Канал: Jon Krohn

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

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

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

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

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

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

#shorts Plotting a System of Linear Equations

#shorts Plotting a System of Linear Equations

#Shorts System of Linear Equations — Topic 1 of Machine Learning Foundations

#Shorts System of Linear Equations — Topic 1 of Machine Learning Foundations

The Staggering Pace of Technological Change in One Lifetime

The Staggering Pace of Technological Change in One Lifetime

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

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

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

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

440-pound Deadlift: First Lift 2x Bodyweight

440-pound Deadlift: First Lift 2x Bodyweight

Exercises on Event Probabilities — Topic 98 of Machine Learning Foundations

Exercises on Event Probabilities — Topic 98 of Machine Learning Foundations

Combinatorics — Topic 97 of Machine Learning Foundations

Combinatorics — Topic 97 of Machine Learning Foundations

Multiple Independent Observations — Topic 96 of Machine Learning Foundations

Multiple Independent Observations — Topic 96 of Machine Learning Foundations

Events and Sample Spaces — Topic 95 of Machine Learning Foundations

Events and Sample Spaces — Topic 95 of Machine Learning Foundations

What Probability Theory Is — Topic 94 of Machine Learning Foundations

What Probability Theory Is — Topic 94 of Machine Learning Foundations

A Brief History of Probability Theory — Topic 93 of Machine Learning Foundations

A Brief History of Probability Theory — Topic 93 of Machine Learning Foundations

Probability & Information Theory — Subject 5 of Machine Learning Foundations

Probability & Information Theory — Subject 5 of Machine Learning Foundations

My Favorite Calculus Resources — Topic 92 of Machine Learning Foundations

My Favorite Calculus Resources — Topic 92 of Machine Learning Foundations

Finding the Area Under the ROC Curve — Topic 91 of Machine Learning Foundations

Finding the Area Under the ROC Curve — Topic 91 of Machine Learning Foundations

Definite Integral Exercise — Topic 90 of Machine Learning Foundations

Definite Integral Exercise — Topic 90 of Machine Learning Foundations

Numeric Integration with Python — Topic 89 of Machine Learning Foundations

Numeric Integration with Python — Topic 89 of Machine Learning Foundations

Definite Integrals — Topic 88 of Machine Learning Foundations

Definite Integrals — Topic 88 of Machine Learning Foundations

Indefinite Integral Exercises — Topic 87 of Machine Learning Foundations

Indefinite Integral Exercises — Topic 87 of Machine Learning Foundations

The Integral Calculus Rules — Topic 86 of Machine Learning Foundations

The Integral Calculus Rules — Topic 86 of Machine Learning Foundations

What Integral Calculus Is — Topic 85 of Machine Learning Foundations

What Integral Calculus Is — Topic 85 of Machine Learning Foundations

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

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

All-Time Snatch PR: 160 pounds

All-Time Snatch PR: 160 pounds

The Confusion Matrix — Topic 83 of Machine Learning Foundations

The Confusion Matrix — Topic 83 of Machine Learning Foundations

Binary Classification — Topic 82 of Machine Learning Foundations

Binary Classification — Topic 82 of Machine Learning Foundations

Integral Calculus — The Final Segment of Calculus Videos in my ML Foundations Series

Integral Calculus — The Final Segment of Calculus Videos in my ML Foundations Series

Exercise on Higher-Order Partial Derivatives — Topic 81 of Machine Learning Foundations

Exercise on Higher-Order Partial Derivatives — Topic 81 of Machine Learning Foundations

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

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

More than Bodyweight Overhead for the First Time

More than Bodyweight Overhead for the First Time

Backpropagation — Topic 79 of Machine Learning Foundations

Backpropagation — Topic 79 of Machine Learning Foundations

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

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

Gradient Descent (Hands-on with PyTorch) — Topic 77 of Machine Learning Foundations

Gradient Descent (Hands-on with PyTorch) — Topic 77 of Machine Learning Foundations

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

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

All-Time Clean & Jerk PR: 205 Pounds

All-Time Clean & Jerk PR: 205 Pounds

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

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

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

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

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

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

Partial Derivative Notation — Topic 72 of Machine Learning Foundations

Partial Derivative Notation — Topic 72 of Machine Learning Foundations

Mathematical Foundations of Machine Learning (Course Intro Video)

Mathematical Foundations of Machine Learning (Course Intro Video)

Advanced Partial-Derivative Exercises — Topic 71 of Machine Learning Foundations

Advanced Partial-Derivative Exercises — Topic 71 of Machine Learning Foundations

Advanced Partial Derivatives — Topic 70 of Machine Learning Foundations

Advanced Partial Derivatives — Topic 70 of Machine Learning Foundations

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

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

Partial Derivative Exercises — Topic 68 of Machine Learning Foundations

Partial Derivative Exercises — Topic 68 of Machine Learning Foundations

What Partial Derivatives Are (Hands-on Introduction) — Topic 67 of Machine Learning Foundations

What Partial Derivatives Are (Hands-on Introduction) — Topic 67 of Machine Learning Foundations

First Greater-than-Bodyweight Clean (225 pounds)

First Greater-than-Bodyweight Clean (225 pounds)

First 300-pound Front Squat

First 300-pound Front Squat

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

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

Machine Learning from First Principles, with PyTorch AutoDiff — Topic 66 of ML Foundations

Machine Learning from First Principles, with PyTorch AutoDiff — Topic 66 of ML Foundations

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

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

Automatic Differentiation with TensorFlow — Topic 64 of Machine Learning Foundations

Automatic Differentiation with TensorFlow — Topic 64 of Machine Learning Foundations

Machine Learning, Math, and Data Science — The Official Guide to my Channel

Machine Learning, Math, and Data Science — The Official Guide to my Channel

Automatic Differentiation with PyTorch — Topic 63 of Machine Learning Foundations

Automatic Differentiation with PyTorch — Topic 63 of Machine Learning Foundations

We're on Pause for Now! – A4N Ep 5

We're on Pause for Now! – A4N Ep 5

What Automatic Differentiation Is — Topic 62 of Machine Learning Foundations

What Automatic Differentiation Is — Topic 62 of Machine Learning Foundations

360-pound Back Squat: All-Time PR

360-pound Back Squat: All-Time PR

Automatic Differentiation – Segment 3 of Subject 3, "Limits & Derivatives" – ML Foundations

Automatic Differentiation – Segment 3 of Subject 3, "Limits & Derivatives" – ML Foundations

The Power Rule on a Function Chain — Topic 61 of Machine Learning Foundations

The Power Rule on a Function Chain — Topic 61 of Machine Learning Foundations

Advanced Exercises on Derivative Rules — Topic 60 of Machine Learning Foundations

Advanced Exercises on Derivative Rules — Topic 60 of Machine Learning Foundations

The Chain Rule for Derivatives — Topic 59 of Machine Learning Foundations

The Chain Rule for Derivatives — Topic 59 of Machine Learning Foundations

The Quotient Rule for Derivatives — Topic 58 of Machine Learning Foundations

The Quotient Rule for Derivatives — Topic 58 of Machine Learning Foundations

The Product Rule for Derivatives — Topic 57 of Machine Learning Foundations

The Product Rule for Derivatives — Topic 57 of Machine Learning Foundations

Exercises on Derivative Rules — Topic 56 of Machine Learning Foundations

Exercises on Derivative Rules — Topic 56 of Machine Learning Foundations

The Sum Rule for Derivatives — Topic 55 of Machine Learning Foundations

The Sum Rule for Derivatives — Topic 55 of Machine Learning Foundations

The Constant Multiple Rule for Derivatives — Topic 54 of Machine Learning Foundations

The Constant Multiple Rule for Derivatives — Topic 54 of Machine Learning Foundations

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

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

The Derivative of a Constant –Topic 52 of Machine Learning Foundations

The Derivative of a Constant –Topic 52 of Machine Learning Foundations

Derivative Notation — Topic 51 of Machine Learning Foundations

Derivative Notation — Topic 51 of Machine Learning Foundations

How Derivatives Arise from Limits – Topic 50 of Machine Learning Foundations

How Derivatives Arise from Limits – Topic 50 of Machine Learning Foundations

The Delta Method – Topic 49 of Machine Learning Foundations

The Delta Method – Topic 49 of Machine Learning Foundations

Derivatives and Differentiation — Segment 2 of Subject 3, "Limits & Derivatives" – ML Foundations

Derivatives and Differentiation — Segment 2 of Subject 3, "Limits & Derivatives" – ML Foundations

Exercises on Limits – Topic 48 of Machine Learning Foundations

Exercises on Limits – Topic 48 of Machine Learning Foundations

Calculating Limits – Topic 47 of Machine Learning Foundations

Calculating Limits – Topic 47 of Machine Learning Foundations

First 400-pound Deadlift

First 400-pound Deadlift

Calculus Applications – Topic 46 of Machine Learning Foundations

Calculus Applications – Topic 46 of Machine Learning Foundations

Calculus of the Infinitesimals – Topic 45 of Machine Learning Foundations

Calculus of the Infinitesimals – Topic 45 of Machine Learning Foundations

The Method of Exhaustion – Topic 44 of Machine Learning Foundations

The Method of Exhaustion – Topic 44 of Machine Learning Foundations

Intro to Integral Calculus –Topic 43 of Machine Learning Foundations

Intro to Integral Calculus –Topic 43 of Machine Learning Foundations

New Video Coming Soon!

New Video Coming Soon!

Intro to Differential Calculus —Topic 42 of Machine Learning Foundations

Intro to Differential Calculus —Topic 42 of Machine Learning Foundations

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

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

Singular Value Decomposition — Topic 35 of Machine Learning Foundations

Singular Value Decomposition — Topic 35 of Machine Learning Foundations

Linear Algebra Resources — Topic 41 of Machine Learning Foundations

Linear Algebra Resources — Topic 41 of Machine Learning Foundations

Principal Component Analysis (PCA) — Topic 40 of Machine Learning Foundations

Principal Component Analysis (PCA) — Topic 40 of Machine Learning Foundations

The Trace Operator — Topic 39 of Machine Learning Foundations

The Trace Operator — Topic 39 of Machine Learning Foundations

Regression with the Pseudoinverse — Topic 38 of Machine Learning Foundations

Regression with the Pseudoinverse — Topic 38 of Machine Learning Foundations

The Moore-Penrose Pseudoinverse — Topic 37 of Machine Learning Foundations

The Moore-Penrose Pseudoinverse — Topic 37 of Machine Learning Foundations

Data Compression with SVD — Topic 36 of Machine Learning Foundations

Data Compression with SVD — Topic 36 of Machine Learning Foundations

Matrix Operations for Machine Learning — Final Segment of Subject 2, "Linear Algebra II"

Matrix Operations for Machine Learning — Final Segment of Subject 2, "Linear Algebra II"

Please Nominate Me for Data Community Content Creator Awards :)

Please Nominate Me for Data Community Content Creator Awards :)

Eigenvector and Eigenvalue Applications — Topic 34 of Machine Learning Foundations

Eigenvector and Eigenvalue Applications — Topic 34 of Machine Learning Foundations

Eigendecomposition — Topic 33 of Machine Learning Foundations

Eigendecomposition — Topic 33 of Machine Learning Foundations

Determinants and Eigenvalues — Topic 32 of Machine Learning Foundations

Determinants and Eigenvalues — Topic 32 of Machine Learning Foundations

Determinant Exercises — Topic 31 of Machine Learning Foundations

Determinant Exercises — Topic 31 of Machine Learning Foundations

Determinants of Larger Matrices — Topic 30 of Machine Learning Foundations

Determinants of Larger Matrices — Topic 30 of Machine Learning Foundations

Matrix Determinants — Topic 29 of Machine Learning Foundations

Matrix Determinants — Topic 29 of Machine Learning Foundations

Affine Transformations — Topic 27 of Machine Learning Foundations

Affine Transformations — Topic 27 of Machine Learning Foundations

Eigenvectors and Eigenvalues — Topic 28 of Machine Learning Foundations

Eigenvectors and Eigenvalues — Topic 28 of Machine Learning Foundations

Applying Matrices — Topic 26 of Machine Learning Foundations

Applying Matrices — Topic 26 of Machine Learning Foundations

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

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

Orthogonal Matrix Exercises — Topic 25 of Machine Learning Foundations

Orthogonal Matrix Exercises — Topic 25 of Machine Learning Foundations

Visualizing Linear Systems — Machine Learning Foundations Bonus Video

Visualizing Linear Systems — Machine Learning Foundations Bonus Video

Plotting a System of Linear Equations — Machine Learning Foundations Bonus Video

Plotting a System of Linear Equations — Machine Learning Foundations Bonus Video

Orthogonal Matrices — Topic 24 of Machine Learning Foundations

Orthogonal Matrices — Topic 24 of Machine Learning Foundations

Diagonal Matrices — Topic 23 of Machine Learning Foundations

Diagonal Matrices — Topic 23 of Machine Learning Foundations

Matrix Inversion — Topic 22 of Machine Learning Foundations

Matrix Inversion — Topic 22 of Machine Learning Foundations

Matrix Multiplication Exercises — Topic 21 of Machine Learning Foundations

Matrix Multiplication Exercises — Topic 21 of Machine Learning Foundations

Symmetric and Identity Matrices — Topic 20 of Machine Learning Foundations

Symmetric and Identity Matrices — Topic 20 of Machine Learning Foundations

Matrix Multiplication — Topic 19 of Machine Learning Foundations

Matrix Multiplication — Topic 19 of Machine Learning Foundations

The Frobenius Norm — Topic 18 of Machine Learning Foundations

The Frobenius Norm — Topic 18 of Machine Learning Foundations

Matrix Properties — Final Segment of Subject 1, "Intro to Linear Algebra", ML Foundations

Matrix Properties — Final Segment of Subject 1, "Intro to Linear Algebra", ML Foundations

Solving Linear Systems with Substitution — Topic 16 of Machine Learning Foundations

Solving Linear Systems with Substitution — Topic 16 of Machine Learning Foundations

Solving Linear Systems with Elimination — Topic 17 of Machine Learning Foundations

Solving Linear Systems with Elimination — Topic 17 of Machine Learning Foundations

The Dot Product — Topic 14 of Machine Learning Foundations

The Dot Product — Topic 14 of Machine Learning Foundations

Exercises on Tensor Operations — Topic 15 of Machine Learning Foundations

Exercises on Tensor Operations — Topic 15 of Machine Learning Foundations

Tensor Reduction — Topic 13 of Machine Learning Foundations

Tensor Reduction — Topic 13 of Machine Learning Foundations

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

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

Tensor Transposition — Topic 11 of Machine Learning Foundations

Tensor Transposition — Topic 11 of Machine Learning Foundations

Tensor Operations — Segment 2 of Subject 1, "Intro to Linear Algebra", ML Foundations

Tensor Operations — Segment 2 of Subject 1, "Intro to Linear Algebra", ML Foundations

Exercises on Algebra Data Structures — Topic 10 of Machine Learning Foundations

Exercises on Algebra Data Structures — Topic 10 of Machine Learning Foundations

Generic Tensor Notation — Topic 9 of Machine Learning Foundations

Generic Tensor Notation — Topic 9 of Machine Learning Foundations

Matrix Tensors — Topic 8 of Machine Learning Foundations

Matrix Tensors — Topic 8 of Machine Learning Foundations

Basis, Orthogonal, and Orthonormal Vectors — Topic 7 of Machine Learning Foundations

Basis, Orthogonal, and Orthonormal Vectors — Topic 7 of Machine Learning Foundations

Norms and Unit Vectors — Topic 6 of Machine Learning Foundations

Norms and Unit Vectors — Topic 6 of Machine Learning Foundations

Vectors and Vector Transposition — Topic 5 of Machine Learning Foundations

Vectors and Vector Transposition — Topic 5 of Machine Learning Foundations

Automating Cancer Detection | Self-Driving Cars | A4N Episode 4

Automating Cancer Detection | Self-Driving Cars | A4N Episode 4

Scalars — Topic 4 of Machine Learning Foundations

Scalars — Topic 4 of Machine Learning Foundations

Tensors — Topic 3 of Machine Learning Foundations

Tensors — Topic 3 of Machine Learning Foundations

Linear Algebra Exercise — Topic 2 of Machine Learning Foundations

Linear Algebra Exercise — Topic 2 of Machine Learning Foundations

What Linear Algebra Is — Topic 1 of Machine Learning Foundations

What Linear Algebra Is — Topic 1 of Machine Learning Foundations

Machine Learning Foundations: Welcome to the Journey

Machine Learning Foundations: Welcome to the Journey

SuperDataScience | Saving the Oceans with AI | A4N Episode 3

SuperDataScience | Saving the Oceans with AI | A4N Episode 3

Announcing the Machine Learning Foundations Tutorial Series

Announcing the Machine Learning Foundations Tutorial Series

Tackling Coronaviruses with Machine Learning - A4N Episode 2

Tackling Coronaviruses with Machine Learning - A4N Episode 2

The Central Limit Theorem – With Examples in Python

The Central Limit Theorem – With Examples in Python

Cheating by H2O.ai in Kaggle Competition – A4N Episode 1, Part 2 of 4

Cheating by H2O.ai in Kaggle Competition – A4N Episode 1, Part 2 of 4

How to Become (or Hire) an A.I. Researcher – A4N Episode 1, Part 4 of 4

How to Become (or Hire) an A.I. Researcher – A4N Episode 1, Part 4 of 4

AlphaFold, a Record Crushing Algorithm – A4N Episode 1, Part 3 of 4

AlphaFold, a Record Crushing Algorithm – A4N Episode 1, Part 3 of 4

Real-Time Facial Recognition by London Police – A4N Episode 1, Part 1 of 4

Real-Time Facial Recognition by London Police – A4N Episode 1, Part 1 of 4

Big O Notation — with Examples in Python

Big O Notation — with Examples in Python

Deep Learning Illustrated Book Launch (Oct 2, 2019)

Deep Learning Illustrated Book Launch (Oct 2, 2019)