📐 ML Fundamentals

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

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7.5 Gradient Boosting (L07: Ensemble Methods)

ML Fundamentals

7.5 Gradient Boosting (L07: Ensemble Methods)

Sebastian Raschka Beginner 5y ago

Richard Craib on seeking alpha and building the last hedge fund at Numerai

ML Fundamentals

Richard Craib on seeking alpha and building the last hedge fund at Numerai

Weights & Biases Beginner 5y ago

Class 1: Intro and Key Technological Trends Affecting Financial Services

ML Fundamentals

Class 1: Intro and Key Technological Trends Affecting Financial Services

MIT OpenCourseWare Beginner 5y ago

Class 3: Artificial Intelligence in Finance

ML Fundamentals

Class 3: Artificial Intelligence in Finance

MIT OpenCourseWare Beginner 5y ago

Data Science and Spend Data Classification with Susan | 365 Data Use Cases

ML Fundamentals

Data Science and Spend Data Classification with Susan | 365 Data Use Cases

365 Data Science Beginner 5y ago

Four reasons to use scikit-learn (not pandas) for ML preprocessing

ML Fundamentals

Four reasons to use scikit-learn (not pandas) for ML preprocessing

Data School Beginner 5y ago

Operationalize Open Source Models with SAS Open Model Manager // Ivan Nardini // MLOps Meetup #39

ML Fundamentals

Operationalize Open Source Models with SAS Open Model Manager // Ivan Nardini // MLOps Meetup #39

MLOps.community Beginner 5y ago

Machine Learning for Sustainable Agriculture

ML Fundamentals

Machine Learning for Sustainable Agriculture

The TWIML AI Podcast with Sam Charrington Beginner 5y ago

Inside TensorFlow: Building ML infra

ML Fundamentals

Inside TensorFlow: Building ML infra

TensorFlow Beginner 5y ago

Convolution padding and stride | Deep Learning Tutorial 25 (Tensorflow2.0, Keras & Python)

ML Fundamentals

Convolution padding and stride | Deep Learning Tutorial 25 (Tensorflow2.0, Keras & Python)

codebasics Beginner 5y ago

Tutorial 3- Julia Basics-Strings And Numerical Operations, Commenting

ML Fundamentals

Tutorial 3- Julia Basics-Strings And Numerical Operations, Commenting

Krish Naik Beginner 5y ago

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

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

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

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

Class 2: Artificial Intelligence, Machine Learning, and Deep Learning

ML Fundamentals

Class 2: Artificial Intelligence, Machine Learning, and Deep Learning

MIT OpenCourseWare 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

#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

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

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

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

7.3 Bagging (L07: Ensemble Methods)

ML Fundamentals

7.3 Bagging (L07: Ensemble Methods)

Sebastian Raschka Beginner 5y ago

7.2 Majority Voting (L07: Ensemble Methods)

ML Fundamentals

7.2 Majority Voting (L07: Ensemble Methods)

Sebastian Raschka Beginner 5y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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TradeStation EasyLanguage for Algorithmic Trading

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TradeStation EasyLanguage for Algorithmic Trading

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Introduction to AI and Machine Learning on GC - Deutsch

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Introduction to AI and Machine Learning on GC - Deutsch

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Physics 102 - Electric Potential and DC Circuits

📚 Coursera Course ↗

Physics 102 - Electric Potential and DC Circuits

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Advanced Linear Models for Data Science 2: Statistical Linear Models

📚 Coursera Course ↗

Advanced Linear Models for Data Science 2: Statistical Linear Models

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Applied Plotting, Charting & Data Representation in Python

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Applied Plotting, Charting & Data Representation in Python

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📚 Coursera Course ↗

Aligning Business Strategy for AI Integration

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📚 Coursera Course ↗

Create Image Captioning Models - Italiano

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Automate, Evaluate and Deploy ML Models Confidently

📚 Coursera Course ↗

Automate, Evaluate and Deploy ML Models Confidently

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Calculus through Data & Modelling: Integration Applications

📚 Coursera Course ↗

Calculus through Data & Modelling: Integration Applications

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Deep Learning with Keras and Practical Applications

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Deep Learning with Keras and Practical Applications

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📚 Coursera Course ↗

Amazon Kinesis Video Streams - Getting Started

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Modèles de séquence

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Modèles de séquence

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Machine Learning Essentials

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Machine Learning Essentials

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📚 Coursera Course ↗

Responsible AI: Applying AI Principles with GC - Français

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Cloud Data Engineering

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Cloud Data Engineering

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Deploy and Optimize Cloud AI Architectures

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Deploy and Optimize Cloud AI Architectures

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📚 Coursera Course ↗

Convolutional Neural Networks in TensorFlow

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AI for Knowledge Workers

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AI for Knowledge Workers

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