Hands-On Unsupervised Learning Using Python by Ankur A. Patel PDF Download

Download Hands-On Unsupervised Learning Using Python by Ankur A. Patel PDF eBook free. The “Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data 1st Edition” is a practical book for people that want to explore the world of unsupervised learning.

Hands-On Unsupervised Learning Using Python by Ankur A. Patel PDF Book Review

The “Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data 1st Edition” Excellent analogies and explanations make this a very enjoyable read. Ankur A. Patelis author of this book. Author Ankur Patel provides practical knowledge on how to apply unsupervised learning using two simple, production-ready Python frameworks – scikit-learn and TensorFlow using Keras. With the hands-on examples and code provided, you will identify difficult-to-find patterns in data and gain deeper business insight, detect anomalies, perform automatic feature engineering and selection, and generate synthetic datasets. All you need is programming and some machine learning experience to get started. Compare the strengths and weaknesses of the different machine learning approaches: supervised, unsupervised, and reinforcement learning.

Hands-On Unsupervised Learning Using Python by Ankur A. Patel

Set up and manage a machine learning project end-to-end – everything from data acquisition to building a model and implementing a solution in production. The Use dimensionality reduction algorithms to uncover the most relevant information in data and build an anomaly detection system to catch credit card fraud. Apply clustering algorithms to segment users – such as loan borrowers – into distinct and homogeneous groups. The Use autoencoders to perform automatic feature engineering and selection, Combine supervised and unsupervised learning algorithms to develop semi-supervised solutions, Build movie recommender systems using restricted Boltzmann machines, Generate synthetic images using deep belief networks and generative adversarial networks, Perform clustering on time series data such as electrocardiograms, Explore the successes of unsupervised learning to date and its promising future.

Detail about Hands-On Unsupervised Learning Using Python by Ankur A. Patel PDF

  • Name: Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data 1st Edition
  • Author: Ankur A. Patelis
  • ISBN: 1492035645
  • Language: English
  • Genre: Machine Learning, Programming
  • Format: Software Development
  • Size: 5.6 MB
  • Page: 362
  • Price: Free

Download Hands-On Unsupervised Learning Using Python by Ankur A. Patel PDF Free

Click on the button given below to download Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data 1st Edition PDF. You can also Download Python Machine Learning Blueprints by Alexander Combs

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