Advanced Analytics and Deep Learning Models

Advanced Analytics and Deep Learning Models
Author :
Publisher : John Wiley & Sons
Total Pages : 436
Release :
ISBN-10 : 9781119791751
ISBN-13 : 1119791758
Rating : 4/5 (758 Downloads)

Book Synopsis Advanced Analytics and Deep Learning Models by : Archana Mire

Download or read book Advanced Analytics and Deep Learning Models written by Archana Mire and published by John Wiley & Sons. This book was released on 2022-06-01 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Analytics and Deep Learning Models The book 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, i.e., 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. The book will also be a great source for software engineers and advanced students who are beginners in the field of advanced analytics in deep learning.


Advanced Analytics and Deep Learning Models Related Books

Advanced Analytics and Deep Learning Models
Language: en
Pages: 436
Authors: Archana Mire
Categories: Computers
Type: BOOK - Published: 2022-06-01 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Advanced Analytics and Deep Learning Models The book provides readers with an in-depth understanding of concepts and technologies related to the importance of a
Advanced Deep Learning Applications in Big Data Analytics
Language: en
Pages: 351
Authors: Bouarara, Hadj Ahmed
Categories: Computers
Type: BOOK - Published: 2020-10-16 - Publisher: IGI Global

DOWNLOAD EBOOK

Interest in big data has swelled within the scholarly community as has increased attention to the internet of things (IoT). Algorithms are constructed in order
Fundamentals of Machine Learning for Predictive Data Analytics, second edition
Language: en
Pages: 853
Authors: John D. Kelleher
Categories: Computers
Type: BOOK - Published: 2020-10-20 - Publisher: MIT Press

DOWNLOAD EBOOK

The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice. Machine
Deep Learning in Data Analytics
Language: en
Pages: 271
Authors: Debi Prasanna Acharjya
Categories: Technology & Engineering
Type: BOOK - Published: 2021-08-11 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book comprises theoretical foundations to deep learning, machine learning and computing system, deep learning algorithms, and various deep learning applica
Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics
Language: en
Pages: 217
Authors: R. Sujatha
Categories: Computers
Type: BOOK - Published: 2021-09-22 - Publisher: CRC Press

DOWNLOAD EBOOK

Data science revolves around two giants: Big Data analytics and Deep Learning. It is becoming challenging to handle and retrieve useful information due to how f