Artificial Intelligence for Big Data

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 this book, 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.

Implement AI techniques to build smart applications using Deeplearning4jPerform big data analytics to derive quality insights using Spark MLlibCreate self-learning systems using neural networks, NLP, and reinforcement learning

This book 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.