Mathematical Principles in Machine Learning

Mathematical Principles in Machine Learning
Author :
Publisher : MileStone Research Publications
Total Pages : 321
Release :
ISBN-10 : 9789357774543
ISBN-13 : 9357774548
Rating : 4/5 (548 Downloads)

Book Synopsis Mathematical Principles in Machine Learning by : Syed Thouheed Ahmed

Download or read book Mathematical Principles in Machine Learning written by Syed Thouheed Ahmed and published by MileStone Research Publications. This book was released on 2023-02-08 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning, artificial intelligence (AI), and cognitive computing are dominating conversations about how emerging advanced analytics can provide businesses with a competitive advantage to the business. There is no debate that existing business leaders are facing new and unanticipated competitors. These businesses are looking at new strategies that can prepare them for the future. While a business can try different strategies, they all come back to a fundamental truth. If you’re curious about machine learning, this book is a wonderful way to immerse yourself in key concepts, terminology, and trends. We’ve curated a list of machine learning topics for beginners, from general overviews to those with focus areas, such as statistics, deep learning, and predictive analytics. With this book on your reading list, you’ll be able to: · Determine whether a career in machine learning is right for you · Learn what skills you’ll need as a machine learning engineer or data scientist · Knowledge that can help you find and prepare for job interviews · Stay on top of the latest trends in machine learning and artificial intelligence


Mathematical Principles in Machine Learning Related Books

Mathematical Principles in Machine Learning
Language: en
Pages: 321
Authors: Syed Thouheed Ahmed
Categories: Computers
Type: BOOK - Published: 2023-02-08 - Publisher: MileStone Research Publications

DOWNLOAD EBOOK

Machine learning, artificial intelligence (AI), and cognitive computing are dominating conversations about how emerging advanced analytics can provide businesse
Mathematics for Machine Learning
Language: en
Pages: 392
Authors: Marc Peter Deisenroth
Categories: Computers
Type: BOOK - Published: 2020-04-23 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, opti
Math and Architectures of Deep Learning
Language: en
Pages: 550
Authors: Krishnendu Chaudhury
Categories: Computers
Type: BOOK - Published: 2024-05-21 - Publisher: Simon and Schuster

DOWNLOAD EBOOK

Shine a spotlight into the deep learning “black box”. This comprehensive and detailed guide reveals the mathematical and architectural concepts behind deep
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
Practical Discrete Mathematics
Language: en
Pages: 330
Authors: Ryan T. White
Categories: Mathematics
Type: BOOK - Published: 2021-02-22 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

A practical guide simplifying discrete math for curious minds and demonstrating its application in solving problems related to software development, computer al