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
Data Augmentation with TensorFlow's Keras API
ML Fundamentals ⚡ AI Lesson
Data Augmentation with TensorFlow's Keras API
deeplizard Beginner 5y ago
Webinar: Bachelor of Applied Arts and Sciences (B.A.A.S.) Financial Aid & Admissions Overview
ML Fundamentals
Webinar: Bachelor of Applied Arts and Sciences (B.A.A.S.) Financial Aid & Admissions Overview
Coursera Beginner 5y ago
Jetson AI Fundamentals - S1E3 - Image Classification Project
ML Fundamentals
Jetson AI Fundamentals - S1E3 - Image Classification Project
NVIDIA Developer Beginner 5y ago
Jetson AI Fundamentals - S2E1 - JetBot Intro and Hardware
ML Fundamentals ⚡ AI Lesson
Jetson AI Fundamentals - S2E1 - JetBot Intro and Hardware
NVIDIA Developer Beginner 5y ago
Use ColumnTransformer to apply different preprocessing to different columns
ML Fundamentals
Use ColumnTransformer to apply different preprocessing to different columns
Data School Beginner 5y ago
YOLOv1 from Scratch
ML Fundamentals ⚡ AI Lesson
YOLOv1 from Scratch
Aladdin Persson Beginner 5y ago
Custom Charts in Weights & Biases
ML Fundamentals
Custom Charts in Weights & Biases
Weights & Biases Beginner 5y ago
¿Por qué la Realidad Aumentada NECESITA a la Inteligencia Artificial?
ML Fundamentals
¿Por qué la Realidad Aumentada NECESITA a la Inteligencia Artificial?
Dot CSV Beginner 5y ago
Low Pass Filters & High Pass Filters : Data Science Concepts
ML Fundamentals ⚡ AI Lesson
Low Pass Filters & High Pass Filters : Data Science Concepts
ritvikmath Beginner 5y ago
How to ask technical questions in a right way?
ML Fundamentals
How to ask technical questions in a right way?
codebasics Beginner 5y ago
TensorFlow Tutorial 09 - Transfer Learning
ML Fundamentals
TensorFlow Tutorial 09 - Transfer Learning
Patrick Loeber Beginner 5y ago
Dive into Deep Learning (Study Group): Modern CNNs | Session 7
ML Fundamentals ⚡ AI Lesson
Dive into Deep Learning (Study Group): Modern CNNs | Session 7
Elvis Saravia Beginner 5y ago
Hottest And Best Domains Where Data Scientist And Data Analyst Are Paid More Salaries 🔥🔥🔥🔥
ML Fundamentals
Hottest And Best Domains Where Data Scientist And Data Analyst Are Paid More Salaries 🔥🔥🔥🔥
Krish Naik Beginner 5y ago
DeepFakes in 5 minutes | Understand how deepfakes work and create your own!
ML Fundamentals ⚡ AI Lesson
DeepFakes in 5 minutes | Understand how deepfakes work and create your own!
What's AI by Louis-François Bouchard Beginner 5y ago
Mean Average Precision (mAP) Explained and PyTorch Implementation
ML Fundamentals
Mean Average Precision (mAP) Explained and PyTorch Implementation
Aladdin Persson Beginner 5y ago
TensorFlow Tutorial 08 - Classify Lego Star Wars Minifigures | Full Project Walkthrough
ML Fundamentals ⚡ AI Lesson
TensorFlow Tutorial 08 - Classify Lego Star Wars Minifigures | Full Project Walkthrough
Patrick Loeber Beginner 5y ago
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
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
Best Multi-Armed Bandit Strategy? (feat: UCB Method)
ML Fundamentals
Best Multi-Armed Bandit Strategy? (feat: UCB Method)
ritvikmath 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
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
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
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
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
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
6.1 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
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
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
Announcing Discord Server For Codebasics
ML Fundamentals
Announcing Discord Server For Codebasics
codebasics 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
📚 Coursera Courses Opens on Coursera · Free to audit
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TensorFlow: Build & Deploy Face Mask Detection
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Self-paced
TensorFlow: Build & Deploy Face Mask Detection
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Programming Generative AI: Unit 1
📚 Coursera Course ↗
Self-paced
Programming Generative AI: Unit 1
Opens on Coursera ↗
Introduction to AI and Machine Learning on Google Cloud
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Self-paced
Introduction to AI and Machine Learning on Google Cloud
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Deploy and Optimize Cloud AI Architectures
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Self-paced
Deploy and Optimize Cloud AI Architectures
Opens on Coursera ↗
Applied Fundamentals: Guess the Number
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Self-paced
Applied Fundamentals: Guess the Number
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Introduction to AI and Machine Learning on GC - Deutsch
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Self-paced
Introduction to AI and Machine Learning on GC - Deutsch
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