Artificial Intelligence for Big Data

Complete guide to automating Big Data solutions using Artificial Intelligence techniques

Nonfiction, Computers, Advanced Computing, Engineering, Neural Networks, Artificial Intelligence, General Computing
Cover of the book Artificial Intelligence for Big Data by Anand Deshpande, Manish Kumar, Packt Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Anand Deshpande, Manish Kumar ISBN: 9781788476010
Publisher: Packt Publishing Publication: May 22, 2018
Imprint: Packt Publishing Language: English
Author: Anand Deshpande, Manish Kumar
ISBN: 9781788476010
Publisher: Packt Publishing
Publication: May 22, 2018
Imprint: Packt Publishing
Language: English

Build next-generation Artificial Intelligence systems with Java

Key Features

  • Implement AI techniques to build smart applications using Deeplearning4j
  • Perform big data analytics to derive quality insights using Spark MLlib
  • Create self-learning systems using neural networks, NLP, and reinforcement learning

Book Description

In this age of big data, companies have larger amount of consumer data than ever before, far more than what the current technologies can ever hope to keep up with. However, Artificial Intelligence closes the gap by moving past human limitations in order to analyze data.

With the help of Artificial Intelligence for big data, you will learn to use Machine Learning algorithms such as k-means, SVM, RBF, and regression to perform advanced data analysis. You will understand the current status of Machine and Deep Learning techniques to work on Genetic and Neuro-Fuzzy algorithms. In addition, you will explore how to develop Artificial Intelligence algorithms to learn from data, why they are necessary, and how they can help solve real-world problems.

By the end of this book, you'll have learned how to implement various Artificial Intelligence algorithms for your big data systems and integrate them into your product offerings such as reinforcement learning, natural language processing, image recognition, genetic algorithms, and fuzzy logic systems.

What you will learn

  • Manage Artificial Intelligence techniques for big data with Java
  • Build smart systems to analyze data for enhanced customer experience
  • Learn to use Artificial Intelligence frameworks for big data
  • Understand complex problems with algorithms and Neuro-Fuzzy systems
  • Design stratagems to leverage data using Machine Learning process
  • Apply Deep Learning techniques to prepare data for modeling
  • Construct models that learn from data using open source tools
  • Analyze big data problems using scalable Machine Learning algorithms

Who this book is for

This book is for you if you are a data scientist, big data professional, or novice who has basic knowledge of big data and wish to get proficiency in Artificial Intelligence techniques for big data. Some competence in mathematics is an added advantage in the field of elementary linear algebra and calculus.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Build next-generation Artificial Intelligence systems with Java

Key Features

Book Description

In this age of big data, companies have larger amount of consumer data than ever before, far more than what the current technologies can ever hope to keep up with. However, Artificial Intelligence closes the gap by moving past human limitations in order to analyze data.

With the help of Artificial Intelligence for big data, you will learn to use Machine Learning algorithms such as k-means, SVM, RBF, and regression to perform advanced data analysis. You will understand the current status of Machine and Deep Learning techniques to work on Genetic and Neuro-Fuzzy algorithms. In addition, you will explore how to develop Artificial Intelligence algorithms to learn from data, why they are necessary, and how they can help solve real-world problems.

By the end of this book, you'll have learned how to implement various Artificial Intelligence algorithms for your big data systems and integrate them into your product offerings such as reinforcement learning, natural language processing, image recognition, genetic algorithms, and fuzzy logic systems.

What you will learn

Who this book is for

This book is for you if you are a data scientist, big data professional, or novice who has basic knowledge of big data and wish to get proficiency in Artificial Intelligence techniques for big data. Some competence in mathematics is an added advantage in the field of elementary linear algebra and calculus.

More books from Packt Publishing

Cover of the book Apache Maven 3 Cookbook by Anand Deshpande, Manish Kumar
Cover of the book Effective Business Intelligence with QuickSight by Anand Deshpande, Manish Kumar
Cover of the book Unity 5.x Animation Cookbook by Anand Deshpande, Manish Kumar
Cover of the book Microsoft Dynamics CRM 2011: Dashboards Cookbook by Anand Deshpande, Manish Kumar
Cover of the book Python: Penetration Testing for Developers by Anand Deshpande, Manish Kumar
Cover of the book Implementing Cisco UCS Solutions - Second Edition by Anand Deshpande, Manish Kumar
Cover of the book Going IT Alone: The Handbook for Freelance and Contract Software Developers by Anand Deshpande, Manish Kumar
Cover of the book Mathematica Data Analysis by Anand Deshpande, Manish Kumar
Cover of the book Maximize Your Investment: 10 Key Strategies for Effective Packaged Software Implementations by Anand Deshpande, Manish Kumar
Cover of the book PHP 5 e-commerce Development by Anand Deshpande, Manish Kumar
Cover of the book Go Programming Blueprints by Anand Deshpande, Manish Kumar
Cover of the book ASP.NET Core: Cloud-ready, Enterprise Web Application Development by Anand Deshpande, Manish Kumar
Cover of the book Node Cookbook by Anand Deshpande, Manish Kumar
Cover of the book Microsoft DirectAccess Best Practices and Troubleshooting by Anand Deshpande, Manish Kumar
Cover of the book Instant OpenLayers Starter by Anand Deshpande, Manish Kumar
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy