Jon Krohn

Calculus II: Partial Derivatives & Integrals — Subject 4 of Machine Learning Foundations

SuperDataScience | Saving the Oceans with AI | A4N Episode 3

Automatic Differentiation with PyTorch — Topic 63 of Machine Learning Foundations

Basic Tensor Arithmetic (The Hadamard Product) — Topic 12 of Machine Learning Foundations

Big O Notation — with Examples in Python

The Confusion Matrix — Topic 83 of Machine Learning Foundations

Tensors — Topic 3 of Machine Learning Foundations

Generative AI with Large Language Models: Hands-On Training feat. Hugging Face and PyTorch Lightning

The Frobenius Norm — Topic 18 of Machine Learning Foundations

Linear Algebra II: Matrix Operations — Subject 2 of Machine Learning Foundations

What Automatic Differentiation Is — Topic 62 of Machine Learning Foundations

380# Back Squat & 170# Snatch: New All-Time PRs

Determinants and Eigenvalues — Topic 32 of Machine Learning Foundations

440-pound Deadlift: First Lift 2x Bodyweight

Combinatorics — Topic 97 of Machine Learning Foundations

Higher-Order Partial Derivatives — Topic 80 of Machine Learning Foundations

Automatic Differentiation with TensorFlow — Topic 64 of Machine Learning Foundations

What Linear Algebra Is — Topic 1 of Machine Learning Foundations

Matrix Multiplication — Topic 19 of Machine Learning Foundations

The Line Equation as a Tensor Graph — Topic 65 of Machine Learning Foundations

The Chain Rule for Partial Derivatives — Topic 73 of Machine Learning Foundations

The Gradient of Quadratic Cost — Topic 76 of Machine Learning Foundations

The Gradient of Mean Squared Error — Topic 78 of Machine Learning Foundations

The Integral Calculus Rules — Topic 86 of Machine Learning Foundations

Calculating Partial Derivatives with PyTorch AutoDiff — Topic 69 of Machine Learning Foundations

Machine Learning Foundations: Welcome to the Journey

The Power Rule for Derivatives – Topic 53 of Machine Learning Foundations

Eigenvectors and Eigenvalues — Topic 28 of Machine Learning Foundations

Exercises on the Multivariate Chain Rule — Topic 74 of Machine Learning Foundations

Agentic AI Engineering: Complete 4-Hour Workshop feat. MCP, CrewAI and OpenAI Agents SDK

Four Major Weightlifting PRs (DL, OHS, PJ, FS)

Exercises on Tensor Operations — Topic 15 of Machine Learning Foundations

Calculus II: Partial Derivatives & Integrals — Subject 4 of Machine Learning Foundations

Data Compression with SVD — Topic 36 of Machine Learning Foundations

Partial Derivative Exercises — Topic 68 of Machine Learning Foundations

The ROC Curve (Receiver-Operating Characteristic Curve) — Topic 84 of Machine Learning Foundations

Linear Regression Fit Point by Point — Topic 75 of Machine Learning Foundations

Eigenvector and Eigenvalue Applications — Topic 34 of Machine Learning Foundations

Numeric Integration with Python — Topic 89 of Machine Learning Foundations

Eigendecomposition — Topic 33 of Machine Learning Foundations

Tensor Reduction — Topic 13 of Machine Learning Foundations

What Integral Calculus Is — Topic 85 of Machine Learning Foundations

Big Olympic Lift PRs: 255# Clean & 185# Snatch

Calculus I: Limits & Derivatives — Subject 3 of Machine Learning Foundations

Scalars — Topic 4 of Machine Learning Foundations

Events and Sample Spaces — Topic 95 of Machine Learning Foundations

Tackling Coronaviruses with Machine Learning - A4N Episode 2

Getting Value from Artificial Intelligence — Jon Krohn at Hg Capital "Digital Forum" 2023

Matrix Multiplication Exercises — Topic 21 of Machine Learning Foundations

Multiple Independent Observations — Topic 96 of Machine Learning Foundations

Matrix Tensors — Topic 8 of Machine Learning Foundations