Foundations

ML Fundamentals

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

8493
lessons
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
Prune a decision tree to avoid overfitting
📐 ML Fundamentals
Prune a decision tree to avoid overfitting
Data School Beginner 4y ago
Analyzing Python Data Quickly with Mito
📐 ML Fundamentals
Analyzing Python Data Quickly with Mito
Krish Naik 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
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
W&B Study Group: fastai w/ Hugging Face 4/4
📐 ML Fundamentals
W&B Study Group: fastai w/ Hugging Face 4/4
Weights & Biases Beginner 4y ago
Ishan Misra: Self-Supervised Deep Learning in Computer Vision | Lex Fridman Podcast #206
📐 ML Fundamentals
Ishan Misra: Self-Supervised Deep Learning in Computer Vision | Lex Fridman Podcast #206
Lex Fridman Beginner 4y ago
How Kaggle Helped Him Become ML Engineer With Mechanical Engineer Degree
📐 ML Fundamentals
How Kaggle Helped Him Become ML Engineer With Mechanical Engineer Degree
codebasics Beginner 4y ago
20. Asynchronous Distributed Algorithms: Shortest-Paths Spanning Trees
📐 ML Fundamentals
20. Asynchronous Distributed Algorithms: Shortest-Paths Spanning Trees
MIT OpenCourseWare Beginner 4y ago
What if Data Science was a Building Block? (Dolphyn)
📐 ML Fundamentals
What if Data Science was a Building Block? (Dolphyn)
Data Professor Beginner 4y ago
Reinforcement Learning Course: Intro to Advanced Actor Critic Methods
📐 ML Fundamentals
Reinforcement Learning Course: Intro to Advanced Actor Critic Methods
freeCodeCamp.org Beginner 4y ago
Working With DataFrames In Pandas
📐 ML Fundamentals
Working With DataFrames In Pandas
Real Python Beginner 4y ago
W&B Fastbook Reading Group — 8. Regression  (+ Kaggle's Cassava classification competition)
📐 ML Fundamentals
W&B Fastbook Reading Group — 8. Regression (+ Kaggle's Cassava classification competition)
Weights & Biases Beginner 4y ago
Federated learning: Basics and application to the mobile keyboard (ML Tech Talks)
📐 ML Fundamentals
Federated learning: Basics and application to the mobile keyboard (ML Tech Talks)
TensorFlow Beginner 4y ago
Visualize a decision tree two different ways
📐 ML Fundamentals
Visualize a decision tree two different ways
Data School Beginner 4y ago
Tour of Upcoming Features on the Hugging Face Model Hub// Julien Chaumond //MLOps Coffee Sessions#48
📐 ML Fundamentals
Tour of Upcoming Features on the Hugging Face Model Hub// Julien Chaumond //MLOps Coffee Sessions#48
MLOps.community Beginner 4y ago
Opportunities for Skillful Weather Prediction
📐 ML Fundamentals
Opportunities for Skillful Weather Prediction
Data Skeptic Beginner 4y ago
#67 Operationalizing Machine Learning with MLOps (with Alessya Visnjic)
📐 ML Fundamentals
#67 Operationalizing Machine Learning with MLOps (with Alessya Visnjic)
DataCamp Beginner 4y ago
Shadow IT/Shadow MLOps/Shadow DevOps // Korri Jones // Meetup #68 short clip
📐 ML Fundamentals
Shadow IT/Shadow MLOps/Shadow DevOps // Korri Jones // Meetup #68 short clip
MLOps.community Beginner 4y ago
Intuitive Intro To Generative Adversarial Networks - GAN Course Preview
📐 ML Fundamentals
Intuitive Intro To Generative Adversarial Networks - GAN Course Preview
deeplizard Beginner 4y ago
Text Classification Using BERT & Tensorflow | Deep Learning Tutorial 47 (Tensorflow, Keras & Python)
📐 ML Fundamentals
Text Classification Using BERT & Tensorflow | Deep Learning Tutorial 47 (Tensorflow, Keras & Python)
codebasics Beginner 4y ago
TPM (Trusted Platform Module) - Computerphile
📐 ML Fundamentals
TPM (Trusted Platform Module) - Computerphile
Computerphile Beginner 4y ago
Build a Deep Learning Selfie Segmentation Web App using Gradio
📐 ML Fundamentals
Build a Deep Learning Selfie Segmentation Web App using Gradio
Nicholas Renotte Beginner 4y ago
Introduction to NVIDIA TensorRT for High Performance Deep Learning Inference
📐 ML Fundamentals
Introduction to NVIDIA TensorRT for High Performance Deep Learning Inference
NVIDIA Developer Beginner 4y ago
Boosted Trees & Deep Neural Networks for Better Recommender Systems | Grandmaster Series E6
📐 ML Fundamentals
Boosted Trees & Deep Neural Networks for Better Recommender Systems | Grandmaster Series E6
NVIDIA Developer Beginner 4y ago
ISID Heightens Value Buried in Text Using Azure Machine Learning and PyTorch
📐 ML Fundamentals
ISID Heightens Value Buried in Text Using Azure Machine Learning and PyTorch
PyTorch Beginner 4y ago
Master ML Papers without Losing Your Sh*t
📐 ML Fundamentals
Master ML Papers without Losing Your Sh*t
Nicholas Renotte Beginner 4y ago
Machine Learning Model Drift - Concept Drift & Data Drift in ML - Explanation
📐 ML Fundamentals
Machine Learning Model Drift - Concept Drift & Data Drift in ML - Explanation
1littlecoder Beginner 4y ago
Acer Predator Helios 300 With Nvidia RTX 3060  Deep learning Benchmarking, Get The Speed You Want😎🎉😎
📐 ML Fundamentals
Acer Predator Helios 300 With Nvidia RTX 3060 Deep learning Benchmarking, Get The Speed You Want😎🎉😎
Krish Naik Beginner 4y ago
12 days Plan To Learn Python For Data Analyst And Data Science
📐 ML Fundamentals
12 days Plan To Learn Python For Data Analyst And Data Science
Krish Naik Beginner 4y ago
Xavier Amatriain — Building AI-powered Primary Care
📐 ML Fundamentals
Xavier Amatriain — Building AI-powered Primary Care
Weights & Biases Beginner 4y ago
Why healthcare AI won’t replace human doctors with Curai's Xavier Amatriain
📐 ML Fundamentals
Why healthcare AI won’t replace human doctors with Curai's Xavier Amatriain
Weights & Biases Beginner 4y ago
Display the intercept and coefficients for a linear model
📐 ML Fundamentals
Display the intercept and coefficients for a linear model
Data School Beginner 4y ago
W&B Study Group: fastai w/ Hugging Face 3/4
📐 ML Fundamentals
W&B Study Group: fastai w/ Hugging Face 3/4
Weights & Biases Beginner 4y ago
W&B Fastbook Reading Group — 7. Pet Breeds & Multi-label Classification
📐 ML Fundamentals
W&B Fastbook Reading Group — 7. Pet Breeds & Multi-label Classification
Weights & Biases Beginner 4y ago
Use the correct methods for each type of Pipeline
📐 ML Fundamentals
Use the correct methods for each type of Pipeline
Data School Beginner 4y ago
Skills Required For A Data Analyst In 2021- How To Learn By Self Study And For Free in 3 Months
📐 ML Fundamentals
Skills Required For A Data Analyst In 2021- How To Learn By Self Study And For Free in 3 Months
Krish Naik Beginner 4y ago
My New Laptop Acer Predator Helios 300 Unboxing With Nvidia RTX 3060 For Deep Learning And Gaming
📐 ML Fundamentals
My New Laptop Acer Predator Helios 300 Unboxing With Nvidia RTX 3060 For Deep Learning And Gaming
Krish Naik Beginner 4y ago
Why OpenAI disbanded their robotics team
📐 ML Fundamentals
Why OpenAI disbanded their robotics team
Weights & Biases Beginner 4y ago
Compare multiple ROC curves in a single plot
📐 ML Fundamentals
Compare multiple ROC curves in a single plot
Data School Beginner 4y ago
Krish Naik 400k Special Video
📐 ML Fundamentals
Krish Naik 400k Special Video
Krish Naik Beginner 4y ago
Assessing human parity in machine translation with Lilt's Spence Green
📐 ML Fundamentals
Assessing human parity in machine translation with Lilt's Spence Green
Weights & Biases Beginner 4y ago
The limitations of machine translation with Lilt's Spence Green
📐 ML Fundamentals
The limitations of machine translation with Lilt's Spence Green
Weights & Biases Beginner 4y ago
Road To 400K Live Q&A- Ask Anything Related Data Science
📐 ML Fundamentals
Road To 400K Live Q&A- Ask Anything Related Data Science
Krish Naik Beginner 4y ago
Are You Learning Data Science In The Right Way?
📐 ML Fundamentals
Are You Learning Data Science In The Right Way?
Krish Naik Beginner 4y ago
📚 Coursera Courses Opens on Coursera · Free to audit
1 / 3 View all →
Discrete Math for Computer Science - Counting & Probability
📚 Coursera Course ↗
Self-paced
Discrete Math for Computer Science - Counting & Probability
Opens on Coursera ↗
Production Machine Learning Systems - Français
📚 Coursera Course ↗
Self-paced
Production Machine Learning Systems - Français
Opens on Coursera ↗
Pricing Options with Mathematical Models
📚 Coursera Course ↗
Self-paced
Pricing Options with Mathematical Models
Opens on Coursera ↗
Machine Learning Models in Science
📚 Coursera Course ↗
Self-paced
Machine Learning Models in Science
Opens on Coursera ↗
Machine Learning
📚 Coursera Course ↗
Self-paced
Machine Learning
Opens on Coursera ↗
Calculus through Data & Modeling: Applying Differentiation
📚 Coursera Course ↗
Self-paced
Calculus through Data & Modeling: Applying Differentiation
Opens on Coursera ↗