Foundations

ML Fundamentals

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

8500
lessons
Getting ready to learn Python, Windows edition #6: pip for package management
📐 ML Fundamentals
Getting ready to learn Python, Windows edition #6: pip for package management
Brandon Rohrer Beginner 5y ago
How to get software engineering internship | How to get programming Job
📐 ML Fundamentals
How to get software engineering internship | How to get programming Job
codebasics Beginner 5y ago
Getting ready to learn Python, Mac edition #7: Build repositories with git
📐 ML Fundamentals
Getting ready to learn Python, Mac edition #7: Build repositories with git
Brandon Rohrer Beginner 5y ago
Program Correctness - Computerphile
📐 ML Fundamentals
Program Correctness - Computerphile
Computerphile Beginner 5y ago
Credit Risk Modeling in Python Course
📐 ML Fundamentals
Credit Risk Modeling in Python Course
365 Data Science Beginner 5y ago
10 things I'm grateful for this Thanksgiving
📐 ML Fundamentals
10 things I'm grateful for this Thanksgiving
Lex Fridman Beginner 5y ago
Solving Nintendo HireMe!!! with "Basic" Math
📐 ML Fundamentals
Solving Nintendo HireMe!!! with "Basic" Math
LiveOverflow Beginner 5y ago
Level Up Your Data Science Skills #shorts
📐 ML Fundamentals
Level Up Your Data Science Skills #shorts
Data Professor Beginner 5y ago
Machine Learning Tutorial Python - 17: L1 and L2 Regularization | Lasso, Ridge Regression
📐 ML Fundamentals
Machine Learning Tutorial Python - 17: L1 and L2 Regularization | Lasso, Ridge Regression
codebasics Beginner 5y ago
W&B Reports: Take notes, save snapshots, and collaborate on ML projects
📐 ML Fundamentals
W&B Reports: Take notes, save snapshots, and collaborate on ML projects
Weights & Biases Beginner 5y ago
Ep#4 - Are Privacy-enchancing technologies a myth?
📐 ML Fundamentals
Ep#4 - Are Privacy-enchancing technologies a myth?
MLOps.community Beginner 5y ago
Private AI Education Series Announcement | PyTorch Developer Day 2020
📐 ML Fundamentals
Private AI Education Series Announcement | PyTorch Developer Day 2020
PyTorch Beginner 5y ago
PyTorch/XLA Internal | PyTorch Developer Day 2020
📐 ML Fundamentals
PyTorch/XLA Internal | PyTorch Developer Day 2020
PyTorch Beginner 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
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
Supervised vs Unsupervised vs Reinforcement Learning | Machine Learning Tutorial | Simplilearn
6:27
📐 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
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
Getting ready to learn Python, Mac edition #6: Download packages with pip
📐 ML Fundamentals
Getting ready to learn Python, Mac edition #6: Download packages with pip
Brandon Rohrer Beginner 5y ago
MLPerf & PyTorch | PyTorch Developer Day 2020
📐 ML Fundamentals
MLPerf & PyTorch | PyTorch Developer Day 2020
PyTorch Beginner 5y ago
Model Interpretability | PyTorch Developer Day 2020
📐 ML Fundamentals
Model Interpretability | PyTorch Developer Day 2020
PyTorch Beginner 5y ago
Torch for R & Hasktorch: Bringing Torch to New Programming Languages | PyTorch Developer Day 2020
📐 ML Fundamentals
Torch for R & Hasktorch: Bringing Torch to New Programming Languages | PyTorch Developer Day 2020
PyTorch Beginner 5y ago
PyTorch on Windows | PyTorch Developer Day 2020
📐 ML Fundamentals
PyTorch on Windows | PyTorch Developer Day 2020
PyTorch 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
Transfer Learning | Deep Learning Tutorial 27 (Tensorflow, Keras & Python)
📐 ML Fundamentals
Transfer Learning | Deep Learning Tutorial 27 (Tensorflow, Keras & Python)
codebasics 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
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
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
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
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
📚 Coursera Courses Opens on Coursera · Free to audit
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Machine Learning Foundations for Product Managers
📚 Coursera Course ↗
Self-paced
Machine Learning Foundations for Product Managers
Opens on Coursera ↗
Evaluate Vision Errors: Identify Failure Patterns
📚 Coursera Course ↗
Self-paced
Evaluate Vision Errors: Identify Failure Patterns
Opens on Coursera ↗
Algoritmos de negociación basados en machine learning​
📚 Coursera Course ↗
Self-paced
Algoritmos de negociación basados en machine learning​
Opens on Coursera ↗
Deep Learning with PyTorch : Siamese Network
📚 Coursera Course ↗
Self-paced
Deep Learning with PyTorch : Siamese Network
Opens on Coursera ↗
Machine Learning - Anomaly Detection via PyCaret
📚 Coursera Course ↗
Self-paced
Machine Learning - Anomaly Detection via PyCaret
Opens on Coursera ↗
Building Regression Models with Linear Algebra
📚 Coursera Course ↗
Self-paced
Building Regression Models with Linear Algebra
Opens on Coursera ↗