Artificial Intelligence for Big Data

by: Anand Deshpande;Manish Kumar (Author)

Publisher: Packt Publishing – ebooks Account

Publication Date: 2018/7/10

Language: English

Print Length: 428 pages

ISBN-10: 1788472179

ISBN-13: 9781788472173

Book Description

Key FeaturesImplement Artificial Intelligence techniques to build smart applications using Deepleaing4j a Java deep leaing libraryCreate smart self leaing and decision making systemsDevelop smarter Big data applications to get better insights from your analysisBook DescriptionIn the age of big data, companies have growing amount of consumer data than ever before – far more than human and their current technologies can ever hope to keep up with. Artificial Intelligence closes the gap by moving far past human limitations to consume and analyze data.This book will help you create smart systems to extract intelligent insights for decision making. We will lea about widely used Artificial Intelligence techniques for carrying out solutions in a production ready environment. Explore advanced topics like neural network, clustering, symbolic and sub-symbolic information representation and many more.Later we will use machine leaing algorithms such as K-means, SVM, RBF, regression to perform advance data analysis. We will take you through an understanding of the current status of Machine and Deep Leaing techniques to Genetic and Neuro-Fuzzy algorithms. This book aims to address how to develop Artificial Intelligence algorithms to lea from data, why they are necessary, and how they can help to solve real world problems.By the end of this book, you’ll lea how to implement various Artificial Intelligence algorithms for your big data systems and integrate into your product offerings such as search, image recognition and language processing, Genetic Algorithms, and Fuzzy Logic systemsWhat you will leaManage Artificial Intelligence techniques for Big Data with Java.Build smart systems that can analyze vast and growing data to apply the results for enhanced customer experiencesLea to use Artificial Intelligence Frameworks for Big Data.Understand and manage complex problems with Genetic Algorithms and Neuro-Fuzzy SystemsDesign an approach to leverage data using the steps in the machine leaing process.Apply deep leaing techniques to explore and prepare data for modeling.Construct models that lea from data using widely available open source toolsAnalyze big data problems using scalable machine leaing algorithms on Spark.

About the Author

Key FeaturesImplement Artificial Intelligence techniques to build smart applications using Deepleaing4j a Java deep leaing libraryCreate smart self leaing and decision making systemsDevelop smarter Big data applications to get better insights from your analysisBook DescriptionIn the age of big data, companies have growing amount of consumer data than ever before – far more than human and their current technologies can ever hope to keep up with. Artificial Intelligence closes the gap by moving far past human limitations to consume and analyze data.This book will help you create smart systems to extract intelligent insights for decision making. We will lea about widely used Artificial Intelligence techniques for carrying out solutions in a production ready environment. Explore advanced topics like neural network, clustering, symbolic and sub-symbolic information representation and many more.Later we will use machine leaing algorithms such as K-means, SVM, RBF, regression to perform advance data analysis. We will take you through an understanding of the current status of Machine and Deep Leaing techniques to Genetic and Neuro-Fuzzy algorithms. This book aims to address how to develop Artificial Intelligence algorithms to lea from data, why they are necessary, and how they can help to solve real world problems.By the end of this book, you’ll lea how to implement various Artificial Intelligence algorithms for your big data systems and integrate into your product offerings such as search, image recognition and language processing, Genetic Algorithms, and Fuzzy Logic systemsWhat you will leaManage Artificial Intelligence techniques for Big Data with Java.Build smart systems that can analyze vast and growing data to apply the results for enhanced customer experiencesLea to use Artificial Intelligence Frameworks for Big Data.Understand and manage complex problems with Genetic Algorithms and Neuro-Fuzzy SystemsDesign an approach to leverage data using the steps in the machine leaing process.Apply deep leaing techniques to explore and prepare data for modeling.Construct models that lea from data using widely available open source toolsAnalyze big data problems using scalable machine leaing algorithms on Spark.