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📐 ML Fundamentals

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

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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 ⚡ AI Lesson
19. Disease Progression Modeling and Subtyping, Part 2
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
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
7.4 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 ⚡ AI Lesson
Touch - Less by Anders Jessen - Made with TensorFlow.js
TensorFlow Intermediate 5y ago
Granger Causality in Python : Data Science Code
ML Fundamentals ⚡ AI Lesson
Granger Causality in Python : Data Science Code
ritvikmath Advanced 5y ago
Practical Deep Learning for Coders - Full Course from fast.ai and Jeremy Howard
ML Fundamentals
Practical Deep Learning for Coders - Full Course from fast.ai and Jeremy Howard
freeCodeCamp.org Beginner 5y ago
7.3 Bagging (L07: Ensemble Methods)
ML Fundamentals
7.3 Bagging (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
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 ⚡ AI Lesson
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
5 Machine Learning BEGINNER Projects (+ Datasets & Solutions)
ML Fundamentals
5 Machine Learning BEGINNER Projects (+ Datasets & Solutions)
Patrick Loeber Beginner 5y ago
Getting ready to learn Python, Mac edition #2: Navigating from the command line
ML Fundamentals
Getting ready to learn Python, Mac edition #2: Navigating from the command line
Brandon Rohrer Beginner 5y ago
Getting ready to learn Python, Mac edition #1: Files and directories
ML Fundamentals
Getting ready to learn Python, Mac edition #1: Files and directories
Brandon Rohrer Beginner 5y ago
Introduction to Stacks and Queues (Data Structures & Algorithms #12)
ML Fundamentals
Introduction to Stacks and Queues (Data Structures & Algorithms #12)
CS Dojo Beginner 5y ago
Jetson AI Fundamentals - S2E3 - JetBot Collision Avoidance
ML Fundamentals ⚡ AI Lesson
Jetson AI Fundamentals - S2E3 - JetBot Collision Avoidance
NVIDIA Developer Beginner 5y ago
Seven ways to select columns using ColumnTransformer
ML Fundamentals
Seven ways to select columns using ColumnTransformer
Data School Beginner 5y ago
Fireside Chat: Jeff Maggioncalda, CEO, Coursera and Professor Anju Seth, Director, IIM Calcutta
ML Fundamentals
Fireside Chat: Jeff Maggioncalda, CEO, Coursera and Professor Anju Seth, Director, IIM Calcutta
Coursera 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
23. Fairness
ML Fundamentals
23. Fairness
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 ⚡ AI Lesson
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 ⚡ AI Lesson
17. Reinforcement Learning, Part 2
MIT OpenCourseWare Beginner 5y ago
10. Application of Machine Learning to Cardiac Imaging
ML Fundamentals ⚡ AI Lesson
10. Application of Machine Learning to Cardiac Imaging
MIT OpenCourseWare Intermediate 5y ago
7.2 Majority Voting (L07: Ensemble Methods)
ML Fundamentals
7.2 Majority Voting (L07: Ensemble Methods)
Sebastian Raschka Beginner 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
6.7 Code Example Implementing Decision Trees in Scikit-Learn (L06: Decision Trees)
ML Fundamentals
6.7 Code Example Implementing Decision Trees in Scikit-Learn (L06: Decision Trees)
Sebastian Raschka Beginner 5y ago
6.6 Improvements & dealing with overfitting (L06: Decision Trees)
ML Fundamentals
6.6 Improvements & dealing with overfitting (L06: Decision Trees)
Sebastian Raschka Beginner 5y ago
6.5 Gini & Entropy versus misclassification error (L06: Decision Trees)
ML Fundamentals
6.5 Gini & Entropy versus misclassification error (L06: Decision Trees)
Sebastian Raschka Beginner 5y ago
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Data Science Decisions in Time: Using Causal Information
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Self-paced
Data Science Decisions in Time: Using Causal Information
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Présentation de l'IA et du machine learning sur Google Cloud
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Self-paced
Présentation de l'IA et du machine learning sur Google Cloud
Opens on Coursera ↗
Machine Learning and Emerging Technologies in Cybersecurity
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Self-paced
Machine Learning and Emerging Technologies in Cybersecurity
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Debug Neural Networks: Analyze Training Dynamics
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Self-paced
Debug Neural Networks: Analyze Training Dynamics
Opens on Coursera ↗
AI-First Test Automation with Functionize Essentials
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Self-paced
AI-First Test Automation with Functionize Essentials
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Managing Machine Learning Projects
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Self-paced
Managing Machine Learning Projects
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