[NulledPremium com] TensorFlow Powerful Predictive Analytics with TensorFlow

For More Ebooks Visit NulledPremium >>> NulledPremium.com



For More Premium Graphics,Accounts,Freebies Visit >>> Forum.NulledPremium.com







Book details

File Size: 2.95 MB

Format: pdf

Print Length: 166 pages

Page Numbers Source ISBN: 1789136911

Publisher: Packt Publishing; 1 edition (March 14, 2018)

Publication Date: March 14, 2018

Sold by: Amazon Digital Services LLC

Language: English

ASIN: B07BHRMS9S



Who This Book Is For

This book is aimed at 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.



Learn how to solve real life problems using different methods like logic regression, random forests and SVM’s with TensorFlow.



Key Features



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

What you will learn



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 linearregression 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

Book Description

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.



Table of Contents



From Data to Decisions – Getting Started with TensorFlow

Putting Data in Place – Supervised Learning for Predictive Analytics

Clustering Your Data – Unsupervised Learning for Predictive Analytics

Using Reinforcement Learning for Predictive Analytics