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📐 ML Fundamentals

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

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Ines & Sofie — Building Industrial-Strength NLP Pipelines
ML Fundamentals
Ines & Sofie — Building Industrial-Strength NLP Pipelines
Weights & Biases Beginner 5y ago
Encode categorical features using OneHotEncoder or OrdinalEncoder
ML Fundamentals
Encode categorical features using OneHotEncoder or OrdinalEncoder
Data School Beginner 5y ago
Getting ready to learn Python, Mac edition #4: Install and run Python
ML Fundamentals ⚡ AI Lesson
Getting ready to learn Python, Mac edition #4: Install and run Python
Brandon Rohrer Beginner 5y ago
7.7 Stacking (L07: Ensemble Methods)
ML Fundamentals
7.7 Stacking (L07: Ensemble Methods)
Sebastian Raschka Beginner 5y ago
7.6 Random Forests (L07: Ensemble Methods)
ML Fundamentals
7.6 Random Forests (L07: Ensemble Methods)
Sebastian Raschka Beginner 5y ago
Getting ready to learn Python, Mac edition #3: Creating and editing text files
ML Fundamentals
Getting ready to learn Python, Mac edition #3: Creating and editing text files
Brandon Rohrer Beginner 5y ago
Accelerating Large-Scale Recommenders with NVIDIA Merlin on DGX A100
ML Fundamentals
Accelerating Large-Scale Recommenders with NVIDIA Merlin on DGX A100
NVIDIA Developer Beginner 5y ago
Twitter sentiment analysis by Benson Ruan - Made with TensorFlow.js
ML Fundamentals ⚡ AI Lesson
Twitter sentiment analysis by Benson Ruan - Made with TensorFlow.js
TensorFlow Intermediate 5y ago
Schedule Python Tasks (in Windows) : Data Science Code
ML Fundamentals
Schedule Python Tasks (in Windows) : Data Science Code
ritvikmath Intermediate 5y ago
We're hosting a Machine Learning Conference!
ML Fundamentals ⚡ AI Lesson
We're hosting a Machine Learning Conference!
CodeEmporium Beginner 5y ago
Updated Best YouTube Channels To Learn Data Science For Free
ML Fundamentals
Updated Best YouTube Channels To Learn Data Science For Free
Krish Naik Beginner 5y ago
Neural Networks from Scratch (NNFS) in Print!
ML Fundamentals ⚡ AI Lesson
Neural Networks from Scratch (NNFS) in Print!
sentdex Advanced 5y ago
W&B Deep Learning Salon - Richard Craib & Aleksa Milosevic
ML Fundamentals
W&B Deep Learning Salon - Richard Craib & Aleksa Milosevic
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 ⚡ AI Lesson
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 ⚡ AI Lesson
Data Science and Spend Data Classification with Susan | 365 Data Use Cases
365 Data Science Beginner 5y ago
How to Build a World-Class ML Model for Melanoma Detection | Grandmaster Series E1
ML Fundamentals
How to Build a World-Class ML Model for Melanoma Detection | Grandmaster Series E1
NVIDIA Developer Intermediate 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 ⚡ AI Lesson
Machine Learning for Sustainable Agriculture
The TWIML AI Podcast with Sam Charrington Beginner 5y ago
Directions in ML: AutoML & Interpretability: Powering the machine learning revolution in healthcare
ML Fundamentals
Directions in ML: AutoML & Interpretability: Powering the machine learning revolution in healthcare
Microsoft Research Advanced 5y ago
Inside TensorFlow: Building ML infra
ML Fundamentals ⚡ AI Lesson
Inside TensorFlow: Building ML infra
TensorFlow Beginner 5y ago
Random Forests : Data Science Concepts
ML Fundamentals ⚡ AI Lesson
Random Forests : Data Science Concepts
ritvikmath Intermediate 5y ago
My Entrepreneur Journey- From Software Engineer To Data Scientist To Entrepreneur- Future Plans
ML Fundamentals
My Entrepreneur Journey- From Software Engineer To Data Scientist To Entrepreneur- Future Plans
Krish Naik Intermediate 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
Image classification using CNN (CIFAR10 dataset) | Deep Learning Tutorial 24 (Tensorflow & Python)
ML Fundamentals ⚡ AI Lesson
Image classification using CNN (CIFAR10 dataset) | Deep Learning Tutorial 24 (Tensorflow & Python)
codebasics Beginner 5y ago
#TWIMLfest: AI in the Fight Against Climate Change
ML Fundamentals ⚡ AI Lesson
#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 ⚡ AI Lesson
TensorFlow Tutorial 10 - Recurrent Neural Nets (RNN & LSTM & GRU)
Patrick Loeber Beginner 5y ago
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 ⚡ AI Lesson
Richard Craib on seeking alpha and building the last hedge fund at Numerai
Weights & Biases Beginner 5y ago
Aleksa Milosevic on how to make your NLP app fast without hurting accuracy
ML Fundamentals
Aleksa Milosevic on how to make your NLP app fast without hurting accuracy
Weights & Biases Intermediate 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
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
Tutorial 2- Installing Julia And Running In Jupyter Notebook
ML Fundamentals
Tutorial 2- Installing Julia And Running In Jupyter Notebook
Krish Naik Intermediate 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: Fundamentals of Medical Image Processing for Deep Learning
ML Fundamentals ⚡ AI Lesson
#TWIMLfest: Fundamentals of Medical Image Processing for Deep Learning
The TWIML AI Podcast with Sam Charrington 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
#TWIMLfest: Show & Tell: Art Training: How Artistic Practices Can Adopt Machine Learning
ML Fundamentals ⚡ AI Lesson
#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 ⚡ AI Lesson
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
23. Fairness
ML Fundamentals
23. Fairness
MIT OpenCourseWare Beginner 5y ago