Week 1 - Lecture 1 - Introduction to Machine Learning

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Machine Learning definition, task-performance-experience, inductive learning, classification, regression, supervised learning, unsupervised learning, Association rule mining, reinforcement learning.
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the best nptel lecture i have heard so far

MSuriyaPrakaash
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the only problem with nptel i always wonder that why they don't share the ppt!!

ecepranjalrai
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Is ML being replaced by citizen Data scientist auto-ML

ramsp
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assignment of ML and final exam of ML is it easy or hard?

raghvendratiwari
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I have been studying data science and machine learning from past few months from various online sources. I have built few projects also by using some github file as reference. But i failed to understand the explicit use of probabilitiy in it. Can anyone help me understand this with example or provide some good source to learn this? Thank you.

chiragpalan
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sir, I joined your nptel course for 2022

harpreetsingh-nwvc
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Amazing lecture. But these are theoretical lectures, what about practical programs? Is there some way through which I could learn practicals as well?

hiteshvaidya
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Hi team, could you please let me know how to get all the lectures for this course..

sudipa.batabyal
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Werid context to use the word chaffing but alright, let's go!

siddharthsinghtanwar