Upcoming Sessions
Past Sessions
7 Series
10 Sessions
LH
Enrichment · session
Live Help
Hello! Happy to help with any questions you might have.
SL
RM
Rishit M
0
Session ended.
LH
Enrichment · session
Live Help
Hello! Happy to help with any questions you might have.
SL
RM
Rishit M
0
Session ended.
LH
Enrichment · session
Live Help
Hello! Happy to help with any questions you might have.
SL
RM
Rishit M
0
Session ended.
LH
Enrichment · session
Live Help
Hello! Happy to help with any questions you might have.
SL
RM
Rishit M
0
Session ended.
LH
Enrichment · session
Live Help
Hello! Happy to help with any questions you might have.
SL
RM
Rishit M
0
Session ended.
LH
Enrichment · session
Live Help
Hello! Happy to help with any questions you might have.
SL
RM
Rishit M
0
Session ended.
LH
Enrichment · session
Live Help
Hello! Happy to help with any questions you might have.
SL
RM
Rishit M
0
Session ended.
CS
Computer Science · session
Computer Science
This is a gentle, non-technical introduction to Artificial Intelligence. What is AI? What is machine learning? What is deep learning? How are they related?
What does it mean when a computer learns, how does a computer learn, and can a computer really learn and become intelligent?
Why is AI gaining momentum now? How is it revolutionizing all fields of human endeavor and how is helping us fight the most pressing problems like climate change?
What are some concerns about AI? Is humanity doomed and heading to an apocalypse due to hostile super-intelligent machines?
What are the future prospects of AI? How can I get started in AI?
All of these questions will be answered in this session. You don't need to know anything beforehand to attend this session. Modern world is changing in the AI era, and whether you like it or not, AI is affecting us all, for the good and for the bad. Ready to embrace AI and open up to new perspectives? Register now!
SL
RM
Rishit M
0
Session ended.
LH
Enrichment · session
Live Help
Hello! Happy to help with any questions you might have.
SL
RM
Rishit M
0
Session ended.
CS
Computer Science · session
Computer Science
This is an introduction to supervised machine learning. In this session we will learn what supervised machine learning is and see its application. The main focus of session will be on linear regression, an introductory machine learning algorithm which is easy to understand yet very powerful. We will understand single variable linear regression as well as multiple linear regression, we will also see polynomial regression. We will understand the whole process of parameter optimization with an algorithm called gradient descent. In the end, all the learnings will be implemented in Python from scratch.
Expected pre-requisites: Understanding of basic algebra and coordinate geometry. All other advanced math needed will be dealt with in the session itself.
working knowledge of python is also good to have, however not required. Basic understanding of programming principles will be needed for the implementation part of the session, but not required for theory part.
SL
RM
Rishit M
1
Session ended.