Book Image

TensorFlow: Powerful Predictive Analytics with TensorFlow

By : Karim
Book Image

TensorFlow: Powerful Predictive Analytics with TensorFlow

By: Karim

Overview of this book

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. This book is repurposed for this specific learning experience from material from Packt's Predictive Analytics with TensorFlow by Md. Rezaul Karim.
Table of Contents (6 chapters)

Linear Regression – Revisited


In Lesson 1, From Data to Decisions – Getting Started with TensorFlow we have seen an example of linear regression. We have observed how to work TensorFlow on the randomly generated dataset, that is, fake data. We have seen that the regression is a type of supervised machine learning for predicting the continuous-valued output. However, running a linear regression on fake data is just like buying a new car and never driving it. This awesome machinery begs to manifest itself in the real world!

Fortunately, many datasets are available online to test your new-found knowledge of regression:

Therefore...