyperparameter tuning
Summary
Chapter 4. Neural Networks and Deep Learning
The neural network architecture
Neural networks and regularization
Neural networks and hyperparameter optimization
Neural networks and decision boundaries
Deep learning at scale with H2O
Deep learning and unsupervised pretraining
Deep learning with theanets
Autoencoders and unsupervised learning
Summary
Chapter 5. Deep Learning with TensorFlow
TensorFlow installation
Machine learning on TensorFlow with SkFlow
Keras and TensorFlow installation
Convolutional Neural Networks in TensorFlow through Keras
CNN s with an incremental approach
GPU Computing
Summary
Chapter 6. Classification and Regression Trees at Scale
Bootstrap aggregation
Random forest and extremely randomized forest
Fast parameter optimization with randomized search
CART and boosting
XGBoost
Out-of-core CART with H2O
Summary
Chapter 7. Unsupervised Learning at Scale
Unsupervised methods
Feature decomposition – PCA
PCA with H2O
Clustering – K-means
K-means with H2O
LDA
Summary
Chapter 8. Distributed Environments – Hadoop and Spark
From a standalone machine to a bunch of nodes
Setting up the VM
The Hadoop ecosystem
Spark
Summary
Chapter 9. Practical Machine Learning with Spark
Setting up the VM for this chapter
Sharing variables across cluster nodes
Data preprocessing in Spark
Machine learning with Spark
Summary
Appendix A. Introduction to GPUs and Theano
GPU computing
Theano – parallel computing on the GPU
Installing Theano
Index

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Large Scale Machine Learning with Python