#5 Norms | Machine Learning for Engineering & Science Applications

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Welcome to 'Machine Learning for Engineering & Science Applications' course !

This lecture delves into the concept of norms in linear algebra, explaining their significance in quantifying vector magnitudes and measuring distances. It covers different types of norms, such as the L1 and L2 norms, and discusses their applications in machine learning, including regularization techniques. The lecture aims to provide a thorough understanding of norms and their role in various machine learning algorithms.
NPTEL Courses permit certifications that can be used for Course Credits in Indian Universities as per the UGC and AICTE notifications.

#Norms #LinearAlgebra #VectorMagnitude #DistanceMeasurement #Regularization #MachineLearning
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Oh man, 3 years later and this is still saving students. Thank you for explaining it so clearly!

SorryBones
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Wow very good straightforward explanation. The simplicity and clarity is A+! Thank you so much for sharing this!

heidioid
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This is the most in depth definition of the norm

oraz.
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Excellent explanation of what the norm is. I was searching for days until I found your video. Well done and keep it up please.

zeyadramadan
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simply amazing. you described it as crystal clear. Thank you so much.

samsilarifeen
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You are advised to enhance your presentation technology i.e. video quality, obviously teaching skill and provided content is excellent 👍.

Rahul_IMD
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Thank you Sir.It was a Wonderful Session

tagoreji
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So it's understandable that the L2 norm will give us the distance of the point from origin & L1 norm gives the sum of distances of its 3 base coordinates. But what L3 or higher norms of the same 3d vector signifies? I find it difficult to get the intuition behind higher norms in terms of distance. Kindly explain.

SwavimanKumar
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can somebody link to the playlist that this comes from?

johnk
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please provide playlist link in description of the video

_justacoder_
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Isn't it counter intuitive/ productive to associate a number with a mean two entirely different matrices may have equivalent norms, but that closeness will mean nothing.!!!??

अंशुमानअवस्थी
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Vector addition x+y is based on parallelogram rule of addition

bharathmadduri
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At 7.19 min The Direction Of The 3rd Vector Is Wrong I Think, It Does not Satisfy normal vector addition rule ....

captainstreamer
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Is there any way I could get the slides of the presentation.. it would be helpful to make notes out of it..

khayum
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For this is it compulsory that we have prior knowledge of MATLAB...

anushkaverma
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I am unclear about the difference between Frobenius norm and L2 norm.

shritejchavan
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What is norm of a vector having complex numbers?

ranjithabc
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8:10 isn't it x-y instead of x+y?

tulaycaglayan
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You Showed (x+y) Wrongly(in reverse direction)

prithwishguha
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hi sir.. when this course will come in nptel?

SMM_