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
Gauge Equivariant Convolutional Networks and the Icosahedral CNN
ML Fundamentals
Gauge Equivariant Convolutional Networks and the Icosahedral CNN
Yannic Kilcher Intermediate 6y ago
What should be your Salary Expectation as a Data Scientist?
ML Fundamentals
What should be your Salary Expectation as a Data Scientist?
Krish Naik Intermediate 6y ago
Step By Step Transition Towards Data Science
ML Fundamentals
Step By Step Transition Towards Data Science
Krish Naik Intermediate 6y ago
Multi Programming - Computerphile
ML Fundamentals ⚡ AI Lesson
Multi Programming - Computerphile
Computerphile Intermediate 6y ago
Onyx
ML Fundamentals ⚡ AI Lesson
Onyx
Data Skeptic Intermediate 6y ago
16. Video Frame Prediction using CNNs and LSTMs (2019)
ML Fundamentals
16. Video Frame Prediction using CNNs and LSTMs (2019)
Weights & Biases Intermediate 6y ago
Hyperparameter Tuning and Experimenting - Training Deep Neural Networks
ML Fundamentals ⚡ AI Lesson
Hyperparameter Tuning and Experimenting - Training Deep Neural Networks
deeplizard Intermediate 6y ago
Phoenix Realtime Chat Application - Channels, Presence, and Ecto Relations - Part 3
ML Fundamentals ⚡ AI Lesson
Phoenix Realtime Chat Application - Channels, Presence, and Ecto Relations - Part 3
Tensor Programming Intermediate 6y ago
ASU's Online Master of Computer Science [Admissions Q&A - July 11]
ML Fundamentals
ASU's Online Master of Computer Science [Admissions Q&A - July 11]
Coursera Intermediate 6y ago
Simulation and Synthetic Data for Computer Vision with Batu Arisoy - TWiML Talk #281
ML Fundamentals ⚡ AI Lesson
Simulation and Synthetic Data for Computer Vision with Batu Arisoy - TWiML Talk #281
The TWIML AI Podcast with Sam Charrington Intermediate 6y ago
Phoenix Realtime Chat Application - Authentication, Sessions and Plugs - Part 2
ML Fundamentals
Phoenix Realtime Chat Application - Authentication, Sessions and Plugs - Part 2
Tensor Programming Intermediate 6y ago
My first week running an online business
ML Fundamentals
My first week running an online business
Daniel Bourke Intermediate 6y ago
CNN Training Loop Explained - Neural Network Code Project
ML Fundamentals ⚡ AI Lesson
CNN Training Loop Explained - Neural Network Code Project
deeplizard Intermediate 6y ago
Inside TensorFlow: Functions, not sessions
ML Fundamentals ⚡ AI Lesson
Inside TensorFlow: Functions, not sessions
TensorFlow Intermediate 6y ago
Inside TensorFlow: Resources and Variants
ML Fundamentals ⚡ AI Lesson
Inside TensorFlow: Resources and Variants
TensorFlow Intermediate 6y ago
ASU's Online Master of Computer Science - Special Webinar - May 2019
ML Fundamentals
ASU's Online Master of Computer Science - Special Webinar - May 2019
Coursera Intermediate 6y ago
Snorkel: A System for Fast Training Data Creation with Alex Ratner - TWiML Talk #270
ML Fundamentals ⚡ AI Lesson
Snorkel: A System for Fast Training Data Creation with Alex Ratner - TWiML Talk #270
The TWIML AI Podcast with Sam Charrington Intermediate 6y ago
Feature Engineering-How to Perform One Hot Encoding for Multi Categorical Variables
ML Fundamentals
Feature Engineering-How to Perform One Hot Encoding for Multi Categorical Variables
Krish Naik Intermediate 6y ago
Complete Life Cycle of a Data Science Project
ML Fundamentals
Complete Life Cycle of a Data Science Project
Krish Naik Intermediate 6y ago
My Path on Becoming a Data Scientist- Motivation
ML Fundamentals
My Path on Becoming a Data Scientist- Motivation
Krish Naik Intermediate 6y ago
Train Test Split vs K Fold vs Stratified K fold Cross Validation
ML Fundamentals
Train Test Split vs K Fold vs Stratified K fold Cross Validation
Krish Naik Intermediate 6y ago
Tutorial 1- Weighted hybrid technique for Recommender system
ML Fundamentals
Tutorial 1- Weighted hybrid technique for Recommender system
Krish Naik Intermediate 6y ago
Python Application to Track Amazon Product Prices
ML Fundamentals
Python Application to Track Amazon Product Prices
Krish Naik Intermediate 6y ago
Recommendation Systems using Machine Learning
ML Fundamentals
Recommendation Systems using Machine Learning
Krish Naik Intermediate 6y ago
Tutorial 8- Exploding Gradient Problem in Neural Network
ML Fundamentals
Tutorial 8- Exploding Gradient Problem in Neural Network
Krish Naik Intermediate 6y ago
Tutorial 6-Chain Rule of Differentiation with BackPropagation
ML Fundamentals
Tutorial 6-Chain Rule of Differentiation with BackPropagation
Krish Naik Intermediate 6y ago
Tutorial 5- How to train MultiLayer Neural Network and Gradient Descent
ML Fundamentals
Tutorial 5- How to train MultiLayer Neural Network and Gradient Descent
Krish Naik Intermediate 6y ago
Tutorial 4: How to train Neural Network with BackPropogation
ML Fundamentals
Tutorial 4: How to train Neural Network with BackPropogation
Krish Naik Intermediate 6y ago
Malaria Disease Detection using Deep Learning
ML Fundamentals
Malaria Disease Detection using Deep Learning
Krish Naik Intermediate 6y ago
How to Read Dataset in Google Colab from Google Drive
ML Fundamentals
How to Read Dataset in Google Colab from Google Drive
Krish Naik Intermediate 6y ago
Finding an outlier in a dataset using Python
ML Fundamentals
Finding an outlier in a dataset using Python
Krish Naik Intermediate 6y ago
Diabetes Prediction using Machine Learning from Kaggle
ML Fundamentals
Diabetes Prediction using Machine Learning from Kaggle
Krish Naik Intermediate 6y ago
How to choose number of hidden layers and nodes in Neural Network
ML Fundamentals
How to choose number of hidden layers and nodes in Neural Network
Krish Naik Intermediate 6y ago
Why, How and When to Scale Features in Machine Learning?
ML Fundamentals
Why, How and When to Scale Features in Machine Learning?
Krish Naik Intermediate 6y ago
Credit card Risk Assessment using Machine Learning
ML Fundamentals
Credit card Risk Assessment using Machine Learning
Krish Naik Intermediate 6y ago
Phoenix Realtime Chat Application - Setting Up CRUD - Part 1
ML Fundamentals
Phoenix Realtime Chat Application - Setting Up CRUD - Part 1
Tensor Programming Intermediate 6y ago
DNA Sequencing Classifier using  Machine Learning
ML Fundamentals
DNA Sequencing Classifier using Machine Learning
Krish Naik Intermediate 6y ago
Hyperparameter Optimization for Xgboost
ML Fundamentals
Hyperparameter Optimization for Xgboost
Krish Naik Intermediate 6y ago
Credit Card Fraud Detection using Machine Learning from Kaggle
ML Fundamentals
Credit Card Fraud Detection using Machine Learning from Kaggle
Krish Naik Intermediate 6y ago
Voting Classifier(Hard Voting and Soft Voting Classifier)
ML Fundamentals
Voting Classifier(Hard Voting and Soft Voting Classifier)
Krish Naik Intermediate 6y ago
Stock Sentiment Analysis using News Headlines
ML Fundamentals
Stock Sentiment Analysis using News Headlines
Krish Naik Intermediate 6y ago
Predicting Lungs Disease using Deep Learning
ML Fundamentals
Predicting Lungs Disease using Deep Learning
Krish Naik Intermediate 6y ago
Predicting Heart Disease using Machine Learning
ML Fundamentals
Predicting Heart Disease using Machine Learning
Krish Naik Intermediate 6y ago
Deployment of Deep Learning Model using Flask
ML Fundamentals
Deployment of Deep Learning Model using Flask
Krish Naik Intermediate 6y ago
Deploy Machine Learning Model using Flask
ML Fundamentals
Deploy Machine Learning Model using Flask
Krish Naik Intermediate 6y ago
ChangeNotifiers and Provider - Live Coding with Flutter
ML Fundamentals ⚡ AI Lesson
ChangeNotifiers and Provider - Live Coding with Flutter
Tensor Programming Intermediate 6y ago
Building Animated Buttons with Flare - Live Coding with Flutter
ML Fundamentals
Building Animated Buttons with Flare - Live Coding with Flutter
Tensor Programming Intermediate 6y ago
Flutter YouTube Video Application - Live Coding with Flutter
ML Fundamentals ⚡ AI Lesson
Flutter YouTube Video Application - Live Coding with Flutter
Tensor Programming Intermediate 6y ago
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Debug Neural Networks: Analyze Training Dynamics
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Prediction and Control with Function Approximation
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Developing Explainable AI (XAI)
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Introduction to High-Performance and Parallel Computing
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Introduction to High-Performance and Parallel Computing
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Classification and Planned Experiments
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Classification and Planned Experiments
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Computational Neuroscience
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Computational Neuroscience
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