All about regularization at the heart of Bayesian Statistics! 0:00 Intuition 8:01 The Math 11:07 Connection to Ridge and Lasso Bayesian Linear Regression Video : https://www.youtube.com/watch?v=Z6HGJMUakmc Lasso Regression Video : https://www.youtube.com/watch?v=jbwSCwoT51M Ridge Regression Video : https://www.youtube.com/watch?v=5asL5Eq2x0A

All about the importance of conjugate priors in Bayesian statistics! Beta Distribution Video : https://www.youtube.com/watch?v=1k8lF3BriXM 0:00 Intro 5:13 The Math 9:48 The Big Idea

The advantages of contextual bandits over multi-armed bandits! Multi Armed Bandits : https://www.youtube.com/watch?v=e3L4VocZnnQ Visuals Created with Excalidraw : https://excalidraw.com/

The convoluted elegance of second price auctions! Visuals Created with Excalidraw : https://excalidraw.com/

The elegance of the Peter Principle! Visuals Created with Excalidraw : https://excalidraw.com/ Lightbulb Icon : https://www.freepik.com/icon/light-bulb_2988036#position=3&page=1&term=lightbulb&fromView=search

The intuitive mathematics behind the four LLM parameters that will most help perfect your LLM applications! Visuals Created with Excalidraw : https://excalidraw.com/

All about the medical match which matches medical students to residency programs! Visuals Created with Excalidraw : https://excalidraw.com/

A lesser-known extension of Lasso! Lasso Regression : https://www.youtube.com/watch?v=jbwSCwoT51M Fused Lasso Code Example : https://github.com/ptyshevs/fused_lasso

All about the efficiency of the Yule Walker equations in Time Series Analysis! Visuals Created with Excalidraw : https://excalidraw.com/

How do we evaluate LLMs and chatbots? Visuals created with Excalidraw : https://excalidraw.com/ 0:00 Intro 1:42 Basic Unit Tests 3:07 LLM Unit Tests 6:34 Full Conversation Evaluation

Predicting Super Bowl LIX Last Year's Prediction : https://www.youtube.com/watch?v=ALXp_SBw8VM Data Source : https://www.kaggle.com/datasets/tobycrabtree/nfl-scores-and-betting-data/data Visuals Created with Excalidraw : https://excalidraw.com/

We know about L1 Regularization (Lasso) and L2 Regularization (Ridge), but what would L3 Regularization look like and when would we use it? Lasso (L1) : https://www.youtube.com/watch?v=jbwSCwoT51M Ridge (L2): https://www.youtube.com/watch?v=5asL5Eq2x0A Elastic Net : https://www.youtube.com/watch?v=t6E0Dt5rg9U Visuals Created with Excalidraw : https://excalidraw.com/

Balancing between L1 and L2 regularization! Lasso (L1) : https://www.youtube.com/watch?v=jbwSCwoT51M Ridge (L2): https://www.youtube.com/watch?v=5asL5Eq2x0A 0:00 Intro 1:39 Lasso Recap 5:05 Ridge Recap 7:46 Elastic Net

Making an AI Agent to write banger video titles! Utils Code : https://github.com/ritvikmath/YouTubeVideoCode/blob/main/youtube_agent_utils.py Driver Code : https://github.com/ritvikmath/YouTubeVideoCode/blob/main/YouTubeAgent%20-%20Driver.ipynb Thompson Sampling : https://www.youtube.com/watch?v=Zgwfw3bzSmQ Past Attempt using Reinforcement Learning : https://www.youtube.com/watch?v=T3fvitJOXMM Diamond Icon by Iconic Panda https://www.freepik.com/search Icon by Smashicons https://www.freepik.com/icon/blushing_1815366#fromView=search&term=scared&page=1&position=14&track=ais Icon by Maxim Basinski Premium https://www.freepik.com/search?format=search&last_filter=query&last_value=magnifying+glass&query=magnifying+glass&type=icon Icon by Freepik https://www.freepik.com/search?format=search&last_filter=query&last_value=math&query=math&type=icon Icon by Iconic Panda https://www.freepik.com/search?format=search&last_filter=type&last_value=icon&query=code&type=icon Icon by Freepik https://www.freepik.com/search?format=search&last_filter=query&last_value=video+camera&query=video+camera&type=icon Icon by Freepik https://www.freepik.com/search?format=search&last_filter=query&last_value=edit&query=edit&type=icon Icon by Freepik https://www.freepik.com/search?format=search&last_filter=query&last_value=upload&query=upload&type=icon Icon by Freepik https://www.freepik.com/icon/fire_785116#fromView=search&term=fire&page=1&position=0&track=ais Icon by Umeicon https://www.freepik.com/icon/knife_3577905#fromView=search&term=knife&page=1&position=19&track=ais Icon by Eucalyp https://www.freepik.com/icon/control_3605582#fromView=search&term=algorithm&page=1&position=16&track=ais Icon by Freepik https://www.freepik.com/search?format=search&last_filter=query&last_value=youtube&query=youtube&type=icon Icon by Us and Up https://www.freepik.com/search?format=search&last_filter=query&last_value=thumbs+down&query=thumbs+down&type=icon Icon by Freepik https://www.freepik.com/icon/light-bulb_2988036#position=3&page=1&term=lightbulb&fromView=search Visuals Created with Excalidraw https://excalidraw.com/

Why the Product Rule, Chain Rule, Integration by Parts, and U Substitution are really all the same. Visuals Created with Excalidraw : https://excalidraw.com/ 0:00 Intro 1:47 The Product Rule 5:22 Integration by Parts 7:00 Chain Rule 9:26 U Substitution 14:09 Recap