Artificial Intelligence for Big Data

Artificial Intelligence for Big Data PDF Free Download

Book Details

In the age of Big Data, businesses have more consumer data than ever before, more than current technologies can hope to keep up with. However, artificial intelligence bridges the gap by surpassing human limitations for data analysis.
Using this book, you will learn how to use machine learning algorithms such as k-means, SVM, RBF, and regression to perform advanced data analysis. You will understand the current state of machines and deep learning techniques for working on neural fuzzy and genetic algorithms. Additionally, you’ll discover how to develop artificial intelligence algorithms to learn from data, why they’re needed, and how they can help solve real-world problems.
Build next-generation artificial intelligence systems with Java

Key Features

  • Deploying AI techniques to build intelligent applications using Deeplearning4j
  • Perform big data analytics to get quality insights using Spark MLlib
  • Creating a self-learning system using neural networks, NLP and reinforcement learning
This book is intended for data scientists, big data professionals, or those who are new to the basics of big data and want to master artificial intelligence techniques for big data. Some fluency in math is an added advantage in the fields of elementary linear algebra and differential calculus.

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

Artificial Intelligence for Big Data is for data scientists, big data professionals, or novices who have 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.

Table of Contents

  1. Big Data and Artificial Intelligence systems
  2. Ontology for Big Data
  3. Learning from Big Data
  4. Neural Network for Big Data
  5. Deep Big Data Analytics
  6. Natural Language Processing
  7. Fuzzy Systems
  8. Genetic Programming
  9. Swarm Intelligence
  10. Reinforcement Learning
  11. Cyber Security
  12. Cognitive Computing

 

Artificial Intelligence for Big Data: Complete guide to automating Big Data solutions using Artificial Intelligence techniques

Author(s): Anand Deshpande, Manish Kumar

Publisher: Packt, Year: 2018

ISBN: 978-1788472173

 


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