Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

This lecture was a really simple & practical introduction to how machines learn Bayesian Learning, Bayes Theorem, Naive Bayes from Kimia Lab by Professor H.R.Tizhoosh. The lecture also walks through - MAP - Maximum Likelihood - Bayes Optimal Classifier - Naive Bayes model A really beginner-friendly lecture if you... show more

𝗿𝗮𝗺𝗮𝗸𝗿𝘂𝘀𝗵𝗻𝗮— 𝗲/𝗮𝗰𝗰

12,763 subscribers

14,816 Aufrufe • vor 5 Monaten •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

THE FORMULA BEHIND EVERY BAYESIAN TRADE ON POLYMARKET - FREE STANFORD LECTURE Stanford teaches Bayes' Theorem in a free 1-hour lecture this is the exact math behind the 5 formulas in that article save this 👇

THE FORMULA BEHIND EVERY BAYESIAN TRADE ON POLYMARKET - FREE STANFORD LECTURE Stanford teaches Bayes' Theorem in a free 1-hour lecture this is the exact math behind the 5 formulas in that article save this 👇

Mr. Buzzoni

104,682 Aufrufe • vor 7 Monaten

It takes just 9 minutes of this lecture from the MIT to understand how a 273-year-old formula continues to generate profits Bayes' theorem is one of the best formulas for trading on the basis of market sentiment Save this video and watch it to apply the formula on the Polymarket then, read the article

It takes just 9 minutes of this lecture from the MIT to understand how a 273-year-old formula continues to generate profits Bayes' theorem is one of the best formulas for trading on the basis of market sentiment Save this video and watch it to apply the formula on the Polymarket then, read the article

bodila

43,509 Aufrufe • vor 6 Monaten

Bayesianism Podcast - Twitter version First, I cover the basics of epistemology & decision theory. Then I go into the various "species" of what is grouped under "Bayesianism" including: Bayes' Theorem Bayesian Statistics Bayesian "Reasoning" & Bayesian "Epistemology"

Bayesianism Podcast - Twitter version First, I cover the basics of epistemology & decision theory. Then I go into the various "species" of what is grouped under "Bayesianism" including: Bayes' Theorem Bayesian Statistics Bayesian "Reasoning" & Bayesian "Epistemology"

Brett Hall

15,058 Aufrufe • vor 3 Jahren

An Introduction to the Theory of Machine Learning by Avrim Blum of TTIC. Lecture notes: (audio generated by notebookLM)

An Introduction to the Theory of Machine Learning by Avrim Blum of TTIC. Lecture notes: (audio generated by notebookLM)

Math Cafe

12,983 Aufrufe • vor 1 Jahr

Percy Liang teaches Stanford students how AI actually thinks now we get to learn it too. same lectures Stanford undergrads pay nearly $90,000 a year for. it teaches the math underneath every AI tool you use: / search and planning -> why agents loop the way they do / MDPs and RL -> why models reward-hack and how to spot it / probability and Bayes nets -> why outputs are calibrated (or aren't) / machine learning fundamentals -> what fine-tuning actually changes

Percy Liang teaches Stanford students how AI actually thinks now we get to learn it too. same lectures Stanford undergrads pay nearly $90,000 a year for. it teaches the math underneath every AI tool you use: / search and planning -> why agents loop the way they do / MDPs and RL -> why models reward-hack and how to spot it / probability and Bayes nets -> why outputs are calibrated (or aren't) / machine learning fundamentals -> what fine-tuning actually changes

dunik

18,446 Aufrufe • vor 5 Monaten

Watch "Endless experimentation: Building AI models in the wild." This is a 50-minute, MIT lecture about problems when deploying models and LLMs in the real world and how to prepare to solve them. This is a great lecture for those building production machine learning.

Watch "Endless experimentation: Building AI models in the wild." This is a 50-minute, MIT lecture about problems when deploying models and LLMs in the real world and how to prepare to solve them. This is a great lecture for those building production machine learning.

Santiago

117,341 Aufrufe • vor 2 Jahren

> If you’re reading my article about probability, prediction markets and tools like MiroFish > this 1 hour Stanford lecture “Bayesian Networks and Learning” is worth watching > one of the best short introductions to how beliefs update with new information > highly recommend

> If you’re reading my article about probability, prediction markets and tools like MiroFish > this 1 hour Stanford lecture “Bayesian Networks and Learning” is worth watching > one of the best short introductions to how beliefs update with new information > highly recommend

Mr. Buzzoni

59,250 Aufrufe • vor 7 Monaten

UC Berkeley's "Machine Learning" lecture notes PDF: (audio generated by NotebookLM)

UC Berkeley's "Machine Learning" lecture notes PDF: (audio generated by NotebookLM)

Math Cafe

15,469 Aufrufe • vor 1 Jahr

This 50-minute lecture by the scientist who built trading algorithms for Morgan Stanley and Lehman Brothers will teach you more about how machine learning actually works in algorithmic trading than most $1,000 courses ever will. Bookmark this and watch it tonight. It's the highest-leverage thing you can do if you want to understand how professional trading bots are really built. Then read the article below.

This 50-minute lecture by the scientist who built trading algorithms for Morgan Stanley and Lehman Brothers will teach you more about how machine learning actually works in algorithmic trading than most $1,000 courses ever will. Bookmark this and watch it tonight. It's the highest-leverage thing you can do if you want to understand how professional trading bots are really built. Then read the article below.

Goaty

81,174 Aufrufe • vor 6 Monaten

MIT's "Matrix Calculus for Machine Learning" Lecture Notes: Video: audio generated by notebookLM

MIT's "Matrix Calculus for Machine Learning" Lecture Notes: Video: audio generated by notebookLM

Math Cafe

23,816 Aufrufe • vor 1 Jahr

MIT's "Introduction to Algorithms" Lecture Notes: Lecture Videos: (audio generated by NotebookLM)

MIT's "Introduction to Algorithms" Lecture Notes: Lecture Videos: (audio generated by NotebookLM)

Math Cafe

31,536 Aufrufe • vor 1 Jahr

THIS GUY MADE $209K LAST WEEK TRADING 5–15 MINUTE BTC MARKETS WITH A CLAUDE BOT USING BAYES, ENTROPY, AND EV FORMULAS.

THIS GUY MADE $209K LAST WEEK TRADING 5–15 MINUTE BTC MARKETS WITH A CLAUDE BOT USING BAYES, ENTROPY, AND EV FORMULAS.

0xMarioNawfal

112,273 Aufrufe • vor 8 Monaten

10 million people watched an MIT professor accidentally destroy the executive coaching industry. He recorded one lecture in 2018. It has taught more people to communicate than courses costing thousands of dollars. Patrick Winston, former director of MIT's AI Lab, spent decades refining a simple framework for speaking that still outperforms most modern coaching. Watch the lecture. Then read the article below to learn how to apply it. 👇

10 million people watched an MIT professor accidentally destroy the executive coaching industry. He recorded one lecture in 2018. It has taught more people to communicate than courses costing thousands of dollars. Patrick Winston, former director of MIT's AI Lab, spent decades refining a simple framework for speaking that still outperforms most modern coaching. Watch the lecture. Then read the article below to learn how to apply it. 👇

Manisha Mishra

17,752 Aufrufe • vor 3 Monaten

How to draw a skull - lecture by Hyunjin

How to draw a skull - lecture by Hyunjin

Kim Jung Gi US

60,331 Aufrufe • vor 4 Monaten

Found a nice resource for learning ML/AI concepts interactively: VizLearn. You can play with gradient descent, SVMs, PCA, Bayes, BPE tokenization, Q/K/V, KV cache, quantization and a lot more, and watch the actual computation change as you modify the inputs. Free, no account needed.

Found a nice resource for learning ML/AI concepts interactively: VizLearn. You can play with gradient descent, SVMs, PCA, Bayes, BPE tokenization, Q/K/V, KV cache, quantization and a lot more, and watch the actual computation change as you modify the inputs. Free, no account needed.

Tech with Mak

14,513 Aufrufe • vor 1 Monat

Here's how our team uses the Codex app 👇 Ed Bayes shows about using the Figma skill to implement designs with 1:1 visual parity, including all CSS classes and styling automatically

Here's how our team uses the Codex app 👇 Ed Bayes shows about using the Figma skill to implement designs with 1:1 visual parity, including all CSS classes and styling automatically

OpenAI Developers

85,540 Aufrufe • vor 9 Monaten

'Thorough preparation, engaging delivery, active learning, supported by clear, visual-aided, well-structured content.' But enough Google AI. For a good student lecture, how about the human touch? Lecture 4 of Christiana's Mathematical Physiology course:

'Thorough preparation, engaging delivery, active learning, supported by clear, visual-aided, well-structured content.' But enough Google AI. For a good student lecture, how about the human touch? Lecture 4 of Christiana's Mathematical Physiology course:

Oxford Mathematics

22,656 Aufrufe • vor 9 Monaten

$18,000 -> $113,997 in one day using Bayes Theorem This trader made $513,304 today i fully analyzed his trades with ClaudeBot, and here's what we found he uses trading strategies: > Bayes' Theorem | P(strike|news) = P(news|strike) × P(strike) / P(news) | helped find an undervalued market at 27¢, he understands the real probability is 55%, and made $235,947 on it > Hedge via NO | P(YES) + P(NO) ≈ 1 | Bought YES on USA, and simultaneously NO on Israel. Different countries - different scenarios. NO hit -> +$86,000 > Deadline Pricing Model | P(event by T1) < P(event by T2) if T1 < T2 | Same strike - three different dates. Feb 28, March 1, March 31. I clearly understand he knows what he's doing 70% win rate confirms it Copy his trades:

$18,000 -> $113,997 in one day using Bayes Theorem This trader made $513,304 today i fully analyzed his trades with ClaudeBot, and here's what we found he uses trading strategies: > Bayes' Theorem | P(strike|news) = P(news|strike) × P(strike) / P(news) | helped find an undervalued market at 27¢, he understands the real probability is 55%, and made $235,947 on it > Hedge via NO | P(YES) + P(NO) ≈ 1 | Bought YES on USA, and simultaneously NO on Israel. Different countries - different scenarios. NO hit -> +$86,000 > Deadline Pricing Model | P(event by T1) < P(event by T2) if T1 < T2 | Same strike - three different dates. Feb 28, March 1, March 31. I clearly understand he knows what he's doing 70% win rate confirms it Copy his trades:

Noisy

43,184 Aufrufe • vor 8 Monaten

How Islam "Conquered" Jerusalem. The complete story... The essence of Islam From a lecture by Prof. Roy Casagranda Full lecture below:

How Islam "Conquered" Jerusalem. The complete story... The essence of Islam From a lecture by Prof. Roy Casagranda Full lecture below:

Haytham Algosaibi هيثم القصيبي

1,440,762 Aufrufe • vor 3 Jahren

Lean Applied Machine Learning for FREE by Cornell University - 80 Lectures - Lecture Notes - Self-paced Learning - 100% FREE Course and Notes link 🧵👇

Lean Applied Machine Learning for FREE by Cornell University - 80 Lectures - Lecture Notes - Self-paced Learning - 100% FREE Course and Notes link 🧵👇

Python Space

121,306 Aufrufe • vor 3 Jahren