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📐 ML Fundamentals

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

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What Do A Data Scientist Do?
ML Fundamentals
What Do A Data Scientist Do?
Krish Naik Intermediate 6y ago
Inside TensorFlow: tf.distribute.Strategy
ML Fundamentals
Inside TensorFlow: tf.distribute.Strategy
TensorFlow Intermediate 6y ago
Why Do We Need to Perform Feature Scaling?
ML Fundamentals
Why Do We Need to Perform Feature Scaling?
Krish Naik Intermediate 6y ago
Model Understanding and Business Reality (TensorFlow Extended)
ML Fundamentals
Model Understanding and Business Reality (TensorFlow Extended)
TensorFlow Beginner 6y ago
Tesla is Going to Win Level 5 - George Hotz | AI Podcast Clips
ML Fundamentals
Tesla is Going to Win Level 5 - George Hotz | AI Podcast Clips
Lex Fridman Beginner 6y ago
Gauge Equivariant Convolutional Networks and the Icosahedral CNN
ML Fundamentals
Gauge Equivariant Convolutional Networks and the Icosahedral CNN
Yannic Kilcher Intermediate 6y ago
The Problem with Black Boxes with Cynthia Rudin - TWIML Talk #290
ML Fundamentals
The Problem with Black Boxes with Cynthia Rudin - TWIML Talk #290
The TWIML AI Podcast with Sam Charrington Beginner 6y ago
Siamese Neural Networks
ML Fundamentals
Siamese Neural Networks
Connor Shorten Advanced 6y ago
Manifold Mixup: Better Representations by Interpolating Hidden States
ML Fundamentals
Manifold Mixup: Better Representations by Interpolating Hidden States
Yannic Kilcher Beginner 6y ago
Multi Programming - Computerphile
ML Fundamentals
Multi Programming - Computerphile
Computerphile Intermediate 6y ago
Troubleshooting and Iterating ML Models with Lee Redden (2019)
ML Fundamentals
Troubleshooting and Iterating ML Models with Lee Redden (2019)
Weights & Biases Beginner 6y ago
Applied Deep Learning - Troubleshooting and Debugging with Josh Tobin (2019)
ML Fundamentals
Applied Deep Learning - Troubleshooting and Debugging with Josh Tobin (2019)
Weights & Biases Beginner 6y ago
University of Illinois Master of Computer Science (& MCS-DS) - a top-ranked degree
ML Fundamentals
University of Illinois Master of Computer Science (& MCS-DS) - a top-ranked degree
Coursera Beginner 6y ago
Automated ML for RNA Design with Danny Stoll - TWIML Talk #288
ML Fundamentals
Automated ML for RNA Design with Danny Stoll - TWIML Talk #288
The TWIML AI Podcast with Sam Charrington Advanced 6y ago
Crash Course Artificial Intelligence Preview
ML Fundamentals
Crash Course Artificial Intelligence Preview
CrashCourse Beginner 6y ago
Before Raspberry Pi and Arduino - Computerphile
ML Fundamentals
Before Raspberry Pi and Arduino - Computerphile
Computerphile Intermediate 6y ago
The Projects You Should Do To Get A Data Science Job
ML Fundamentals
The Projects You Should Do To Get A Data Science Job
Ken Jee Beginner 6y ago
Different Types of Feature Engineering Encoding Techniques
ML Fundamentals
Different Types of Feature Engineering Encoding Techniques
Krish Naik Intermediate 6y ago
How to Crack Data Science Interviews- Motivations
ML Fundamentals
How to Crack Data Science Interviews- Motivations
Krish Naik 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
Tutorial 37: Entropy In Decision Tree Intuition
ML Fundamentals
Tutorial 37: Entropy In Decision Tree Intuition
Krish Naik Beginner 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
What is Cross Validation and its types?
ML Fundamentals
What is Cross Validation and its types?
Krish Naik Beginner 6y ago
Tutorial 19- Training Artificial Neural Network using Google Colab GPU
ML Fundamentals
Tutorial 19- Training Artificial Neural Network using Google Colab GPU
Krish Naik Beginner 6y ago
Distributed Processing and Components (TensorFlow Extended)
ML Fundamentals
Distributed Processing and Components (TensorFlow Extended)
TensorFlow Beginner 6y ago
Tutorial 18- Hyper parameter Tuning To Decide Number of Hidden Layers in Neural Network
ML Fundamentals
Tutorial 18- Hyper parameter Tuning To Decide Number of Hidden Layers in Neural Network
Krish Naik Beginner 6y ago
Tutorial 17- Create Artificial Neural Network using Weight Initialization Tricks
ML Fundamentals
Tutorial 17- Create Artificial Neural Network using Weight Initialization Tricks
Krish Naik Beginner 6y ago
TWiML x Fast.ai Deep Learning Part 2 Study Group - Lesson 5
ML Fundamentals
TWiML x Fast.ai Deep Learning Part 2 Study Group - Lesson 5
The TWIML AI Podcast with Sam Charrington Beginner 6y ago
Reconciling modern machine learning and the bias-variance trade-off
ML Fundamentals
Reconciling modern machine learning and the bias-variance trade-off
Yannic Kilcher Advanced 6y ago
Tutorial 4- Book Recommendation using Collaborative Filtering
ML Fundamentals
Tutorial 4- Book Recommendation using Collaborative Filtering
Krish Naik Beginner 6y ago
Tutorial 16- AdaDelta and RMSprop optimizer
ML Fundamentals
Tutorial 16- AdaDelta and RMSprop optimizer
Krish Naik Beginner 6y ago
Tutorial 3- Book Recommendation System using Pearson Correlation
ML Fundamentals
Tutorial 3- Book Recommendation System using Pearson Correlation
Krish Naik Beginner 6y ago
Tutorial 2- Creating Recommendation Systems using Nearest Neighbors
ML Fundamentals
Tutorial 2- Creating Recommendation Systems using Nearest Neighbors
Krish Naik Beginner 6y ago
Developing a brain atlas using deep learning with Theofanis Karayannis - TWIML Talk #287
ML Fundamentals
Developing a brain atlas using deep learning with Theofanis Karayannis - TWIML Talk #287
The TWIML AI Podcast with Sam Charrington Beginner 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
Tutorial 15- Adagrad Optimizers in Neural Network
ML Fundamentals
Tutorial 15- Adagrad Optimizers in Neural Network
Krish Naik Beginner 6y ago
Tutorial 14- Stochastic Gradient Descent with Momentum
ML Fundamentals
Tutorial 14- Stochastic Gradient Descent with Momentum
Krish Naik Beginner 6y ago
Why do I need metadata? (TensorFlow Extended)
ML Fundamentals
Why do I need metadata? (TensorFlow Extended)
TensorFlow Beginner 6y ago
Environmental Impact of Large-Scale NLP Model Training with Emma Strubell - TWIML Talk #286
ML Fundamentals
Environmental Impact of Large-Scale NLP Model Training with Emma Strubell - TWIML Talk #286
The TWIML AI Podcast with Sam Charrington Advanced 6y ago
Tutorial 13- Global Minima and Local Minima in Depth Understanding
ML Fundamentals
Tutorial 13- Global Minima and Local Minima in Depth Understanding
Krish Naik Beginner 6y ago
Tutorial 12- Stochastic Gradient Descent vs Gradient Descent
ML Fundamentals
Tutorial 12- Stochastic Gradient Descent vs Gradient Descent
Krish Naik Beginner 6y ago
TWiML x Fast.ai Deep Learning Part 2 Study Group - Lesson 4
ML Fundamentals
TWiML x Fast.ai Deep Learning Part 2 Study Group - Lesson 4
The TWIML AI Podcast with Sam Charrington Beginner 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
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NVIDIA: Fundamentals of Deep Learning
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NVIDIA: Fundamentals of Deep Learning
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Recommender Systems: An Applied Approach using Deep Learning
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Recommender Systems: An Applied Approach using Deep Learning
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Fundamentals of Machine Learning in Finance
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Fundamentals of Machine Learning in Finance
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AWS Artificial Intelligence Practitioner
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AWS Artificial Intelligence Practitioner
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AI Integration in Healthcare Patient Data
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AI Integration in Healthcare Patient Data
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K-Means Clustering 101: World Happiness Report
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K-Means Clustering 101: World Happiness Report
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