
This video contains introduction to the course, topics covered and target audience.
This video introduces the Legend Mr. S and explains how a simple linear model can be used for predicting expenses involved in partying.
The video explains how a Linear Regression model can help Mr. S to predict the expenses involved in his dating life.
This video explains how simple Machine Learning classification models such as Perceptron and Logistic Regression can help Mr. S to detect his soulmate.
This video explains the functionality of Neural Network model, why it performs better than other Machine Learning models which eventually helps Mr. S to find a suitable girl for his marriage.
This video concludes the course with credits.
Why this Course?
Lot of us might have experienced difficulty when relating Machine Learning and Deep Learning models. This course aims to answer usual doubts such as,
Why Deep Learning?
Why Neural Network performs better than Machine Learning models?
Deep Learning and Machine Learning are totally different technologies or they are much related?
How Deep Learning evolved from Machine Learning?
What it Covers?
The course covers Machine Learning models such as Linear Regression, Perceptron, Logistic Regression and a Deep Learning model Dense Neural Network.
The four chapters (videos) of the course deal with the adult life of a Legend named Mr. S and show how he used the Machine Learning and Deep Learning models to solve interesting problems such as partying, dating, searching for soulmate and eventually marrying the suitable girl in his life.
Through the journey of Mr. S, you will finally get to know why Neural Network performs better & how Machine Learning and Deep Learning are related.
Videos contain interesting scenarios with simple numerical examples and explanations.
Who can opt for this Course?
This course will be highly useful for those individuals,
Who does/doesn't have CS background and wants to understand Deep Learning technically without coding & too much mathematics.
Who are getting started with Machine Learning or Deep Learning.
Who seeks the answer: Why Neural Network perform better than Machine Learning models and how Deep Learning evolved from Machine Learning.
Who does research AI and have fundamental doubts about functionality of Neural Networks.