Foundations

ML Fundamentals

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

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ML Maths Basics
beginner
Manipulate vectors and matrices
Supervised Learning
beginner
Train decision trees, random forests, and neural nets
Unsupervised Learning
intermediate
Apply k-means and DBSCAN clustering
ML Pipelines
intermediate
Engineer features and handle missing data
Batch normalization
ML Fundamentals
Batch normalization
Brandon Rohrer Beginner 5y ago
Applications of computer vision | Deep Learning Tutorial 22 (Tensorflow2.0, Keras & Python)
ML Fundamentals
Applications of computer vision | Deep Learning Tutorial 22 (Tensorflow2.0, Keras & Python)
codebasics Beginner 5y ago
Non Max Suppression Explained and PyTorch Implementation
ML Fundamentals ⚡ AI Lesson
Non Max Suppression Explained and PyTorch Implementation
Aladdin Persson Beginner 5y ago
TensorFlow Tutorial 07 - Functional API + Multi-output Project
ML Fundamentals
TensorFlow Tutorial 07 - Functional API + Multi-output Project
Patrick Loeber Beginner 5y ago
6.3 Types of decision trees (L06: Decision Trees)
ML Fundamentals
6.3 Types of decision trees (L06: Decision Trees)
Sebastian Raschka Beginner 5y ago
"AI & Machine Learning" Cybersecurity Conversation
ML Fundamentals
"AI & Machine Learning" Cybersecurity Conversation
John Hammond Beginner 5y ago
Backwards Design
ML Fundamentals
Backwards Design
Coursera Beginner 5y ago
Pedagogy Principles
ML Fundamentals
Pedagogy Principles
Coursera Beginner 5y ago
Intersection over Union Explained and PyTorch Implementation
ML Fundamentals
Intersection over Union Explained and PyTorch Implementation
Aladdin Persson Beginner 5y ago
Best Multi-Armed Bandit Strategy? (feat: UCB Method)
ML Fundamentals
Best Multi-Armed Bandit Strategy? (feat: UCB Method)
ritvikmath Beginner 5y ago
TensorFlow Tutorial 06 - Save & Load Models
ML Fundamentals
TensorFlow Tutorial 06 - Save & Load Models
Patrick Loeber Beginner 5y ago
Getting started with Jetson Nano 2GB Developer Kit
ML Fundamentals
Getting started with Jetson Nano 2GB Developer Kit
NVIDIA Developer Beginner 5y ago
6.2 Recursive algorithms & Big-O (L06: Decision Trees)
ML Fundamentals
6.2 Recursive algorithms & Big-O (L06: Decision Trees)
Sebastian Raschka Beginner 5y ago
Understanding Graph Neural Networks | Part 3/3 - Pytorch Geometric and Molecule Data using RDKit
ML Fundamentals
Understanding Graph Neural Networks | Part 3/3 - Pytorch Geometric and Molecule Data using RDKit
DeepFindr Beginner 5y ago
Tutorial 1-Machine Learning Model Retraining Approach-Incremental And Continuous Model Training 🔥🔥🔥🔥
ML Fundamentals
Tutorial 1-Machine Learning Model Retraining Approach-Incremental And Continuous Model Training 🔥🔥🔥🔥
Krish Naik Beginner 5y ago
MLOps #36 Moving Deep Learning from Research to Prod Using DeterminedAI & Kubeflow // David Hershey
ML Fundamentals ⚡ AI Lesson
MLOps #36 Moving Deep Learning from Research to Prod Using DeterminedAI & Kubeflow // David Hershey
MLOps.community Beginner 5y ago
Tutorial 2- Feature Selection-How To Drop Features Using Pearson Correlation
ML Fundamentals
Tutorial 2- Feature Selection-How To Drop Features Using Pearson Correlation
Krish Naik Beginner 5y ago
Most underrated topics regarding deploying ML models in production?
ML Fundamentals
Most underrated topics regarding deploying ML models in production?
MLOps.community Beginner 5y ago
Protected Attributes and 'Fairness through Unawareness,' Exploring Fairness in Machine Learning
ML Fundamentals
Protected Attributes and 'Fairness through Unawareness,' Exploring Fairness in Machine Learning
MIT OpenCourseWare Beginner 5y ago
USAID Appropriate Use Framework, Exploring Fairness in Machine Learning
ML Fundamentals
USAID Appropriate Use Framework, Exploring Fairness in Machine Learning
MIT OpenCourseWare Beginner 5y ago
Announcing Discord Server For Codebasics
ML Fundamentals
Announcing Discord Server For Codebasics
codebasics Beginner 5y ago
My GDE journey - Akshay Bahadur
ML Fundamentals
My GDE journey - Akshay Bahadur
Google for Developers Beginner 5y ago
W&B Deep Learning Salon - Sara Hooker & Hannes Hapke
ML Fundamentals
W&B Deep Learning Salon - Sara Hooker & Hannes Hapke
Weights & Biases Beginner 5y ago
Learn Deep Learning from NVIDIA
ML Fundamentals
Learn Deep Learning from NVIDIA
Data Professor Beginner 5y ago
Fine-Tuning MobileNet on Custom Data Set with TensorFlow's Keras API
ML Fundamentals ⚡ AI Lesson
Fine-Tuning MobileNet on Custom Data Set with TensorFlow's Keras API
deeplizard Beginner 5y ago
Summarize News Articles with Machine Learning in Python
ML Fundamentals ⚡ AI Lesson
Summarize News Articles with Machine Learning in Python
NeuralNine Beginner 5y ago
Ensembling, Blending & Stacking
ML Fundamentals ⚡ AI Lesson
Ensembling, Blending & Stacking
Abhishek Thakur Beginner 5y ago
Real Time AI HAND POSE Estimation with Javascript, Tensorflow.JS and React.JS
ML Fundamentals ⚡ AI Lesson
Real Time AI HAND POSE Estimation with Javascript, Tensorflow.JS and React.JS
Nicholas Renotte Beginner 5y ago
Dive into Deep Learning (Study Group): Convolutional Neural Networks | Session 6
ML Fundamentals
Dive into Deep Learning (Study Group): Convolutional Neural Networks | Session 6
Elvis Saravia Beginner 5y ago
Deploy Any Machine Learning (or Deep Learning) Endpoint on Google Cloud Platform In 10 minutes
ML Fundamentals
Deploy Any Machine Learning (or Deep Learning) Endpoint on Google Cloud Platform In 10 minutes
Abhishek Thakur Beginner 5y ago
Machine Learning Projects (Intermediate level) | 2021
ML Fundamentals ⚡ AI Lesson
Machine Learning Projects (Intermediate level) | 2021
Aleksa Gordić - The AI Epiphany Beginner 5y ago
Biology to Data Science (data professor's tips on how to get a data science research position)
ML Fundamentals ⚡ AI Lesson
Biology to Data Science (data professor's tips on how to get a data science research position)
Tina Huang Beginner 5y ago
Diary of A Wimpy Kid Awesome Friendly Adventure & The Deep End Cover Reveal
ML Fundamentals
Diary of A Wimpy Kid Awesome Friendly Adventure & The Deep End Cover Reveal
NPStation Beginner 5y ago
6.1 Intro to Decision Trees (L06: Decision Trees)
ML Fundamentals
6.1 Intro to Decision Trees (L06: Decision Trees)
Sebastian Raschka Beginner 5y ago
Introduction to Object Detection in Deep Learning
ML Fundamentals
Introduction to Object Detection in Deep Learning
Aladdin Persson Beginner 5y ago
TensorFlow Tutorial 05 - Convolutional Neural Network (CNN)
ML Fundamentals
TensorFlow Tutorial 05 - Convolutional Neural Network (CNN)
Patrick Loeber Beginner 5y ago
Solar Lighting Example, Exploring Fairness in Machine Learning
ML Fundamentals
Solar Lighting Example, Exploring Fairness in Machine Learning
MIT OpenCourseWare Beginner 5y ago
TensorFlow Tutorial 04 - Linear Regression - Full Project Walkthrough
ML Fundamentals
TensorFlow Tutorial 04 - Linear Regression - Full Project Walkthrough
Patrick Loeber Beginner 5y ago
5.6 Scikit-learn Pipelines (L05: Machine Learning with Scikit-Learn)
ML Fundamentals
5.6 Scikit-learn Pipelines (L05: Machine Learning with Scikit-Learn)
Sebastian Raschka Beginner 5y ago
5.4 Intro to Scikit-learn (L05: Machine Learning with Scikit-Learn)
ML Fundamentals ⚡ AI Lesson
5.4 Intro to Scikit-learn (L05: Machine Learning with Scikit-Learn)
Sebastian Raschka Beginner 5y ago
TensorFlow Tutorial 03 - First Neural Network (Training, Evaluation & Prediction)
ML Fundamentals
TensorFlow Tutorial 03 - First Neural Network (Training, Evaluation & Prediction)
Patrick Loeber Beginner 5y ago
Tutorial 1- Feature Selection-How To Drop Constant Features Using Variance Threshold
ML Fundamentals
Tutorial 1- Feature Selection-How To Drop Constant Features Using Variance Threshold
Krish Naik Beginner 5y ago
Webinar: Bachelor of Applied Arts and Sciences (B.A.A.S.) Advising Overview
ML Fundamentals
Webinar: Bachelor of Applied Arts and Sciences (B.A.A.S.) Advising Overview
Coursera Beginner 5y ago
5.3 Object Oriented Programming & Python Classes (L05: Machine Learning with Scikit-Learn)
ML Fundamentals
5.3 Object Oriented Programming & Python Classes (L05: Machine Learning with Scikit-Learn)
Sebastian Raschka Beginner 5y ago
5.2 Basic data handling (L05: Machine Learning with Scikit-Learn)
ML Fundamentals
5.2 Basic data handling (L05: Machine Learning with Scikit-Learn)
Sebastian Raschka Beginner 5y ago
5.1 Reading a Dataset from a Tabular Text File (L05: Machine Learning with Scikit-Learn)
ML Fundamentals
5.1 Reading a Dataset from a Tabular Text File (L05: Machine Learning with Scikit-Learn)
Sebastian Raschka Beginner 5y ago
TensorFlow Tutorial 02 - Tensor Basics - Beginner Course
ML Fundamentals
TensorFlow Tutorial 02 - Tensor Basics - Beginner Course
Patrick Loeber Beginner 5y ago
End-to-End: Automated Hyperparameter Tuning For Deep Neural Networks
ML Fundamentals ⚡ AI Lesson
End-to-End: Automated Hyperparameter Tuning For Deep Neural Networks
Abhishek Thakur Beginner 5y ago
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Evaluate Vision Errors: Identify Failure Patterns
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Evaluate Vision Errors: Identify Failure Patterns
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Introduction to Data Science and scikit-learn in Python
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Introduction to Data Science and scikit-learn in Python
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Advanced Machine Learning Algorithms
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Advanced Machine Learning Algorithms
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Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Bahasa Indonesia
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Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Bahasa Indonesia
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AI & Machine Learning: Apply, Build & Solve
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Self-paced
AI & Machine Learning: Apply, Build & Solve
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NumPy, Matplotlib & Pandas – Data Science Prerequisites
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NumPy, Matplotlib & Pandas – Data Science Prerequisites
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