Intro · 2:49
Introduction to machine learning
Course overview.
- Fundamentals of machine learning.
- Regression, classification, evaluation.
- Beginner-friendly.
| Topic | Focus |
|---|---|
| Regression | Numbers |
| Classification | Classes |
| Evaluation | Quality |
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Topics?
Regression, classification, evaluation.
Level?
Beginner.
0:00 We will cover everything from the mathematical model of linear regression to its practical implementation in Python. This series is designed for beginners. So no prior machine learning experience is required. This is a live tutorial we have compiled as a beginner-friendly machine learning guide just for you. But before we begin, make sure you subscribe to our channel and hit the bell icon for more updates on our new videos. [Music] Uh so we'll start off with an introduction to machine learning.
0:48 Okay. Uh my name is Sutar Shaan and I'll be taking up this session for you tonight. Generally uh some guidelines are here that you can read but uh let me see if I can pick out the ones that are relevant for today. So in terms of prerequisites uh there's not much. It's just you know um as long as you understand uh data analysis and what we do in data analysis uh and things like that right uh that is sufficient prerequisite for this session um mostly there will not be any exercise uh in terms of python or calculations or anything uh that's going to come up from the next session onwards right today's is an introductory session where we want to uh where we want to you know develop that frame of mind and get into that frame of mind uh to do machine learning.
1:36 So that's more or less what today's session is going to be about. Okay. So the agenda for today uh is as you can see on the screen we'll start with an introduction to machine learning. Then we'll try to understand what are the motivations behind machine learning that is why do we want to do it. uh we'll discuss very briefly what the current landscape looks like the academic and the industrial uh landscape. Then we'll get into the various types of machine learning uh the paradigms and finally we will uh look at linear regression as a machine learning model uh in an introductory way right we'll uh we'll do an introduction to uh linear regression and then in the next session we can you know deep dive into linear regression.
2:23 So this is the agenda for this session.
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