Jon Krohn
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Agentic AI Hands-On in Python: MCP, CrewAI and OpenAI Agents
Jon Krohn
Generative AI with Large Language Models: Hands-On Training
Jon Krohn
Getting Value from Artificial Intelligence — Jon Krohn at Hg
Jon Krohn
Four Major Weightlifting PRs (DL, OHS, PJ, FS)
Jon Krohn
#shorts Plotting a System of Linear Equations
Jon Krohn
#Shorts System of Linear Equations — Topic 1 of Machine Lear
Jon Krohn
The Staggering Pace of Technological Change in One Lifetime
Jon Krohn
Big Olympic Lift PRs: 255# Clean & 185# Snatch
Jon Krohn
380# Back Squat & 170# Snatch: New All-Time PRs
Jon Krohn
440-pound Deadlift: First Lift 2x Bodyweight
Jon Krohn
Exercises on Event Probabilities — Topic 98 of Machine Learn
Jon Krohn
Combinatorics — Topic 97 of Machine Learning Foundations
Jon Krohn
Multiple Independent Observations — Topic 96 of Machine Lear
Jon Krohn
Events and Sample Spaces — Topic 95 of Machine Learning Foun
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What Probability Theory Is — Topic 94 of Machine Learning Fo
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A Brief History of Probability Theory — Topic 93 of Machine
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Probability & Information Theory — Subject 5 of Machine
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My Favorite Calculus Resources — Topic 92 of Machine Learnin
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Finding the Area Under the ROC Curve — Topic 91 of Machine L
Jon Krohn
Definite Integral Exercise — Topic 90 of Machine Learning Fo
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Numeric Integration with Python — Topic 89 of Machine Learni
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Definite Integrals — Topic 88 of Machine Learning Foundation
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Indefinite Integral Exercises — Topic 87 of Machine Learning
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The Integral Calculus Rules — Topic 86 of Machine Learning F
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What Integral Calculus Is — Topic 85 of Machine Learning Fou
Jon Krohn
The ROC Curve (Receiver-Operating Characteristic Curve) — To
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All-Time Snatch PR: 160 pounds
Jon Krohn
The Confusion Matrix — Topic 83 of Machine Learning Foundati
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Binary Classification — Topic 82 of Machine Learning Foundat
Jon Krohn
Integral Calculus — The Final Segment of Calculus Videos in
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Exercise on Higher-Order Partial Derivatives — Topic 81 of M
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Higher-Order Partial Derivatives — Topic 80 of Machine Learn
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More than Bodyweight Overhead for the First Time
Jon Krohn
Backpropagation — Topic 79 of Machine Learning Foundations
Jon Krohn
The Gradient of Mean Squared Error — Topic 78 of Machine Lea
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Gradient Descent (Hands-on with PyTorch) — Topic 77 of Machi
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The Gradient of Quadratic Cost — Topic 76 of Machine Learnin
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All-Time Clean & Jerk PR: 205 Pounds
Jon Krohn
Linear Regression Fit Point by Point — Topic 75 of Machine L
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Exercises on the Multivariate Chain Rule — Topic 74 of Machi
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The Chain Rule for Partial Derivatives — Topic 73 of Machine
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Partial Derivative Notation — Topic 72 of Machine Learning F
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Mathematical Foundations of Machine Learning (Course Intro V
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Advanced Partial-Derivative Exercises — Topic 71 of Machine
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Advanced Partial Derivatives — Topic 70 of Machine Learning
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Calculating Partial Derivatives with PyTorch AutoDiff — Topi
Jon Krohn
Partial Derivative Exercises — Topic 68 of Machine Learning
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What Partial Derivatives Are (Hands-on Introduction) — Topic
Jon Krohn
