Linear Regression Gradient Descent | Machine Learning | Explained Simply

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient Descent is an algorithm we use to minimize the cost function value, so as to fit our model to the data set.

Gradient Descent finds the minima of cost function, by using the derivative of the cost function w.r.t parameters. Without applying Gradient Descent, we cannot train any model in Machine Learning.

Learn in the video, how it works !

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I am dedicated to help you Learn Machine Learning in a cool way !

[CodingLane]

If you found any value from the video, hit the red subscribe and like button 👍. I would really love your support! 🤗🤗

[aniketkumar]

Finally! I found something useful. Thanks a lot, everyone teaches working of gradient descent in very crude way, but almost no one teaches the maths behind it. Almost everyone simply imports gradient descent from some library and no one shows pseudo code. I wanted to understand the working behind those functions, how these parameters get adjusted, and what maths is getting used behind the scenes, so if required we can create our own functions, and this video fulfilled all these requirements.

[vinyasshreedhar]

Your explanation is really good. It would be helpful if you could make video playlists on Linear Algebra, Optimization and Calculus.

[Sansaar_Ek_Vistaar]

The best ever explanation with detailed mathematical explanation

[simonwang]

This is a great explanation of gradient descent! Thank you!

[IbrahimAli-kxkp]

Last 5 minutes were epic 😍... Thanks 💙

[mrguitaramateure]

Thanks for this. I'm learning data analytics but I come from a profession with little math, so it's challenging.

[ananthdev]

i usually never comment, but this was so simple and easy to understand ty

[johans]

Don't stop! This was more than helpful!

[aayushjitendrakumar]

Your way of explaining things were just amazing!!, I got all u wanted to explain , thanks..

[purplefoxdevs]

Keep going on bro u are clearing my concepts, please make a playlist on python tutorials

[demon]

Nice explanation point to point explanation others only give confusions 😅

[JJ-pzdx]

hello, in 11:00 why did you multibly the m with 2? in the previos video there was only m

[wthejnu]

hey, can you please help me to solve this question?
Question: . You run gradient descent for 15 iterations with α=0.4 and compute J(θ) after each iteration. You find that the value of J(θ) increases over time. Based on this, please describe how do you choose a suitable value for α.

[vl...]

can you solve questions too please, all the video you explained...

[saketh]

tysm really appreciate your explanation

[Pubuditha]

Thank you a lot for this. Your explanation helped to wrap my head around gradient descent !

[jessicasaini]

Great explanation. Please make a video on knn too.

[jokebro]

why do u ignore the -ve sign in the partial derivative

[hamza]

hello, I believe that sigma goes from zero to m not from 1 to m, anyway thanks for the great explanation