Hands On Unsupervised Learning Using Python Book [PDF] Download

Download the fantastic book titled Hands On Unsupervised Learning Using Python written by Ankur A. Patel, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Hands On Unsupervised Learning Using Python", which was released on 21 February 2019. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Hands On Unsupervised Learning Using Python by Ankur A. Patel PDF

Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence. Since the majority of the world's data is unlabeled, conventional supervised learning cannot be applied. Unsupervised learning, on the other hand, can be applied to unlabeled datasets to discover meaningful patterns buried deep in the data, patterns that may be near impossible for humans to uncover. Author Ankur Patel shows you how to apply unsupervised learning using two simple, production-ready Python frameworks: Scikit-learn and TensorFlow using Keras. With code and hands-on examples, data scientists 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 Set up and manage machine learning projects end-to-end Build an anomaly detection system to catch credit card fraud Clusters users into distinct and homogeneous groups Perform semisupervised learning Develop movie recommender systems using restricted Boltzmann machines Generate synthetic images using generative adversarial networks


Detail About Hands On Unsupervised Learning Using Python PDF

  • Author : Ankur A. Patel
  • Publisher : O'Reilly Media
  • Genre : Computers
  • Total Pages : 362 pages
  • ISBN : 1492035610
  • PDF File Size : 29,6 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Hands-On Unsupervised Learning Using Python

Hands-On Unsupervised Learning Using Python
  • Publisher : O'Reilly Media
  • File Size : 47,7 Mb
  • Release Date : 21 February 2019
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Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence. Since the majority of the world's data is

Hands-On Unsupervised Learning Using Python

Hands-On Unsupervised Learning Using Python
  • Publisher : "O'Reilly Media, Inc."
  • File Size : 47,7 Mb
  • Release Date : 21 February 2019
GET BOOK

Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence. Since the majority of the world's data is

Hands-On Unsupervised Learning with Python

Hands-On Unsupervised Learning with Python
  • Publisher : Packt Publishing Ltd
  • File Size : 33,8 Mb
  • Release Date : 28 February 2019
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Discover the skill-sets required to implement various approaches to Machine Learning with Python Key FeaturesExplore unsupervised learning with clustering, autoencoders, restricted Boltzmann machines, and moreBuild your own neural network models

Hands-on Supervised Learning with Python

Hands-on Supervised Learning with Python
  • Publisher : BPB Publications
  • File Size : 33,7 Mb
  • Release Date : 06 January 2021
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Hands-On ML problem solving and creating solutions using Python KEY FEATURES _Introduction to Python Programming _Python for Machine Learning _Introduction to Machine Learning _Introduction to Predictive Modelling, Supervised and Unsupervised

Hands-On Machine Learning for Algorithmic Trading

Hands-On Machine Learning for Algorithmic Trading
  • Publisher : Packt Publishing Ltd
  • File Size : 52,7 Mb
  • Release Date : 31 December 2018
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Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and Keras Key FeaturesImplement machine learning algorithms to build, train, and validate algorithmic modelsCreate your own algorithmic design

Supervised Machine Learning with Python

Supervised Machine Learning with Python
  • Publisher : Packt Publishing Ltd
  • File Size : 35,9 Mb
  • Release Date : 27 May 2019
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Teach your machine to think for itself! Key FeaturesDelve into supervised learning and grasp how a machine learns from dataImplement popular machine learning algorithms from scratch, developing a deep understanding

Hands-On Data Science and Python Machine Learning

Hands-On Data Science and Python Machine Learning
  • Publisher : Packt Publishing Ltd
  • File Size : 50,7 Mb
  • Release Date : 31 July 2017
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This book covers the fundamentals of machine learning with Python in a concise and dynamic manner. It covers data mining and large-scale machine learning using Apache Spark. About This Book

Hands-On Machine Learning with C++

Hands-On Machine Learning with C++
  • Publisher : Packt Publishing Ltd
  • File Size : 31,5 Mb
  • Release Date : 15 May 2020
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Implement supervised and unsupervised machine learning algorithms using C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and dlib with the help of real-world examples and datasets Key