Artificial Intelligence for Data Science in Theory and Practice

Artificial Intelligence for Data Science in Theory and Practice
Author :
Publisher : Springer Nature
Total Pages : 258
Release :
ISBN-13 : 9783030922450
ISBN-10 : 3030922456
Rating : 4/5 (56 Downloads)

Book Synopsis Artificial Intelligence for Data Science in Theory and Practice by : Mohamed Alloghani

Download or read book Artificial Intelligence for Data Science in Theory and Practice written by Mohamed Alloghani and published by Springer Nature. This book was released on 2022-04-05 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides valuable information on effective, state-of-the-art techniques and approaches for governments, students, researchers, practitioners, entrepreneurs and teachers in the field of artificial intelligence (AI). The book explains the data and AI, types and properties of data, the relation between AI algorithms and data, what makes data AI ready, steps of data pre-processing, data quality, data storage and data platforms. Therefore, this book will be interested by AI practitioners, academics, researchers, and lecturers in computer science, artificial intelligence, machine learning and data sciences.


Artificial Intelligence for Data Science in Theory and Practice Related Books

Machine Learning in Finance
Language: en
Pages: 565
Authors: Matthew F. Dixon
Categories: Business & Economics
Type: BOOK - Published: 2020-07-01 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book introduces machine learning methods in finance. It presents a unified treatment of machine learning and various statistical and computational discipli
Artificial Intelligence
Language: en
Pages: 604
Authors: Thomas L. Dean
Categories: Computers
Type: BOOK - Published: 1995 - Publisher: Addison-Wesley Professional

DOWNLOAD EBOOK

This book provides a detailed understanding of the broad issues in artificial intelligence and a survey of current AI technology. The author delivers broad cove
Understanding Machine Learning
Language: en
Pages: 415
Authors: Shai Shalev-Shwartz
Categories: Computers
Type: BOOK - Published: 2014-05-19 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying thei
Encyclopedia of Data Science and Machine Learning
Language: en
Pages: 3296
Authors: Wang, John
Categories: Computers
Type: BOOK - Published: 2023-01-20 - Publisher: IGI Global

DOWNLOAD EBOOK

Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big d
Artificial Intelligence in Medical Imaging
Language: en
Pages: 165
Authors: Lia Morra
Categories: Science
Type: BOOK - Published: 2019-11-25 - Publisher: CRC Press

DOWNLOAD EBOOK

Choice Recommended Title, January 2021 This book, written by authors with more than a decade of experience in the design and development of artificial intellige