StatQuest with Josh Starmer
Data Science@statquest 1.3M subscribers19 briefs
ML algorithms and statistics, simplified into the BAM!-iest explanations on YouTube.
- statistics
- ml
Latest video briefs
The Simplex Algorithm, Mathematical Details!!!
The simplex algorithm optimizes by moving through feasible vertices. Constraints must be set with 'less than or equal to' for proper functioning. Slack variables help convert inequalities into equalities for calculations. The method begins from the origin to find an optimal solution.
Jul 13, 2026Read brief
Optimization with Linear Programming (and the Simplex Algorithm), Main Ideas!!!
Linear programming is a method for optimization using clever algorithms. The simplex algorithm helps maximize revenue under constraints. Revenue can be computed by evaluating vertices in a graph representing constraints.
Jul 6, 2026Read brief
StatQuest: Random Forests Part 2: Missing data and clustering
Random forests can handle missing data through iterative refining of guesses. Missing values are initially estimated and gradually improved by calculating sample similarities. The proximity matrix tracks similarities between samples to enhance predictions.
Jun 8, 2026Read brief
False Discovery Rates, FDR, clearly explained
False Discovery Rates (FDR) help filter out misleading data in high-throughput sequencing. FDR accounts for the occurrence of false positives when comparing multiple genetic tests. Using methods like Benjamini-Hochberg can control the number of false positives effectively.
Jun 8, 2026Read brief
The Essence of Linear Regression
Linear regression is used to make predictions based on data. The quality of predictions is measured using sum of squared residuals. Residuals are the differences between observed and predicted values.
May 18, 2026Read brief
How AI works in Super Simple Terms!!!
AI operates by converting prompts into numerical coordinates. Predictions can be made using a simple line equation. Large data sets enhance the accuracy of AI predictions.
Jan 12, 2026Read brief
StatQuest: Career Advice from Tech Industry Leaders
Always be curious to uncover core problems. Value everyone's contributions to build confidence. Small steps lead to significant progress over time. Unix pipes can simplify software design.
Sep 4, 2025Read brief
Reinforcement Learning with Human Feedback (RLHF), Clearly Explained!!!
Reinforcement learning with human feedback (RLHF) is essential for training large language models. Pre-training models involves predicting the next token using vast text datasets, like Wikipedia. Supervised fine-tuning aligns models to generate human-like responses, but can lead to overfitting. RLHF helps improve response generation for new, unseen prompts without needing extensive datasets.
May 5, 2025Read brief
Reinforcement Learning with Neural Networks: Mathematical Details
Reinforcement learning can be integrated with neural networks using policy gradients. Cross entropy is used to quantify differences in probabilities during training. The process involves calculating derivatives to optimize network parameters.
Apr 14, 2025Read brief
Reinforcement Learning with Neural Networks: Essential Concepts
Reinforcement learning uses trial and error to improve decision-making. Policy gradients are a key method in training neural networks without known outputs. Understanding back propagation helps in grasping the limitations of traditional training methods.
Apr 7, 2025Read brief
Reinforcement Learning: Essential Concepts
Reinforcement learning enables computers to learn from experiences. It can help make decisions, such as choosing a restaurant based on prior satisfaction. Learning rates influence how quickly a system adjusts its probabilities.
Mar 31, 2025Read brief
StatQuest on DeepLearning.AI!!! Check out my short course on attention!
Learn about the foundational technique of attention in deep learning. Explore query, key, and value matrices and their roles in attention. Understand different types of attention: self, masked, and cross attention. Discover how multi-head attention improves performance and scalability.
Feb 12, 2025Read brief
StatQuest with Josh Starmer is live!
Josh Starmer hosts a live session interacting with viewers from around the world. He promotes his newly released book, 'The StatQuest Illustrated Guide to Neural Networks and AI'. Starmer announces an upcoming short course on attention mechanisms in deep learning.
Feb 6, 2025Read brief
Encoder-Only Transformers (like BERT) for RAG, Clearly Explained!!!
Encoder-only Transformers, like BERT, are capable models for text representation. They create word embeddings to convert words into numerical values, enhancing context understanding. Despite the prominence of decoder-only models, encoder-only models maintain significant utility.
Nov 18, 2024Read brief
Luis Serrano + Josh Starmer Q&A Livestream!!!
Luis Serrano and Josh Starmer engaged in a lively Q&A livestream. Topics included experience in machine learning, the Nobel Prize in physics, and learning strategies. Audience participation was emphasized, encouraging viewers to ask questions.
Oct 10, 2024Read brief
Human Stories in AI: Nana Janashia@TechWorld With Nana
Nana Janashia transitioned from marketing to software development for job security. She found her passion in DevOps and Kubernetes, leading to a successful YouTube channel. The channel grew rapidly, reaching over 1 million subscribers in four years. Nana aims to simplify complex tech concepts for engineers through her tutorials.
Sep 9, 2024Read brief
A few more lessons from my Pop!
Do what you love and make a positive impact. Friendship can be found everywhere in the world. View challenges as experiments to encourage learning.
Sep 4, 2024Read brief
Human Stories in AI: Abbas Merchant@Matics Analytics
Abbas Merchant initially considered dropping out of high school to join his family business. He faced rejection from his family but later learned the importance of education. After three years in the family business, he recognized the need for further education. Merchant pivoted to complete his schooling to strengthen his foundational knowledge for business success.
Jul 29, 2024Read brief
Luis Serrano + Jay Alammar + Josh Starmer Q&A Livestream!!!
Josh Starmer discusses the origins and goals of his educational content. The live stream features prominent AI figures Luis Serrano and Jay Alammar. Josh's original audience was genetics researchers needing help with statistics. He adapted his teaching style to be approachable for a broader audience. Humor and relatable examples like M&M's are key to his educational approach.
Jul 13, 2024Read brief