PODCAST · technology
StatQuest with Josh Starmer
by StatQuest with Josh Starmer
Statistics, Machine Learning, Data Science, and AI seem like very scary topics, but since each technique is really just a combination of small and simple steps, they are actually quite simple. My goal with StatQuest is to break down the major methodologies into easy-to-understand pieces. That said, I don't dumb down the material. Instead, I build up your understanding so that you are smarter. Contact, Video Index, Etc: https://statquest.org Links: Patreon: https://www.patreon.com/statquest Tip Jar: https://www.paypal.com/paypalme2/statquest Music: https://joshuastarmer.bandcamp.com/ US/Europe Store: https://teespring.com/stores/statquest Home Page: https://statquest.org
Episodes
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Confidence Intervals, Clearly Explained!!!
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The AI Buzz, Episode #4: ChatGPT + Bing and How to start an AI company in 3 easy steps.
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The Simplex Algorithm, Mathematical Details!!!
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That Dude (in the movies)
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The standard error, Clearly Explained!!!
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The AI Buzz, Episode #3: Constitutional AI, Emergent Abilities and Foundation Models
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Another three (3) more lessons from my Pop!
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The GELU, SiLU and SwiGLU activation functions, clearly explained!!!
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Lowess and Loess, Clearly Explained!!!
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The Main Ideas behind Probability Distributions
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Human Stories in AI: Rick Marks
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StatQuest: edgeR, part 1, Library Normalization
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Human Stories in AI: Achal Dixit
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The Rainbow
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Human Stories in AI: Khushi Jain
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StatQuest: DESeq2, part 1, Library Normalization
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Human Stories in AI: Fabio Urbina
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Linear Regression, Clearly Explained!!!
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Evil Genius
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Standard Deviation vs Standard Error, Clearly Explained!!!
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Maximum Likelihood, clearly explained!!!
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The matrix math behind transformer neural networks, one step at a time!!!
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Fisher's Exact Test and the Hypergeometric Distribution
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Human Stories in AI: Brian [email protected]
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StatQuickie: Which t test to use
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Word Embedding in PyTorch + Lightning
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Log_e Song - Official Lyric Video
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Attention for Neural Networks, Clearly Explained!!!
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The Coldest Day of the Year
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Mr Hattie
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I Love You
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StatQuickie: Thresholds for Significance
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CatBoost Part 1: Ordered Target Encoding
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Word Embedding and Word2Vec, Clearly Explained!!!
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StatQuest: edgeR and DESeq2, part 2 - Independent Filtering
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Reinforcement Learning: Essential Concepts
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Human Stories in AI: Abbas Merchant@Matics Analytics
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StatQuickie: Thresholds for Significance
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StatQuest: One or Two Tailed P-Values
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p-hacking and power calculations
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Say Your Goodbyes
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A New Song
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Human Stories in AI: Xavier Moyá
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Reinforcement Learning with Neural Networks: Essential Concepts
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The Sum of Regrets
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Deal With It
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Human Stories in AI: Amy Finnegan
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A few more lessons from my Pop!
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Reinforcement Learning with Neural Networks: Mathematical Details
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Psycho Killer
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ABOUT THIS SHOW
Statistics, Machine Learning, Data Science, and AI seem like very scary topics, but since each technique is really just a combination of small and simple steps, they are actually quite simple. My goal with StatQuest is to break down the major methodologies into easy-to-understand pieces. That said, I don't dumb down the material. Instead, I build up your understanding so that you are smarter.
Contact, Video Index, Etc: https://statquest.org
Links: Patreon: https://www.patreon.com/statquest Tip Jar: https://www.paypal.com/paypalme2/statquest Music: https://joshuastarmer.bandcamp.com/ US/Europe Store: https://teespring.com/stores/statquest Home Page: https://statquest.org
HOSTED BY
StatQuest with Josh Starmer
CATEGORIES
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