📐 ML Fundamentals

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

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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

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

Clinical Research with FHIR

ML Fundamentals ⚡ AI Lesson

Clinical Research with FHIR

Microsoft Research Beginner 5y ago

YogAI: TensorFlow powered yoga instructor - Made with TensorFlow.js

ML Fundamentals ⚡ AI Lesson

YogAI: TensorFlow powered yoga instructor - Made with TensorFlow.js

TensorFlow Beginner 5y ago

Neural Networks are for Type-Casting with Charles Frye

ML Fundamentals ⚡ AI Lesson

Neural Networks are for Type-Casting with Charles Frye

Weights & Biases Beginner 5y ago

What is stemming and lemmatization?

ML Fundamentals ⚡ AI Lesson

What is stemming and lemmatization?

Abhishek Thakur 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

Jesse Mu on Explaining Neurons Compositionally

ML Fundamentals ⚡ AI Lesson

Jesse Mu on Explaining Neurons Compositionally

Weights & Biases Beginner 5y ago

Why Automation Will Not Kill Data Science Jobs?

ML Fundamentals

Why Automation Will Not Kill Data Science Jobs?

Krish Naik Intermediate 5y ago

W&B Deep Learning Salon - Jesse Mu and Charles Frye

ML Fundamentals

W&B Deep Learning Salon - Jesse Mu and Charles Frye

Weights & Biases Beginner 5y ago