Lecture 11 | Machine Learning (Stanford)

[wget17]

Thank you Professor Andrew

[AmadeusStatisitician]

Bayesian stats :(; I picked the wrong lecture=P

[sakshamgautam]

Thank you for sharing such valuable tips and advice for applying machine learning algorithms.

[dskaram]

Advice for Applying Machine Learning Algorithms starts @25.00

[handdancin]

I will actually be sad when i get to the end of these lectures... they are a joy to watch. thanks Professor Ng :)

[7errain]

I think he mixed up terms a bit. Overfitting = high variance = low training error.

[jbm1966]

Professor Ng's great work. I love his classic style.

[jhgoi7ztpoh]

i agree with roywwcheng.

because if you watch carefully, he does not just write down the formulas, instead he's building them up -- leaving out notations, explain the stuff and then he completes or generalizes the equations.

this lecture provides a deep insight. liked it!

[roywwcheng]

I like his style. Using slides is boring. Using the board makes you think along with the prof.

[cantubury000k]

dont they have computers or technological tools that the prof can use. Was this video made in 1955 in the Muncie Central audio visual room in the basement. There are many finite examples of his style that bore the hell out of me. Dante's inferno must have a ring near the devil for this guy