📐 ML Fundamentals

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

All ▶ YouTube 200,854 📚 Coursera 18,165 🎤 TED 1

Image classification using CNN (CIFAR10 dataset) | Deep Learning Tutorial 24 (Tensorflow & Python)

ML Fundamentals

Image classification using CNN (CIFAR10 dataset) | Deep Learning Tutorial 24 (Tensorflow & Python)

codebasics Beginner 5y ago

Tutorial 1- Introduction To Julia Programming Language For Machine Learning

ML Fundamentals

Tutorial 1- Introduction To Julia Programming Language For Machine Learning

Krish Naik Beginner 5y ago

#TWIMLfest: AI in the Fight Against Climate Change

ML Fundamentals

#TWIMLfest: AI in the Fight Against Climate Change

The TWIML AI Podcast with Sam Charrington Beginner 5y ago

#TWIMLfest: Fundamentals of Medical Image Processing for Deep Learning

ML Fundamentals

#TWIMLfest: Fundamentals of Medical Image Processing for Deep Learning

The TWIML AI Podcast with Sam Charrington Beginner 5y ago

TensorFlow Tutorial 10 - Recurrent Neural Nets (RNN & LSTM & GRU)

ML Fundamentals

TensorFlow Tutorial 10 - Recurrent Neural Nets (RNN & LSTM & GRU)

Patrick Loeber Beginner 5y ago

TensorDash- How To Monitor Your Deep Learning Model Metrics, Loss, Accuracy Using Mobile App

ML Fundamentals

TensorDash- How To Monitor Your Deep Learning Model Metrics, Loss, Accuracy Using Mobile App

Krish Naik Intermediate 5y ago

Transport Layer Security (TLS) - Computerphile

ML Fundamentals

Transport Layer Security (TLS) - Computerphile

Computerphile Beginner 5y ago

1. What Makes Healthcare Unique?

ML Fundamentals

1. What Makes Healthcare Unique?

MIT OpenCourseWare Beginner 5y ago

3. Deep Dive Into Clinical Data

ML Fundamentals

3. Deep Dive Into Clinical Data

MIT OpenCourseWare Beginner 5y ago

U Caldas | Coursera for Campus #LearnerStories

ML Fundamentals

U Caldas | Coursera for Campus #LearnerStories

Coursera Beginner 5y ago

Use "fit_transform" on training data, but "transform" (only) on testing/new data

ML Fundamentals

Use "fit_transform" on training data, but "transform" (only) on testing/new data

Data School Beginner 5y ago

7.4 Boosting and AdaBoost (L07: Ensemble Methods)

ML Fundamentals

7.4 Boosting and AdaBoost (L07: Ensemble Methods)

Sebastian Raschka Beginner 5y ago

NVIDIA Broadcast App: AI-based application for streaming / broadcasting / meeting (all features)

ML Fundamentals

NVIDIA Broadcast App: AI-based application for streaming / broadcasting / meeting (all features)

Abhishek Thakur Beginner 5y ago

Touch - Less by Anders Jessen - Made with TensorFlow.js

ML Fundamentals

Touch - Less by Anders Jessen - Made with TensorFlow.js

TensorFlow Intermediate 5y ago

Granger Causality in Python : Data Science Code

ML Fundamentals

Granger Causality in Python : Data Science Code

ritvikmath Advanced 5y ago

7.3 Bagging (L07: Ensemble Methods)

ML Fundamentals

7.3 Bagging (L07: Ensemble Methods)

Sebastian Raschka Beginner 5y ago

Cross Validation : Data Science Concepts

ML Fundamentals

Cross Validation : Data Science Concepts

ritvikmath Intermediate 5y ago

Neural Networks Pt. 2: Backpropagation Main Ideas

ML Fundamentals

Neural Networks Pt. 2: Backpropagation Main Ideas

StatQuest with Josh Starmer Beginner 5y ago

Daeil Kim — The Unreasonable Effectiveness of Synthetic Data

ML Fundamentals

Daeil Kim — The Unreasonable Effectiveness of Synthetic Data

Weights & Biases Beginner 5y ago

#TWIMLfest: Show & Tell: Art Training: How Artistic Practices Can Adopt Machine Learning

ML Fundamentals

#TWIMLfest: Show & Tell: Art Training: How Artistic Practices Can Adopt Machine Learning

The TWIML AI Podcast with Sam Charrington Beginner 5y ago

13. Machine Learning for Mammography

ML Fundamentals

13. Machine Learning for Mammography

MIT OpenCourseWare Beginner 5y ago

21. Automating Clinical Work Flows

ML Fundamentals

21. Automating Clinical Work Flows

MIT OpenCourseWare Beginner 5y ago

19. Disease Progression Modeling and Subtyping, Part 2

ML Fundamentals

19. Disease Progression Modeling and Subtyping, Part 2

MIT OpenCourseWare Beginner 5y ago

14. Causal Inference, Part 1

ML Fundamentals

14. Causal Inference, Part 1

MIT OpenCourseWare Beginner 5y ago

20. Precision Medicine

ML Fundamentals

20. Precision Medicine

MIT OpenCourseWare Beginner 5y ago

8. Natural Language Processing (NLP), Part 2

ML Fundamentals

8. Natural Language Processing (NLP), Part 2

MIT OpenCourseWare Beginner 5y ago

25. Interpretability

ML Fundamentals

25. Interpretability

MIT OpenCourseWare Beginner 5y ago

ML Fundamentals

MIT OpenCourseWare Beginner 5y ago

15. Causal Inference, Part 2

ML Fundamentals

15. Causal Inference, Part 2

MIT OpenCourseWare Beginner 5y ago

2. Overview of Clinical Care

ML Fundamentals

2. Overview of Clinical Care

MIT OpenCourseWare Beginner 5y ago

7. Natural Language Processing (NLP), Part 1

ML Fundamentals

7. Natural Language Processing (NLP), Part 1

MIT OpenCourseWare Beginner 5y ago

12. Machine Learning for Pathology

ML Fundamentals

12. Machine Learning for Pathology

MIT OpenCourseWare Beginner 5y ago

11. Differential Diagnosis

ML Fundamentals

11. Differential Diagnosis

MIT OpenCourseWare Beginner 5y ago

16. Reinforcement Learning, Part 1

ML Fundamentals

16. Reinforcement Learning, Part 1

MIT OpenCourseWare Beginner 5y ago

9. Translating Technology Into the Clinic

ML Fundamentals

9. Translating Technology Into the Clinic

MIT OpenCourseWare Beginner 5y ago

4. Risk Stratification, Part 1

ML Fundamentals

4. Risk Stratification, Part 1

MIT OpenCourseWare Beginner 5y ago

6. Physiological Time-Series

ML Fundamentals

6. Physiological Time-Series

MIT OpenCourseWare Beginner 5y ago

5. Risk Stratification, Part 2

ML Fundamentals

5. Risk Stratification, Part 2

MIT OpenCourseWare Beginner 5y ago

18. Disease Progression Modeling and Subtyping, Part 1

ML Fundamentals

18. Disease Progression Modeling and Subtyping, Part 1

MIT OpenCourseWare Beginner 5y ago

17. Reinforcement Learning, Part 2

ML Fundamentals

17. Reinforcement Learning, Part 2

MIT OpenCourseWare Beginner 5y ago

10. Application of Machine Learning to Cardiac Imaging

ML Fundamentals

10. Application of Machine Learning to Cardiac Imaging

MIT OpenCourseWare Intermediate 5y ago

Google Datasets Search Engine- Search All Datasets From One Place For Data Science,Machine Learning

ML Fundamentals

Google Datasets Search Engine- Search All Datasets From One Place For Data Science,Machine Learning

Krish Naik Beginner 5y ago

7.2 Majority Voting (L07: Ensemble Methods)

ML Fundamentals

7.2 Majority Voting (L07: Ensemble Methods)

Sebastian Raschka Beginner 5y ago

Top 5 Programming Languages For Data Science In 2020

ML Fundamentals

Top 5 Programming Languages For Data Science In 2020

Krish Naik Intermediate 5y ago

7.1 Intro to ensemble methods (L07: Ensemble Methods)

ML Fundamentals

7.1 Intro to ensemble methods (L07: Ensemble Methods)

Sebastian Raschka Beginner 5y ago

Xgboost Regression In-Depth Intuition Explained- Machine Learning Algorithms 🔥🔥🔥🔥

ML Fundamentals

Xgboost Regression In-Depth Intuition Explained- Machine Learning Algorithms 🔥🔥🔥🔥

Krish Naik Beginner 5y ago

How to Prepare For Deep Learning Interviews- Important Interview Questions in ANN-Part 1🔥🔥🔥🔥

ML Fundamentals

How to Prepare For Deep Learning Interviews- Important Interview Questions in ANN-Part 1🔥🔥🔥🔥

Krish Naik Intermediate 5y ago

Live - Understanding About GPU's- CPU VS GPU- Which GPU We Should Buy?

ML Fundamentals

Live - Understanding About GPU's- CPU VS GPU- Which GPU We Should Buy?

Krish Naik Intermediate 5y ago

📚 Coursera Courses Opens on Coursera · Free to audit

View all →

Deep Learning - Artificial Neural Networks with TensorFlow

📚 Coursera Course ↗

Deep Learning - Artificial Neural Networks with TensorFlow

Opens on Coursera ↗

Introduction to AI and Machine Learning

📚 Coursera Course ↗

Introduction to AI and Machine Learning

Opens on Coursera ↗

Deep Learning with PyTorch : Object Localization

📚 Coursera Course ↗

Deep Learning with PyTorch : Object Localization

Opens on Coursera ↗

📚 Coursera Course ↗

Start Neural Networks Advanced Model Architectures

Opens on Coursera ↗

Machine Learning for Computer Vision

📚 Coursera Course ↗

Machine Learning for Computer Vision

Opens on Coursera ↗

📚 Coursera Course ↗

Using BigQuery Machine Learning for inference

Opens on Coursera ↗

Deep Learning with ANN in Python: Build & Optimize

📚 Coursera Course ↗

Deep Learning with ANN in Python: Build & Optimize

Opens on Coursera ↗

Recommender Systems: An Applied Approach using Deep Learning

📚 Coursera Course ↗

Recommender Systems: An Applied Approach using Deep Learning

Opens on Coursera ↗

Foundations of Data Science and Machine Learning with Python

📚 Coursera Course ↗

Foundations of Data Science and Machine Learning with Python

Opens on Coursera ↗

SPSS: Apply & Evaluate Cluster Analysis Techniques

📚 Coursera Course ↗

SPSS: Apply & Evaluate Cluster Analysis Techniques

Opens on Coursera ↗

Introduction to Medical Software

📚 Coursera Course ↗

Introduction to Medical Software

Opens on Coursera ↗

Optimize and Deploy Edge AI Models

📚 Coursera Course ↗

Optimize and Deploy Edge AI Models

Opens on Coursera ↗

Análisis exploratorio de datos con Python y Pandas

📚 Coursera Course ↗

Análisis exploratorio de datos con Python y Pandas

Opens on Coursera ↗

📚 Coursera Course ↗

Mendeploy dan Menskalakan Model AI dengan Cloud Run

Opens on Coursera ↗

Fundamentals of CNNs and RNNs

📚 Coursera Course ↗

Fundamentals of CNNs and RNNs

Opens on Coursera ↗

📚 Coursera Course ↗

Practical Machine Learning without Coding

Opens on Coursera ↗

Machine/Deep Learning for Mining Quality Prediction-Enhanced

📚 Coursera Course ↗

Machine/Deep Learning for Mining Quality Prediction-Enhanced

Opens on Coursera ↗

Mathematics for Engineers: The Capstone Course

📚 Coursera Course ↗

Mathematics for Engineers: The Capstone Course

Opens on Coursera ↗