Foundations

ML Fundamentals

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

13114
lessons
Aggressively Helpful Platform Teams // Stefan Krawczyk // MLOps Coffee Sessions #49
ML Fundamentals
Aggressively Helpful Platform Teams // Stefan Krawczyk // MLOps Coffee Sessions #49
MLOps.community Beginner 4y ago
Podcast with Minhaaj Rehman on Data Science and Psychology
ML Fundamentals
Podcast with Minhaaj Rehman on Data Science and Psychology
Data Professor Beginner 4y ago
My Salary As A Data Scientist From Starting Of My Career
ML Fundamentals
My Salary As A Data Scientist From Starting Of My Career
Krish Naik Beginner 4y ago
Spatiotemporal Data Analysis with Rose Yu - #508
ML Fundamentals
Spatiotemporal Data Analysis with Rose Yu - #508
The TWIML AI Podcast with Sam Charrington Advanced 4y ago
Kaggle's 30 Days Of ML (Day-8): What is a machine learning model and what is pandas all about?
ML Fundamentals
Kaggle's 30 Days Of ML (Day-8): What is a machine learning model and what is pandas all about?
Abhishek Thakur Beginner 4y ago
Building an ML Platform from Scratch: Live Coding Session - Part 2 //Alon Gubkin // MLOps Meetup #74
ML Fundamentals
Building an ML Platform from Scratch: Live Coding Session - Part 2 //Alon Gubkin // MLOps Meetup #74
MLOps.community Beginner 4y ago
Kaggle 30 Days of ML - Day 7 - Python Libraries & Operator Overloading - Learn Python ML in 30 Days
ML Fundamentals
Kaggle 30 Days of ML - Day 7 - Python Libraries & Operator Overloading - Learn Python ML in 30 Days
1littlecoder Beginner 4y ago
Kaggle's 30 Days Of ML (Day-7): Working with external libraries in Python (final python day)
ML Fundamentals
Kaggle's 30 Days Of ML (Day-7): Working with external libraries in Python (final python day)
Abhishek Thakur Beginner 4y ago
Top 7 Best Extensions In VSCode For Python Programming That I Use For Data Science Projects
ML Fundamentals
Top 7 Best Extensions In VSCode For Python Programming That I Use For Data Science Projects
Krish Naik Intermediate 4y ago
Kaggle 30 Days of ML - Day 6 - Python String, Dictionary - Learn Python ML in 30 Days
ML Fundamentals
Kaggle 30 Days of ML - Day 6 - Python String, Dictionary - Learn Python ML in 30 Days
1littlecoder Beginner 4y ago
(Not) Discussing the Web @ 30 Years Old - Computerphile
ML Fundamentals
(Not) Discussing the Web @ 30 Years Old - Computerphile
Computerphile Intermediate 4y ago
W&B Fastbook Reading Group — 9. Training SOTA on ImageNet
ML Fundamentals
W&B Fastbook Reading Group — 9. Training SOTA on ImageNet
Weights & Biases Beginner 4y ago
What is the model identifiability problem? | Explained in 60 seconds! | ❓ #AICoffeeBreakQuiz #Shorts
ML Fundamentals
What is the model identifiability problem? | Explained in 60 seconds! | ❓ #AICoffeeBreakQuiz #Shorts
AI Coffee Break with Letitia Beginner 4y ago
Best practices for ML product decisions (ML Tech Talks)
ML Fundamentals
Best practices for ML product decisions (ML Tech Talks)
TensorFlow Beginner 4y ago
tf serving tutorial | tensorflow serving tutorial | Deep Learning Tutorial 48 (Tensorflow, Python)
ML Fundamentals
tf serving tutorial | tensorflow serving tutorial | Deep Learning Tutorial 48 (Tensorflow, Python)
codebasics Beginner 4y ago
Use stratified sampling with train_test_split
ML Fundamentals
Use stratified sampling with train_test_split
Data School Beginner 4y ago
Demo your ML models + learn NLP from the best (Hugging Face 🤗) | Machine Learning Monthly July 2021
ML Fundamentals
Demo your ML models + learn NLP from the best (Hugging Face 🤗) | Machine Learning Monthly July 2021
Daniel Bourke Beginner 4y ago
What is Self Supervised Learning?
ML Fundamentals
What is Self Supervised Learning?
codebasics Beginner 4y ago
Saddle points vs. local minima in high dimensional spaces | ❓ #AICoffeeBreakQuiz #Shorts
ML Fundamentals
Saddle points vs. local minima in high dimensional spaces | ❓ #AICoffeeBreakQuiz #Shorts
AI Coffee Break with Letitia Beginner 4y ago
Deep & Cross Network (Building recommendation systems with TensorFlow)
ML Fundamentals
Deep & Cross Network (Building recommendation systems with TensorFlow)
TensorFlow Intermediate 4y ago
Prune a decision tree to avoid overfitting
ML Fundamentals
Prune a decision tree to avoid overfitting
Data School Beginner 4y ago
Neural Networks from Scratch - P.9 Introducing Optimization and derivatives
ML Fundamentals
Neural Networks from Scratch - P.9 Introducing Optimization and derivatives
sentdex Beginner 4y ago
Shapley Values : Data Science Concepts
ML Fundamentals
Shapley Values : Data Science Concepts
ritvikmath Beginner 4y ago
Predicting Urban Land Use
ML Fundamentals
Predicting Urban Land Use
Data Skeptic Beginner 4y ago
Colorize Black & White Images in Python
ML Fundamentals
Colorize Black & White Images in Python
NeuralNine Beginner 4y ago
Are you Losing Motivation for Programming? Follow These Steps To Overcome It
ML Fundamentals
Are you Losing Motivation for Programming? Follow These Steps To Overcome It
Krish Naik Intermediate 4y ago
Kaggle 30 Days of ML - Day 5 - Python Loops, List Comprehension - Learn Python ML in 30 Days
ML Fundamentals
Kaggle 30 Days of ML - Day 5 - Python Loops, List Comprehension - Learn Python ML in 30 Days
1littlecoder Beginner 4y ago
How To Land The Right Data Science Job
ML Fundamentals
How To Land The Right Data Science Job
Krish Naik Intermediate 4y ago
Kaggle 30 Days of ML - Day 5 - Python List, Tuples - Learn Python ML in 30 Days
ML Fundamentals
Kaggle 30 Days of ML - Day 5 - Python List, Tuples - Learn Python ML in 30 Days
1littlecoder Beginner 4y ago
Kaggle's 30 Days Of ML (Day-6): Python Strings and Dictionaries
ML Fundamentals
Kaggle's 30 Days Of ML (Day-6): Python Strings and Dictionaries
Abhishek Thakur Beginner 4y ago
Kaggle's 30 Days Of ML (Day-5, Part-2): Python Loops and List Comprehension
ML Fundamentals
Kaggle's 30 Days Of ML (Day-5, Part-2): Python Loops and List Comprehension
Abhishek Thakur Beginner 4y ago
Kaggle's 30 Days Of ML (Day-5, Part-1): Python Lists and Tuples
ML Fundamentals
Kaggle's 30 Days Of ML (Day-5, Part-1): Python Lists and Tuples
Abhishek Thakur Beginner 4y ago
2nd Tier And 3rd Tier Colleges To Data Scientist Or Data Analyst Role- Yes It Is Possible🔥🔥🔥
ML Fundamentals
2nd Tier And 3rd Tier Colleges To Data Scientist Or Data Analyst Role- Yes It Is Possible🔥🔥🔥
Krish Naik Intermediate 4y ago
Three Blocks of MLOps Modular Level // Emmanuel Raj // Meetup #69 short clip
ML Fundamentals
Three Blocks of MLOps Modular Level // Emmanuel Raj // Meetup #69 short clip
MLOps.community Intermediate 4y ago
7 Days Plan To Learn Statistics For Data Analyst And Data Scientist
ML Fundamentals
7 Days Plan To Learn Statistics For Data Analyst And Data Scientist
Krish Naik Beginner 4y ago
Kaggle 30 Days of ML - Day 4 - Python Boolean, Conditionals, IF-ELSE - Learn Python ML in 30 Days
ML Fundamentals
Kaggle 30 Days of ML - Day 4 - Python Boolean, Conditionals, IF-ELSE - Learn Python ML in 30 Days
1littlecoder Beginner 4y ago
Kaggle's 30 Days Of ML (Day-4): Python Booleans and Conditionals
ML Fundamentals
Kaggle's 30 Days Of ML (Day-4): Python Booleans and Conditionals
Abhishek Thakur Beginner 4y ago
Announcing iNeuron Data Science Open Internship To All With 15+ Different Domains Projects
ML Fundamentals
Announcing iNeuron Data Science Open Internship To All With 15+ Different Domains Projects
Krish Naik Intermediate 4y ago
Kaggle's 30 Days Of ML (Day-3): Python Functions
ML Fundamentals
Kaggle's 30 Days Of ML (Day-3): Python Functions
Abhishek Thakur Beginner 4y ago
Kaggle 30 Days of ML - Day 3 - Python Functions & Help - Learn Python ML in 30 Days
ML Fundamentals
Kaggle 30 Days of ML - Day 3 - Python Functions & Help - Learn Python ML in 30 Days
1littlecoder Beginner 4y ago
Kaggle's 30 Days Of ML (Day-2): Say Hello to Python: variables, types and arithmetic operations
ML Fundamentals
Kaggle's 30 Days Of ML (Day-2): Say Hello to Python: variables, types and arithmetic operations
Abhishek Thakur Beginner 4y ago
Kaggle 30 Days of ML - Day 2 - Python Basics - Learn Python ML in 30 Days
ML Fundamentals
Kaggle 30 Days of ML - Day 2 - Python Basics - Learn Python ML in 30 Days
1littlecoder Beginner 4y ago
Kaggle 30 Days of ML - Day 1 - Becoming Kaggle Contributor - Learn Python ML in 30 Days
ML Fundamentals
Kaggle 30 Days of ML - Day 1 - Becoming Kaggle Contributor - Learn Python ML in 30 Days
1littlecoder Beginner 4y ago
Kaggle's 30 Days Of ML (Day-1): Getting Started With Kaggle
ML Fundamentals
Kaggle's 30 Days Of ML (Day-1): Getting Started With Kaggle
Abhishek Thakur Beginner 4y ago
20+ Data Science Project Ideas From 5 Domains
ML Fundamentals
20+ Data Science Project Ideas From 5 Domains
Krish Naik Intermediate 4y ago
Analyzing Python Data Quickly with Mito
ML Fundamentals
Analyzing Python Data Quickly with Mito
Krish Naik Beginner 4y ago
The Easiest way to create a README For Github
ML Fundamentals
The Easiest way to create a README For Github
Krish Naik Intermediate 4y ago
30+ Python Practice Problem Set For Data analyst And Data Scientist- Part 1
ML Fundamentals
30+ Python Practice Problem Set For Data analyst And Data Scientist- Part 1
Krish Naik Beginner 4y ago
📚 Coursera Courses Opens on Coursera · Free to audit
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Approximation Algorithms
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Self-paced
Approximation Algorithms
Opens on Coursera ↗
Deep Learning with PyTorch : Object Localization
📚 Coursera Course ↗
Self-paced
Deep Learning with PyTorch : Object Localization
Opens on Coursera ↗
AWS: Machine Learning & MLOps Foundations
📚 Coursera Course ↗
Self-paced
AWS: Machine Learning & MLOps Foundations
Opens on Coursera ↗
Deploy ML Models to Production
📚 Coursera Course ↗
Self-paced
Deploy ML Models to Production
Opens on Coursera ↗
Build Image Quality Inspection using AWS Lookout for Vision
📚 Coursera Course ↗
Self-paced
Build Image Quality Inspection using AWS Lookout for Vision
Opens on Coursera ↗
Machine Learning with Small Data Part 2
📚 Coursera Course ↗
Self-paced
Machine Learning with Small Data Part 2
Opens on Coursera ↗