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Artificial Intelligence for Big Data

More Information
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
About

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.

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
Page Count 384
Course Length 11 hours 31 minutes
ISBN9781788472173
Date Of Publication 21 May 2018

Authors

Manish Kumar

Manish Kumar is a Technical Architect at DataMetica Solution Pvt. Ltd.. He has approximately 11 years' experience in data management, working as a Data Architect and Product Architect. He has extensive experience in building effective ETL pipelines, implementing security over Hadoop, and providing the best possible solutions to data science problems. Before joining the world of big data, he worked as an Tech Lead for Sears Holding, India. He is a regular speaker on big data concepts such as Hadoop and Hadoop Security in various events. Manish has a Bachelor's degree in Information Technology and he is Co-Author of Building Data Streaming Application with Apache Kafka.

Anand Deshpande

Anand Deshpande is the Director of big data delivery at Datametica Solutions. He is responsible for partnering with clients on their data strategies and helps them become data-driven. He has extensive experience with big data ecosystem technologies. He has developed a special interest in data science, cognitive intelligence, and an algorithmic approach to data management and analytics. He is a regular speaker on data science and big data at various events.