Artificial Intelligence for Big Data (Anand Deshpande, et al)

 
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Artificial Intelligence for Big Data (Anand Deshpande, et al)

Companies now have more customer data than ever before in the era of big data, far more than what the available technologies could possibly hope to handle.

Artificial intelligence, on the other hand, bridges the gap by analyzing data without the constraints imposed by humans.

This book will teach you how to perform sophisticated data analysis using machine learning methods including regression, k-means, SVM, and RBF. You will comprehend how machine learning and deep learning methods are now being used to work on genetic and neuro-fuzzy algorithms. You will also learn how to create artificial intelligence learning algorithms, why they are important, and how they might aid in problem-solving in the real world.

  • 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

For data scientists, big data experts, or beginners with a rudimentary understanding of big data who want to become proficient in artificial intelligence approaches for big data, this book is for you. In the areas of basic calculus and linear algebra, some mathematical proficiency is a bonus.

Ebook Details

About the Authors
  • The Director of Big Data Delivery at Datametica Solutions Pvt. Ltd. is Anand Deshpande. His current responsibilities include working with companies to develop their data strategies and assist them in becoming data-driven.
  • Senior Technical Architect Manish Kumar works for Datametica Solution Pvt. Ltd. He has more than 11 years of industry experience in Data Management, working as a Data, Solutions, and Product Architect.
Published
Published Date / Year
(May 22, 2018); eBook (Free Edition)
Permission
Free eBook by the Publisher (Packt)
Hardcover
482 pages
eBook Format
HTML
Language
English
ISBN-10
1788628845/B07DGKXDLK
ISBN-13
978-1788628846

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