📐 ML Fundamentals

Neural networks, backpropagation, gradient descent — the maths behind AI

ML Fundamentals

PyTorch/XLA Internal | PyTorch Developer Day 2020

PyTorch Beginner 5y ago

ML Fundamentals

MLPerf & PyTorch | PyTorch Developer Day 2020

PyTorch Beginner 5y ago

ML Fundamentals

SVM (The Math) : Data Science Concepts

ritvikmath Intermediate 5y ago

ML Fundamentals ⚡ AI Lesson

W&B Deep Learning Salon - SafeLife & DeepForm

Weights & Biases Beginner 5y ago

ML Fundamentals

11.6 Nested CV for Algorithm Selection Code Example (L11 Model Eval. Part 4)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

11.5 Nested CV for Algorithm Selection (L11 Model Eval. Part 4)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

create-ml-app - Machine Learning Project Template that Handle Dependencies

1littlecoder Beginner 5y ago

ML Fundamentals

Data Science and Predictive Vehicle Maintenance with Jen | 365 Data Use Cases

365 Data Science Beginner 5y ago

ML Fundamentals

Support Vector Machines : Data Science Concepts

ritvikmath Beginner 5y ago

ML Fundamentals

Transfer Learning | Deep Learning Tutorial 27 (Tensorflow, Keras & Python)

codebasics Beginner 5y ago

ML Fundamentals

Kite: Free AI Coding Assistant + Giveaway

Data Professor Beginner 5y ago

ML Fundamentals

Neural Networks Pt. 3: ReLU In Action!!!

StatQuest with Josh Starmer Beginner 5y ago

ML Fundamentals

Leaf Disease Classification Using PyTorch

Abhishek Thakur Beginner 5y ago

ML Fundamentals

PyTorch Basics and Gradient Descent | Deep Learning with PyTorch: Zero to GANs | Part 1 of 6

freeCodeCamp.org Beginner 5y ago

ML Fundamentals

Build Your Own PyTorch Trainer!

Abhishek Thakur Beginner 5y ago

ML Fundamentals

Handling Imbalanced Dataset Using Cost Sensitive Neural Networks- Credit Card Fraud Detection

Krish Naik Intermediate 5y ago

ML Fundamentals

Peter Norvig – Singularity Is in the Eye of the Beholder

Weights & Biases Beginner 5y ago

6:27

ML Fundamentals ⚡ AI Lesson

Supervised vs Unsupervised vs Reinforcement Learning | Machine Learning Tutorial | Simplilearn

Simplilearn Beginner 5y ago

ML Fundamentals

Ineuron's Affordable BI And ML DL Course With Remote Internship From 21st November

Krish Naik Beginner 5y ago

ML Fundamentals

Convert python file to exe in less than 2 minutes (.py to .exe)

codebasics Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

Break into AI: I took an online course, what's next?

DeepLearningAI Beginner 5y ago

ML Fundamentals

Data Science and Employee Productivity with Nicki | 365 Data Use Cases

365 Data Science Beginner 5y ago

ML Fundamentals

How to Perform Large-Scale Image Classification | Grandmaster Series E2

NVIDIA Developer Advanced 5y ago

ML Fundamentals

Impute missing values using KNNImputer or IterativeImputer

Data School Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

DeepSpeed | PyTorch Developer Day 2020

PyTorch Advanced 5y ago

ML Fundamentals

Model Interpretability | PyTorch Developer Day 2020

PyTorch Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

Torch for R & Hasktorch: Bringing Torch to New Programming Languages | PyTorch Developer Day 2020

PyTorch Beginner 5y ago

ML Fundamentals

PyTorch Mobile and Android Neural Networks API | PyTorch Developer Day 2020

PyTorch Intermediate 5y ago

ML Fundamentals

PyTorch on Windows | PyTorch Developer Day 2020

PyTorch Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

TorchAudio | PyTorch Developer Day 2020

PyTorch Intermediate 5y ago

ML Fundamentals

High-Level API for Autograd | PyTorch Developer Day 2020

PyTorch Intermediate 5y ago

ML Fundamentals

Complex Numbers in PyTorch | PyTorch Developer Day 2020

PyTorch Intermediate 5y ago

ML Fundamentals

Open Challenges in Deep Learning Systems | PyTorch Developer Day 2020

PyTorch Beginner 5y ago

ML Fundamentals

11.4 Statistical Tests for Algorithm Comparison (L11 Model Eval. Part 4)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

11.3 Multiple Pairwise Comparisons (L11 Model Eval. Part 4)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

11.2 McNemar's Test for Pairwise Classifier Comparison (L11 Model Eval. Part 4)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

11.1 Lecture Overview (L11 Model Eval. Part 4)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

10.8 K-fold CV 1-Standard Error Method -- Code Example (L10: Model Evaluation 3)

Sebastian Raschka Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

10.7 K-fold CV 1-Standard Error Method (L10: Model Evaluation 3)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

10.6 K-fold CV for Model Evaluation -- Code Examples (L10: Model Evaluation 3)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

10.5 K-fold CV for Model Selection (L10: Model Evaluation 3)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

🏺 Version Control Data and Models with W&B Artifacts

Weights & Biases Intermediate 5y ago

ML Fundamentals ⚡ AI Lesson

10.4 K-fold CV for Model Evaluation -- Code Examples (L10: Model Evaluation 3)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

10.3 K-fold CV for Model Evaluation (L10: Model Evaluation 3)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

10.2 Hyperparameters (L10: Model Evaluation 3)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

10.1 Cross-validation Lecture Overview (L10: Model Evaluation 3)

Sebastian Raschka Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

AdaBoost : Data Science Concepts

ritvikmath Intermediate 5y ago

ML Fundamentals ⚡ AI Lesson

Debug your YOLOv5 experiments with Weights & Biases

Weights & Biases Advanced 5y ago