Machine Learning - The Mathematics of Machine Learning | NerdML
Mathematics used behind Machine Learning - This video will help you to understand what is the use of Mathematics in Machine Learning. Why I started this series of tutorial? All will be answered in this video.
Machine learning is just to give trained data to a program and get better result for complex problems. It is very close to data mining.
While many machine learning algorithms have been around for a long time, the ability to automatically apply complex mathematical calculations to big data – over and over, faster and faster – is a recent development. Here are a few widely publicized examples of machine learning applications you may be familiar with:
The heavily hyped, self-driving Google car? The essence of machine learning.
Online recommendation offers such as those from Amazon and Netflix? Machine learning applications for everyday life.
Knowing what customers are saying about you on Twitter? Machine learning combined with linguistic rule creation.
Fraud detection? One of the more obvious, important uses in our world today.
Below topics are explained in this video:
1. Why we use Mathematics in Machine Learning? ( 00:25 )
2. Prerequisites of Mathematics ( 00:55 )
3. Explanation of use of Maths using Linear Regression example? ( 03:22 )
6. Recap for next video (06:14)
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Machine Learning Tutorial Playlist: • Machine Learning Tutorial
Deep Learning Tutorial Playlist : • Deep Learning Tutorial
Prerequisites
Basic understanding of Linear Algebra, Statistics, Probability & Calculus.
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Creator : Rahul Saini
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