Imagine a sound system that has a high quality speaker and mixer system. You must have seen a series of buttons on the console that independently control a specific parameter of sound quality. The bass, treble, and loudness are some of the controls that need to be properly set for a great experience. Similarly, a deep neural network is only as good as the setting of various controlling parameters. These parameters are called hyperparameters, and the process of controlling various parameters at a value that gets the best performance in terms of training/execution time as well as accuracy and generalization of the model. Similar to the sound equalizer example, multiple hyperparameters need to be tuned together for optimum performance. There are two strategies typically used when choosing a combination of hyperparameters:
Artificial Intelligence for Big Data
By :
Artificial Intelligence for Big Data
By:
Overview of this book
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.
Table of Contents (19 chapters)
Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
Free Chapter
Big Data and Artificial Intelligence Systems
Ontology for Big Data
Learning from Big Data
Neural Network for Big Data
Deep Big Data Analytics
Natural Language Processing
Fuzzy Systems
Genetic Programming
Swarm Intelligence
Reinforcement Learning
Cyber Security
Cognitive Computing
Other Books You May Enjoy
Index
Customer Reviews