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TensorFlow: Powerful Predictive Analytics with TensorFlow

You're reading from TensorFlow: Powerful Predictive Analytics with TensorFlow Predict valuable insights of your data with TensorFlow

Product type Paperback

Published in Mar 2018

Publisher Packt

ISBN-13 9781789136913

Length 164 pages

Edition 1st Edition

Languages

Python

Tools

TensorFlow

Concepts

Predictive Analytics

Author (1):

Md. Rezaul Karim

View More author details

Table of Contents (6) Chapters

Preface

1. From Data to Decisions – Getting Started with TensorFlow

2. Putting Data in Place – Supervised Learning for Predictive Analytics FREE CHAPTER

3. Clustering Your Data – Unsupervised Learning for Predictive Analytics

4. Using Reinforcement Learning for Predictive Analytics

A. Assessment Answers

What Will I Get From This Book?

Learn TensorFlow features in a real-life problem, followed by detailed TensorFlow installation and configuration
Explore computation graphs, data, and programming models also get an insight to an example of implementing linear regression model for predictive analytics
Solve the Titanic survival problem using logistic regression, random forests, and SVMs for predictive analytics
Dig deeper into predictive analytics and find out how to take advantage of it to cluster records belonging to the certain group or class for a dataset of unsupervised observations
Learn several examples of how to apply reinforcement learning algorithms for developing predictive models on real-life datasets

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Authors (1)

Karim

Karim

Md. Rezaul Karim is a researcher, author, and data science enthusiast with a strong computer science background, coupled with 10 years of research and development experience in machine learning, deep learning, and data mining algorithms to solve emerging bioinformatics research problems by making them explainable. He is passionate about applied machine learning, knowledge graphs, and explainable artificial intelligence (XAI). Currently, he is working as a research scientist at Fraunhofer FIT, Germany. He is also a PhD candidate at RWTH Aachen University, Germany. Before joining FIT, he worked as a researcher at the Insight Centre for Data Analytics, Ireland. Previously, he worked as a lead software engineer at Samsung Electronics, Korea.

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