TensorFlow: Powerful Predictive Analytics with TensorFlow

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  • 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 into 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

Predictive analytics discovers hidden patterns from structured and unstructured data for automated decision making in business intelligence. Predictive decisions are becoming a huge trend worldwide, catering to wide industry sectors by predicting which decisions are more likely to give maximum results. TensorFlow, Google’s brainchild, is immensely popular and extensively used for predictive analysis.

This book is a quick learning guide on all the three types of machine learning, that is, supervised, unsupervised, and reinforcement learning with TensorFlow. This book will teach you predictive analytics for high-dimensional and sequence data. In particular, you will learn the linear regression model for regression analysis. You will also learn how to use regression for predicting continuous values. You will learn supervised learning algorithms for predictive analytics. You will explore unsupervised learning and clustering using K-meansYou will then learn how to predict neighborhoods using K-means, and then, see another example of clustering audio clips based on their audio features.

This book is ideal for developers, data analysts, machine learning practitioners, and deep learning enthusiasts who want to build powerful, robust, and accurate predictive models with the power of TensorFlow.

This book is embedded with useful assessments that will help you revise the concepts you have learned in this book.

  • Understand predictive analytics along with its challenges and best practices
  • Embedded with assessments that will help you revise the concepts you have learned in this book
Page Count 164
Course Length 4 hours 55 minutes
ISBN 9781789136913
Date Of Publication 14 Mar 2018


Md. Rezaul 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.