Foundations

ML Fundamentals

Neural networks, backpropagation, gradient descent โ€” the maths behind AI

11,178
lessons
Skills in this topic
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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
Selenium WebDriver Tutorial | Automation testing with WebDriver | Selenium Tutorial | Edureka
ML Fundamentals
Selenium WebDriver Tutorial | Automation testing with WebDriver | Selenium Tutorial | Edureka
edureka! Beginner 1y ago
We grade things a little differently at Coursera. ๐Ÿคญ #onlinelearning #degree
ML Fundamentals
We grade things a little differently at Coursera. ๐Ÿคญ #onlinelearning #degree
Coursera Beginner 1y ago
Deploying Machine Learning Models - Full Guide
ML Fundamentals โšก AI Lesson
Deploying Machine Learning Models - Full Guide
NeuralNine Beginner 1y ago
๐Ÿ”ฅFull Stack Developer Roadmap 2025 | How to Become a Full Stack Developer | Edureka
ML Fundamentals
๐Ÿ”ฅFull Stack Developer Roadmap 2025 | How to Become a Full Stack Developer | Edureka
edureka! Beginner 1y ago
Ready to kick off your career in AI? Check out these potential careers and get job-ready!
ML Fundamentals
Ready to kick off your career in AI? Check out these potential careers and get job-ready!
Coursera Beginner 1y ago
Understanding the Defect Life Cycle | Software Testing for Beginners #testing #softwaretesting
ML Fundamentals
Understanding the Defect Life Cycle | Software Testing for Beginners #testing #softwaretesting
Entri Coding เดฎเดฒเดฏเดพเดณเด‚ Beginner 1y ago
Dream Rooms Using Ai๐Ÿ”ฅ
ML Fundamentals
Dream Rooms Using Ai๐Ÿ”ฅ
Entri Coding เดฎเดฒเดฏเดพเดณเด‚ Beginner 1y ago
Semi-Supervised Learning: Small Labeled Sets ๐Ÿท๏ธ - Efficient Training Boost ๐Ÿš€ - Topic 197 #ai #ml
ML Fundamentals โšก AI Lesson
Semi-Supervised Learning: Small Labeled Sets ๐Ÿท๏ธ - Efficient Training Boost ๐Ÿš€ - Topic 197 #ai #ml
deeplizard Beginner 1y ago
Coding a Multimodal (Vision) Language Model from scratch in PyTorch with full explanation
ML Fundamentals
Coding a Multimodal (Vision) Language Model from scratch in PyTorch with full explanation
Umar Jamil Beginner 1y ago
Why Full-Stack Engineers Are Key to #AI Project Success
ML Fundamentals โšก AI Lesson
Why Full-Stack Engineers Are Key to #AI Project Success
Stanford Online Beginner 1y ago
Semi-Supervised Learning Intro ๐ŸŒŸ - Bridging Supervised & Unsupervised ๐Ÿ“š - Topic 196 #ai #ml
ML Fundamentals โšก AI Lesson
Semi-Supervised Learning Intro ๐ŸŒŸ - Bridging Supervised & Unsupervised ๐Ÿ“š - Topic 196 #ai #ml
deeplizard Beginner 1y ago
Top 10 Fun Machine Learning Projects for Kid #technology #machinelearning #codeforkids
ML Fundamentals
Top 10 Fun Machine Learning Projects for Kid #technology #machinelearning #codeforkids
Code For Kids Beginner 1y ago
New Way Now: Canonical unlocks open-source innovation with Google Cloud
ML Fundamentals
New Way Now: Canonical unlocks open-source innovation with Google Cloud
Google Cloud Beginner 1y ago
The Complete Data Science Roadmap
ML Fundamentals โšก AI Lesson
The Complete Data Science Roadmap
Programming with Mosh Beginner 1y ago
Cohere For AI - Community Talks: Kyunghyun Cho
ML Fundamentals
Cohere For AI - Community Talks: Kyunghyun Cho
Cohere Beginner 1y ago
Primate Poses
ML Fundamentals โšก AI Lesson
Primate Poses
Data Skeptic Beginner 1y ago
Getting started with Imagen 3
ML Fundamentals
Getting started with Imagen 3
Google Cloud Tech Beginner 1y ago
Photorealistic images from Imagen 3
ML Fundamentals
Photorealistic images from Imagen 3
Google Cloud Tech Beginner 1y ago
NobleAI's Ashwin Hegde on partnering with Weights & Biases
ML Fundamentals
NobleAI's Ashwin Hegde on partnering with Weights & Biases
Weights & Biases Beginner 1y ago
NeuralVDB: High-resolution Sparse Volume Representation using Hierarchical Neural Networks | NVIDIA
ML Fundamentals
NeuralVDB: High-resolution Sparse Volume Representation using Hierarchical Neural Networks | NVIDIA
NVIDIA Developer Beginner 1y ago
Deep Learning by Goodfellow Study Group - 7-20-2024
ML Fundamentals โšก AI Lesson
Deep Learning by Goodfellow Study Group - 7-20-2024
TWIML AI Podcast Beginner 1y ago
Deep Learning by Goodfellow Study Group - 7-13-2024
ML Fundamentals โšก AI Lesson
Deep Learning by Goodfellow Study Group - 7-13-2024
TWIML AI Podcast Beginner 1y ago
Simplicits: Mesh-Free, Geometry-Agnostic, Elastic Simulation | NVIDIA Research
ML Fundamentals
Simplicits: Mesh-Free, Geometry-Agnostic, Elastic Simulation | NVIDIA Research
NVIDIA Developer Beginner 1y ago
Mastering Software Engineering for Data Scientists // Catherine Nelson // MLOps podcast #245 clip
ML Fundamentals
Mastering Software Engineering for Data Scientists // Catherine Nelson // MLOps podcast #245 clip
MLOps.community Beginner 1y ago
No GPU? No problem! Fine-tuning models made easy with Mistral ๐Ÿš€
ML Fundamentals โšก AI Lesson
No GPU? No problem! Fine-tuning models made easy with Mistral ๐Ÿš€
Weights & Biases Beginner 1y ago
Bidirectional RNN | Deep Learning | In-depth Explanation & Equations
ML Fundamentals
Bidirectional RNN | Deep Learning | In-depth Explanation & Equations
Learn With Jay Beginner 1y ago
AI Learns to Dodge  #ai #deeplearning #aiwarehouse
ML Fundamentals โšก AI Lesson
AI Learns to Dodge #ai #deeplearning #aiwarehouse
AI Warehouse Beginner 1y ago
How to get Machine Learning Skills without doing a PhD in Math [Podcast #133 with Daniel Bourke]
ML Fundamentals โšก AI Lesson
How to get Machine Learning Skills without doing a PhD in Math [Podcast #133 with Daniel Bourke]
freeCodeCamp.org Beginner 1y ago
The Complete Machine Learning Roadmap
ML Fundamentals โšก AI Lesson
The Complete Machine Learning Roadmap
Programming with Mosh Beginner 1y ago
Machine Learning for Data Science & AI
ML Fundamentals
Machine Learning for Data Science & AI
codebasics Beginner 1y ago
Crack Python Interviews  Part 2 | Ultimate Interview Preparation Series #pythonprogramming
ML Fundamentals
Crack Python Interviews Part 2 | Ultimate Interview Preparation Series #pythonprogramming
Entri Coding เดฎเดฒเดฏเดพเดณเด‚ Beginner 1y ago
Crack Python Interviews  Part 1 | Ultimate Interview Preparation Series #pythonprogramming
ML Fundamentals
Crack Python Interviews Part 1 | Ultimate Interview Preparation Series #pythonprogramming
Entri Coding เดฎเดฒเดฏเดพเดณเด‚ Beginner 1y ago
Coursera workout plan = learn, grow, repeat. ๐Ÿ“š๐Ÿ’ช #onlinelearning #jobtips #careeradvice
ML Fundamentals
Coursera workout plan = learn, grow, repeat. ๐Ÿ“š๐Ÿ’ช #onlinelearning #jobtips #careeradvice
Coursera Beginner 1y ago
Computer Vision using Python - Python For Beginners
ML Fundamentals
Computer Vision using Python - Python For Beginners
Entri Coding เดฎเดฒเดฏเดพเดณเด‚ Beginner 1y ago
Change the way you look at degrees. More info at the link in bio. ๐ŸŽ“ #onlineschool #onlinelearning
ML Fundamentals
Change the way you look at degrees. More info at the link in bio. ๐ŸŽ“ #onlineschool #onlinelearning
Coursera Beginner 1y ago
Understanding Autoencoders ๐Ÿ” - Denoising and Reconstruction ๐Ÿงผ - Topic 195 #ai #ml
ML Fundamentals โšก AI Lesson
Understanding Autoencoders ๐Ÿ” - Denoising and Reconstruction ๐Ÿงผ - Topic 195 #ai #ml
deeplizard Beginner 1y ago
Autoencoder Inputs and Outputs ๐Ÿ”„ - Reconstructing Data ๐Ÿ› ๏ธ - Topic 194 #ai #ml
ML Fundamentals โšก AI Lesson
Autoencoder Inputs and Outputs ๐Ÿ”„ - Reconstructing Data ๐Ÿ› ๏ธ - Topic 194 #ai #ml
deeplizard Beginner 1y ago
Deep Learning by Goodfellow Study Group - 7-6-2024
ML Fundamentals โšก AI Lesson
Deep Learning by Goodfellow Study Group - 7-6-2024
TWIML AI Podcast Beginner 1y ago
Autoencoders in Deep Learning ๐Ÿค– - Unsupervised Learning Applications ๐Ÿง  - Topic 193 #ai #ml
ML Fundamentals โšก AI Lesson
Autoencoders in Deep Learning ๐Ÿค– - Unsupervised Learning Applications ๐Ÿง  - Topic 193 #ai #ml
deeplizard Beginner 1y ago
Budget 2024: Opportunities like never before!
ML Fundamentals
Budget 2024: Opportunities like never before!
Entri Coding เดฎเดฒเดฏเดพเดณเด‚ Beginner 1y ago
Break into the tech industry with these high-growth careers. #devops #cloudcomputing
ML Fundamentals
Break into the tech industry with these high-growth careers. #devops #cloudcomputing
Coursera Beginner 1y ago
Sophia Yang announces Mistral's new models and finetuning API
ML Fundamentals
Sophia Yang announces Mistral's new models and finetuning API
Weights & Biases Beginner 1y ago
Clustering Example Explained ๐Ÿ“Š - Understanding Algorithm Impact ๐Ÿ“ˆ - Topic 192 #ai #ml
ML Fundamentals โšก AI Lesson
Clustering Example Explained ๐Ÿ“Š - Understanding Algorithm Impact ๐Ÿ“ˆ - Topic 192 #ai #ml
deeplizard Beginner 1y ago
Start your coding journey today with Coursera! #careertok #onlinelearning  #coding #learntocode
ML Fundamentals
Start your coding journey today with Coursera! #careertok #onlinelearning #coding #learntocode
Coursera Beginner 1y ago
Documentation in Software Testing
ML Fundamentals
Documentation in Software Testing
Entri Coding เดฎเดฒเดฏเดพเดณเด‚ Beginner 1y ago
Clustering in Unsupervised Learning ๐ŸŒ - Grouping Data Naturally ๐Ÿ”Ž - Topic 191 #ai #ml
ML Fundamentals โšก AI Lesson
Clustering in Unsupervised Learning ๐ŸŒ - Grouping Data Naturally ๐Ÿ”Ž - Topic 191 #ai #ml
deeplizard Beginner 1y ago
Metallic Wood-Boring Beetles ๐Ÿชฒ Larvae to Adults with Mandy
ML Fundamentals โšก AI Lesson
Metallic Wood-Boring Beetles ๐Ÿชฒ Larvae to Adults with Mandy
deeplizard Beginner 1y ago
What Is Your Salary Expectation?
ML Fundamentals
What Is Your Salary Expectation?
Entri Coding เดฎเดฒเดฏเดพเดณเด‚ Beginner 1y ago
๐Ÿ“š Coursera Courses Opens on Coursera ยท Free to audit
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Visual Perception
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Self-paced
Visual Perception
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Capstone: Data Science Problem in Linear Algebra Framework
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Self-paced
Capstone: Data Science Problem in Linear Algebra Framework
Opens on Coursera โ†—
Train ML Models
๐Ÿ“š Coursera Course โ†—
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Train ML Models
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Deploying Machine Learning Models
๐Ÿ“š Coursera Course โ†—
Self-paced
Deploying Machine Learning Models
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Applied Machine Learning with Python
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Self-paced
Applied Machine Learning with Python
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Transform Audio: Extract Features & Augment Models
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Self-paced
Transform Audio: Extract Features & Augment Models
Opens on Coursera โ†—