Description: Advanced Analytics and Deep Learning Models, Hardcover by Malik, Shaveta (EDT); Tyagi, Amit Kumar (EDT); Mire, Archana (EDT), ISBN 1119791758, ISBN-13 9781119791751, Brand New, Free shipping in the US Advanced Analytics and Deep Learning Models Th provides readers with an in-depth understanding of concepts and technologies related to the importance of analytics and deep learning in many useful real-world applications such as e-healthcare, transportation, agriculture, stock market, etc. Advanced analytics is a mixture of machine learning, artificial intelligence, graphs, text mining, data mining, semantic analysis. It is an approach to data analysis. Beyond the traditional business intelligence, it is a semi and autonomous analysis of data by using different techniques and tools. However, deep learning and data analysis both are high centers of data science. Almost all the private and public organizations collect heavy amounts of data, ., domain-specific data. Many small/large companies are exploring large amounts of data for existing and future technology. Deep learning is also exploring large amounts of unsupervised data making it beneficial and effective for big data. Deep learning can be used to deal with all kinds of problems and challenges that include collecting unlabeled and uncategorized raw data, extracting complex patterns from a large amount of data, retrieving fast information, tagging data, etc. This book contains 16 chapters on artificial intelligence, machine learning, deep learning, and their uses in many useful sectors like stock market prediction, a recommendation system for better service selection, e-healthcare, telemedicine, transportation. There are also chapters on innovations and future opportunities with fog computing/cloud computing and artificial intelligence. Audience Researchers in artificial intelligence, big data, computer science, and electronic engineering, as well as industry engineers in healthcare, telemedicine, transportation, and the financial sector. Th will also be a great source for software engineers and advanced students who are beginners in the field of advanced analytics in deep learning.
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Book Title: Advanced Analytics and Deep Learning Models
Number of Pages: 432 Pages
Publication Name: Advanced Analytics and Deep Learning Models
Language: English
Publisher: Wiley & Sons, Incorporated, John
Item Height: 0.4 in
Publication Year: 2022
Subject: Intelligence (Ai) & Semantics, General
Item Weight: 16 Oz
Type: Textbook
Author: Shaveta Malik
Subject Area: Computers, Science
Item Length: 0.4 in
Item Width: 0.4 in
Series: Next Generation Computing and Communication Engineering Ser.
Format: Hardcover
