Foundations

ML Fundamentals

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

11,302
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
Law of Diminishing Returns for Running AI Proof-of-Concepts // Oguzhan Gencoglu // MLOps Meetup #62
ML Fundamentals โšก AI Lesson
Law of Diminishing Returns for Running AI Proof-of-Concepts // Oguzhan Gencoglu // MLOps Meetup #62
MLOps.community Beginner 4y ago
How To Start Data Science From My Channel- Follow This Order Of Playlist
ML Fundamentals
How To Start Data Science From My Channel- Follow This Order Of Playlist
Krish Naik Beginner 4y ago
Deep Learning Specialization: A Comprehensive Review - Is It Worth It In 2023?
ML Fundamentals
Deep Learning Specialization: A Comprehensive Review - Is It Worth It In 2023?
Aladdin Persson Beginner 4y ago
Why Deep Learning Is Becoming So Popular?๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ
ML Fundamentals
Why Deep Learning Is Becoming So Popular?๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ
Krish Naik Beginner 4y ago
AI re-lighting to match with any background
ML Fundamentals
AI re-lighting to match with any background
What's AI by Louis-Franรงois Bouchard Beginner 4y ago
Organisational Challenges of MLOps // Adam Sroka // MLOps Coffee Sessions #38
ML Fundamentals
Organisational Challenges of MLOps // Adam Sroka // MLOps Coffee Sessions #38
MLOps.community Beginner 4y ago
AI For Medicine Specialization: A Comprehensive Review - Should You Take It?
ML Fundamentals โšก AI Lesson
AI For Medicine Specialization: A Comprehensive Review - Should You Take It?
Aladdin Persson Beginner 4y ago
Climbing the Corporate AI Ladder -DeepLearning.AI & FourthBrain
ML Fundamentals
Climbing the Corporate AI Ladder -DeepLearning.AI & FourthBrain
DeepLearningAI Beginner 4y ago
What is the Inverse of a Matrix ??? : Data Science Basics
ML Fundamentals โšก AI Lesson
What is the Inverse of a Matrix ??? : Data Science Basics
ritvikmath Beginner 4y ago
I'm out of Academia
ML Fundamentals โšก AI Lesson
I'm out of Academia
Yannic Kilcher Beginner 4y ago
Rank of a Matrix : Data Science Basics
ML Fundamentals
Rank of a Matrix : Data Science Basics
ritvikmath Beginner 4y ago
Understand ANY Machine Learning Model
ML Fundamentals โšก AI Lesson
Understand ANY Machine Learning Model
CodeEmporium Beginner 4y ago
ยฟCรณmo Desarrollar una APP de Inteligencia Artificial? - Entrevista a AvatART
ML Fundamentals
ยฟCรณmo Desarrollar una APP de Inteligencia Artificial? - Entrevista a AvatART
Dot CSV Beginner 4y ago
Median, Mean, Mode, Percentile | Math, Statistics for data science, machine learning
ML Fundamentals โšก AI Lesson
Median, Mean, Mode, Percentile | Math, Statistics for data science, machine learning
codebasics Beginner 4y ago
Build A Machine Learning Web App From Scratch
ML Fundamentals
Build A Machine Learning Web App From Scratch
Patrick Loeber Beginner 4y ago
GNN Project #1 - Introduction to HIV dataset
ML Fundamentals
GNN Project #1 - Introduction to HIV dataset
DeepFindr Beginner 4y ago
TensorFlow for Deep Learning course Udemy launch Q&A (live)
ML Fundamentals โšก AI Lesson
TensorFlow for Deep Learning course Udemy launch Q&A (live)
Daniel Bourke Beginner 4y ago
AutoML Frameworks Accuracy Comparison with Kaggle Data - Automated Machine Learning
ML Fundamentals
AutoML Frameworks Accuracy Comparison with Kaggle Data - Automated Machine Learning
1littlecoder Beginner 4y ago
Polly Fordyce โ€” Microfluidic Platforms and Machine Learning
ML Fundamentals
Polly Fordyce โ€” Microfluidic Platforms and Machine Learning
Weights & Biases Beginner 4y ago
What is machine learning lifecycle? | What is Model Development Life Cycle (MDLC)? MDLC vs SDLC
ML Fundamentals โšก AI Lesson
What is machine learning lifecycle? | What is Model Development Life Cycle (MDLC)? MDLC vs SDLC
codebasics Beginner 4y ago
Explainable AI Cheat Sheet - Five Key Categories
ML Fundamentals โšก AI Lesson
Explainable AI Cheat Sheet - Five Key Categories
Jay Alammar Beginner 4y ago
W&B Deep Learning Salon - Pulkit Agrawal
ML Fundamentals
W&B Deep Learning Salon - Pulkit Agrawal
Weights & Biases Beginner 4y ago
Community Updates by  Suraj Subramanian | PyTorch Ecosystem Day 2021
ML Fundamentals
Community Updates by Suraj Subramanian | PyTorch Ecosystem Day 2021
PyTorch Beginner 4y ago
Applications of AI and PyTorch in Asia Pacific by Ritchie Ng | PyTorch Ecosystem Day 2021
ML Fundamentals โšก AI Lesson
Applications of AI and PyTorch in Asia Pacific by Ritchie Ng | PyTorch Ecosystem Day 2021
PyTorch Beginner 4y ago
L18.6: A DCGAN for Generating Face Images in PyTorch -- Code Example
ML Fundamentals
L18.6: A DCGAN for Generating Face Images in PyTorch -- Code Example
Sebastian Raschka Beginner 4y ago
L18.5: Tips and Tricks to Make GANs Work
ML Fundamentals
L18.5: Tips and Tricks to Make GANs Work
Sebastian Raschka Beginner 4y ago
Pandemic Machine Learning Pitfalls
ML Fundamentals โšก AI Lesson
Pandemic Machine Learning Pitfalls
Data Skeptic Beginner 5y ago
Decision and Classification Trees, Clearly Explained!!!
ML Fundamentals โšก AI Lesson
Decision and Classification Trees, Clearly Explained!!!
StatQuest with Josh Starmer Beginner 5y ago
Text Generation without Deep Learning - Markov Chain in Python
ML Fundamentals
Text Generation without Deep Learning - Markov Chain in Python
1littlecoder Beginner 5y ago
Top 25 Machine Learning & AI Hackathons To Move To Data Science
ML Fundamentals
Top 25 Machine Learning & AI Hackathons To Move To Data Science
Krish Naik Beginner 4y ago
Is Explainability Table Stakes For An ML Monitoring Solution // Lex Beattie // Meetup short clip
ML Fundamentals โšก AI Lesson
Is Explainability Table Stakes For An ML Monitoring Solution // Lex Beattie // Meetup short clip
MLOps.community Beginner 4y ago
10 Tips To Learn Python Efficiently And Effectively
ML Fundamentals
10 Tips To Learn Python Efficiently And Effectively
Krish Naik Beginner 4y ago
From Idea to Production ML // Lex Beattie - Michael Munn - Mike Moran // MLOps Meetup #61
ML Fundamentals
From Idea to Production ML // Lex Beattie - Michael Munn - Mike Moran // MLOps Meetup #61
MLOps.community Beginner 4y ago
Introduction To Statistics And Its Types For Starters
ML Fundamentals
Introduction To Statistics And Its Types For Starters
Krish Naik Beginner 4y ago
MLOps Memes // Ariel Biller // MLOps Coffee Sessions #37
ML Fundamentals
MLOps Memes // Ariel Biller // MLOps Coffee Sessions #37
MLOps.community Beginner 4y ago
Community Detection : Data Science Concepts
ML Fundamentals
Community Detection : Data Science Concepts
ritvikmath Beginner 4y ago
All Type Of Cross Validation With Python All In 1 Video
ML Fundamentals
All Type Of Cross Validation With Python All In 1 Video
Krish Naik Beginner 4y ago
Normal Distribution and Z Score | Math, Statistics for data science, machine learning
ML Fundamentals
Normal Distribution and Z Score | Math, Statistics for data science, machine learning
codebasics Beginner 4y ago
Drawdata-Python Library To Draw Dataset In Jupyter Notebook
ML Fundamentals
Drawdata-Python Library To Draw Dataset In Jupyter Notebook
Krish Naik Beginner 5y ago
Detect Duplicate Images in Python with CNN using imagededup | Kaggle Notebook
ML Fundamentals
Detect Duplicate Images in Python with CNN using imagededup | Kaggle Notebook
1littlecoder Beginner 5y ago
Luigi in Production Part 2 // Luigi Patruno // MLOps Coffee Sessions #36
ML Fundamentals
Luigi in Production Part 2 // Luigi Patruno // MLOps Coffee Sessions #36
MLOps.community Beginner 5y ago
Deep Learning Interview Series #2- Asked In interview
ML Fundamentals
Deep Learning Interview Series #2- Asked In interview
Krish Naik Beginner 5y ago
Train and Debug YOLOv5 Models with Weights & Biases Integration | YOLOv5 Series Part 0
ML Fundamentals
Train and Debug YOLOv5 Models with Weights & Biases Integration | YOLOv5 Series Part 0
Weights & Biases Beginner 5y ago
L18.4: A GAN for Generating Handwritten Digits in PyTorch -- Code Example
ML Fundamentals
L18.4: A GAN for Generating Handwritten Digits in PyTorch -- Code Example
Sebastian Raschka Beginner 5y ago
L18.3: Modifying the GAN Loss Function for Practical Use
ML Fundamentals
L18.3: Modifying the GAN Loss Function for Practical Use
Sebastian Raschka Beginner 5y ago
L18.2: The GAN Objective
ML Fundamentals
L18.2: The GAN Objective
Sebastian Raschka Beginner 5y ago
L18.1: The Main Idea Behind GANs
ML Fundamentals
L18.1: The Main Idea Behind GANs
Sebastian Raschka Beginner 5y ago
L18.0: Introduction to Generative Adversarial Networks -- Lecture Overview
ML Fundamentals
L18.0: Introduction to Generative Adversarial Networks -- Lecture Overview
Sebastian Raschka Beginner 5y ago
๐Ÿ“š Coursera Courses Opens on Coursera ยท Free to audit
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Structuring Machine Learning Projects
๐Ÿ“š Coursera Course โ†—
Self-paced
Structuring Machine Learning Projects
Opens on Coursera โ†—
Python Fundamentals: Apply Data Structures
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Self-paced
Python Fundamentals: Apply Data Structures
Opens on Coursera โ†—
Build a Machine Learning Image Classifier with Python
๐Ÿ“š Coursera Course โ†—
Self-paced
Build a Machine Learning Image Classifier with Python
Opens on Coursera โ†—
Building Regression Models with Linear Algebra
๐Ÿ“š Coursera Course โ†—
Self-paced
Building Regression Models with Linear Algebra
Opens on Coursera โ†—
Face Recognition with Keras: Detect & Classify
๐Ÿ“š Coursera Course โ†—
Self-paced
Face Recognition with Keras: Detect & Classify
Opens on Coursera โ†—
Electric Motor Modeling and Control
๐Ÿ“š Coursera Course โ†—
Self-paced
Electric Motor Modeling and Control
Opens on Coursera โ†—