Lecture 1 | Machine Learning (Stanford)

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science office. Professor Ng provides an overview of the training course in this introductory assembly. This class offers a wide introduction to machine learning and statistical sample recognition. Matters involve supervised learning, unsupervised learning, finding out theory, reinforcement learning and adaptive […]

World-wide-web3 Gaming is Typically a Rip-off with Charlie Smith, Co-Founder of Nifty Island

We focus on what is actually real and what is not in website3 gaming, and the future of crypto nations. Charl3s is a cool dude I have bought to know in Austin. At a social gathering just lately, I read him spitting some fireplace about how most of world-wide-web3 gaming is bullshit, so I introduced […]

Machine Learning? Training Pcs!!! What is it?

Namaskaar Dosto, yeh ek bahut hi interesting video hai, aap mein se bahut se consumers ne Machine Learning ke baare mein shayad pehle suna hoga, ya fir shayad aapne abhi tak machine Learning ke baare mein kuch na suna ho, aise mein aap yeh video dekhiye aur aap Machine Learning ke baare mein aur bhi […]

The weirdest result in data (and machine learning)

🌏 Ad: Get Special NordVPN offer here ➼ https://nordvpn.com/mathemaniac. It can be possibility-free with Nord’s 30-working day funds-again warranty! ✌ Next channel video: https://www.youtube.com/watch?v=3ne9yghOtw8 Stein’s paradox is of basic importance in contemporary stats, introducing concepts of shrinkage to even more minimize the indicate squared error, especially in bigger dimensional studies that is significantly appropriate currently, […]