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Mastering Predictive Analytics with scikit-learn and TensorFlow

You're reading from Mastering Predictive Analytics with scikit-learn and TensorFlow Implement machine learning techniques to build advanced predictive models using Python

Product type Paperback

Published in Sep 2018

Publisher Packt

ISBN-13 9781789617740

Length 154 pages

Edition 1st Edition

Languages

Python

Tools

Scikit-learn

Concepts

Machine Learning

Author (1):

Alvaro Fuentes

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Table of Contents (7) Chapters

Preface

1. Ensemble Methods for Regression and Classification FREE CHAPTER

2. Cross-validation and Parameter Tuning

3. Working with Features

4. Introduction to Artificial Neural Networks and TensorFlow

5. Predictive Analytics with TensorFlow and Deep Neural Networks

6. Other Books You May Enjoy

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Introduction to TensorFlow

TensorFlow is an open source software library for numerical computation using data flow graphs. The concept of a computational graph is very important in TensorFlow and was specially designed for creating deep learning models. This library allows developers to deploy computations to one or more CPUs or GPUs in a desktop, a server, or even in mobile devices. This library was originally developed by researchers and engineers working at Google. It was open sourced in 2015 and, since then, it has become one of the major libraries in the machine learning world.

TensorFlow provides multiple APIs, and they can be categorized into the following two broad types:

Low level: Also known as TensorFlow Core, this is the lowest-level API. This API gives us complete programming control and is aimed at researchers and users who need a high degree of flexibility when...

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Authors (1)

Alvaro Fuentes

Alvaro Fuentes

Alvaro Fuentes is a senior data scientist with a background in applied mathematics and economics. He has more than 14 years of experience in various analytical roles and is an analytics consultant at one of the ‘Big Three' global management consulting firms, leading advanced analytics projects in different industries like banking, technology, and consumer goods. Alvaro is also an author and trainer in analytics and data science and has published courses and books, such as 'Become a Python Data Analyst' and 'Hands-On Predictive Analytics with Python'. He has also taught data science and related topics to thousands of students both on-site and online through different platforms such as Springboard, Simplilearn, Udemy, and BSG Institute, among others.

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