Mathematical Principles in Machine Learning
Author | : Syed Thouheed Ahmed |
Publisher | : MileStone Research Publications |
Total Pages | : 321 |
Release | : 2023-02-08 |
ISBN-10 | : 9789357774543 |
ISBN-13 | : 9357774548 |
Rating | : 4/5 (43 Downloads) |
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