📐 ML Fundamentals

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

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High-Level API for Autograd | PyTorch Developer Day 2020

ML Fundamentals

High-Level API for Autograd | PyTorch Developer Day 2020

PyTorch Intermediate 5y ago

Complex Numbers in PyTorch | PyTorch Developer Day 2020

ML Fundamentals

Complex Numbers in PyTorch | PyTorch Developer Day 2020

PyTorch Intermediate 5y ago

SVM (The Math) : Data Science Concepts

ML Fundamentals

SVM (The Math) : Data Science Concepts

ritvikmath Intermediate 5y ago

W&B Deep Learning Salon - SafeLife & DeepForm

ML Fundamentals

W&B Deep Learning Salon - SafeLife & DeepForm

Weights & Biases Beginner 5y ago

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

ML Fundamentals

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

Sebastian Raschka Beginner 5y ago

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

ML Fundamentals

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

Sebastian Raschka Beginner 5y ago

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

ML Fundamentals

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

1littlecoder Beginner 5y ago

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

ML Fundamentals

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

365 Data Science Beginner 5y ago

Support Vector Machines : Data Science Concepts

ML Fundamentals

Support Vector Machines : Data Science Concepts

ritvikmath Beginner 5y ago

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

ML Fundamentals

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

codebasics Beginner 5y ago

Kite: Free AI Coding Assistant + Giveaway

ML Fundamentals

Kite: Free AI Coding Assistant + Giveaway

Data Professor Beginner 5y ago

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

ML Fundamentals

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

StatQuest with Josh Starmer Beginner 5y ago

Leaf Disease Classification Using PyTorch

ML Fundamentals

Leaf Disease Classification Using PyTorch

Abhishek Thakur Beginner 5y ago

Build Your Own PyTorch Trainer!

ML Fundamentals

Build Your Own PyTorch Trainer!

Abhishek Thakur Beginner 5y ago

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

ML Fundamentals

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

Krish Naik Intermediate 5y ago

Peter Norvig – Singularity Is in the Eye of the Beholder

ML Fundamentals

Peter Norvig – Singularity Is in the Eye of the Beholder

Weights & Biases Beginner 5y ago

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

ML Fundamentals

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

Simplilearn Beginner 5y ago

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

ML Fundamentals

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

Krish Naik Beginner 5y ago

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

ML Fundamentals

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

codebasics Beginner 5y ago

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

ML Fundamentals

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

DeepLearningAI Beginner 5y ago

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

ML Fundamentals

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

365 Data Science Beginner 5y ago

Youth Setting the Agenda - Food and Agriculture

ML Fundamentals

Youth Setting the Agenda - Food and Agriculture

Saïd Business School, University of Oxford Intermediate 5y ago

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

ML Fundamentals

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

NVIDIA Developer Advanced 5y ago

Impute missing values using KNNImputer or IterativeImputer

ML Fundamentals

Impute missing values using KNNImputer or IterativeImputer

Data School Beginner 5y ago

Cheap talk? Living up to the Business Roundtable Statement

ML Fundamentals

Cheap talk? Living up to the Business Roundtable Statement

Saïd Business School, University of Oxford Intermediate 5y ago

Build a Voice Assistant using Javascript w/Tensorflow | For Beginners

ML Fundamentals

Build a Voice Assistant using Javascript w/Tensorflow | For Beginners

CoderOne Beginner 5y ago

Getting ready to learn Python, Windows edition #5: Writing and running Python program

ML Fundamentals

Getting ready to learn Python, Windows edition #5: Writing and running Python program

Brandon Rohrer Beginner 5y ago

Getting ready to learn Python, Windows edition #4: Installing and running Python

ML Fundamentals

Getting ready to learn Python, Windows edition #4: Installing and running Python

Brandon Rohrer Beginner 5y ago

Open Challenges in Deep Learning Systems | PyTorch Developer Day 2020

ML Fundamentals

Open Challenges in Deep Learning Systems | PyTorch Developer Day 2020

PyTorch Beginner 5y ago

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

ML Fundamentals

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

Sebastian Raschka Beginner 5y ago

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

ML Fundamentals

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

Sebastian Raschka Beginner 5y ago

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

ML Fundamentals

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

Sebastian Raschka Beginner 5y ago

11.1 Lecture Overview (L11 Model Eval. Part 4)

ML Fundamentals

11.1 Lecture Overview (L11 Model Eval. Part 4)

Sebastian Raschka Beginner 5y ago

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

ML Fundamentals

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

Sebastian Raschka Beginner 5y ago

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

ML Fundamentals

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

Sebastian Raschka Beginner 5y ago

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

ML Fundamentals

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

Sebastian Raschka Beginner 5y ago

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

ML Fundamentals

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

Sebastian Raschka Beginner 5y ago

🏺 Version Control Data and Models with W&B Artifacts

ML Fundamentals

🏺 Version Control Data and Models with W&B Artifacts

Weights & Biases Intermediate 5y ago

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

ML Fundamentals

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

Sebastian Raschka Beginner 5y ago

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

ML Fundamentals

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

Sebastian Raschka Beginner 5y ago

10.2 Hyperparameters (L10: Model Evaluation 3)

ML Fundamentals

10.2 Hyperparameters (L10: Model Evaluation 3)

Sebastian Raschka Beginner 5y ago

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

ML Fundamentals

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

Sebastian Raschka Beginner 5y ago

AdaBoost : Data Science Concepts

ML Fundamentals

AdaBoost : Data Science Concepts

ritvikmath Intermediate 5y ago

Debug your YOLOv5 experiments with Weights & Biases

ML Fundamentals

Debug your YOLOv5 experiments with Weights & Biases

Weights & Biases Advanced 5y ago

Loss Functions : Data Science Basics

ML Fundamentals

Loss Functions : Data Science Basics

ritvikmath Beginner 5y ago

Ineuron's Detailed Course Content Discussion Of ML And DL- Affordable AI Education

ML Fundamentals

Ineuron's Detailed Course Content Discussion Of ML And DL- Affordable AI Education

Krish Naik Intermediate 5y ago

Getting ready to learn Python, Windows edition #3: Creating and editing text files

ML Fundamentals

Getting ready to learn Python, Windows edition #3: Creating and editing text files

Brandon Rohrer Beginner 5y ago

Getting ready to learn Python, Windows edition #2: The command prompt

ML Fundamentals

Getting ready to learn Python, Windows edition #2: The command prompt

Brandon Rohrer Beginner 5y ago