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Large Scale Machine Learning with Python

You're reading from   Large Scale Machine Learning with Python Learn to build powerful machine learning models quickly and deploy large-scale predictive applications

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Product type Paperback
Published in Aug 2016
Publisher Packt
ISBN-13 9781785887215
Length 420 pages
Edition 1st Edition
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Authors (3):
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Alberto Boschetti Alberto Boschetti
Author Profile Icon Alberto Boschetti
Alberto Boschetti
Bastiaan Sjardin Bastiaan Sjardin
Author Profile Icon Bastiaan Sjardin
Bastiaan Sjardin
Luca Massaron Luca Massaron
Author Profile Icon Luca Massaron
Luca Massaron
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Toc

Table of Contents (12) Chapters Close

Preface 1. First Steps to Scalability FREE CHAPTER 2. Scalable Learning in Scikit-learn 3. Fast SVM Implementations 4. Neural Networks and Deep Learning 5. Deep Learning with TensorFlow 6. Classification and Regression Trees at Scale 7. Unsupervised Learning at Scale 8. Distributed Environments – Hadoop and Spark 9. Practical Machine Learning with Spark A. Introduction to GPUs and Theano Index

Index

A

  • accumulators write-only variables
    • sharing, across cluster nodes / Accumulators write-only variables
  • AdaBoost
    • about / CART and boosting
  • Adam
    • URL / Machine learning on TensorFlow with SkFlow
    • about / Machine learning on TensorFlow with SkFlow
  • adaptive gradient (ADAGRAD)
    • about / The neural network architecture
  • additive expansion
    • about / Gradient Boosting Machines
  • AlexNet example
    • URL / CNN's with an incremental approach
  • Anaconda
    • about / Scientific distributions
    • URL / Scientific distributions
    • URL, for packages / Scientific distributions
  • architecture, neural network
    • input layer / The input layer
    • hidden layer / The hidden layer
    • output layer / The output layer
  • area under the curve (AUC) / Describing the target
  • autoencoders
    • unsupervised learning / Autoencoders and unsupervised learning
    • about / Autoencoders
    • deep learning, with stacked denoising autoencoders / Autoencoders
  • Average Stochastic Descent...
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