Start of a new journey with AI/ML

It has been a week since I started the basics of AI/ML which is being conducted by our university. For the last month we were being taught/revised the core python and I was so confident in it. The reason I love Python is because it is easy to understand and the syntax is really simple. But what I loved the most was that, Python is a really vast language, like really, you could do anything you like in it. I highly recommend it. But now back to the topic, It has been a good experience since I started it.

Day 1: We were given some overview of Machine Learning. About why and where it is used and how it reduces our efforts and time consumption. We were introduced to the terms like: Supervised Learning, Unsupervised Learning and Reinforcement Learning.

We also learned about AI, ML and DL individually. As it is not possible to explain all of them in this small Article, I will just summarize it:

Day 2: On day two we focused on Linear Algebra and Started with Numpy and learnt how & why is it better than Lists in Python. It was fun and I learnt a lot of new things. Numpy was really easy to learn. For those who want to start with Numpy can click on the image below:

Day 3: This day was all about statistics. We revised about the mean, median and the basic formulas like that of Co-variance, Standard Deviation, etc. So it was all on paper but still it was fun.

Day 4: I admit, I was not ready for this day. Since my 10th standard I have problem solving PROBABILITY QUESTIONS but truly this day went exceptionally good. Not only I understood all the questions, I finally understood how it really works. I can't appreciate my Mentor Kanav_Bansal enough. His way of teaching was really simple to grasp.

Well that's all for week-1. I'll post another one about my second week, So keep looking forward for it.

THANK YOU!