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
3 Tips to Build a Career in Machine Learning (Unconventional Advice)
ML Fundamentals ⚡ AI Lesson
3 Tips to Build a Career in Machine Learning (Unconventional Advice)
Underfitted Beginner 3y ago
Solve this Data Science Interview Question From Product Based Company
ML Fundamentals
Solve this Data Science Interview Question From Product Based Company
Krish Naik Beginner 3y ago
Experimentation and Optimization with SigOpt
ML Fundamentals ⚡ AI Lesson
Experimentation and Optimization with SigOpt
The TWIML AI Podcast with Sam Charrington Beginner 3y ago
Maintaining Model Lineage with Weights & Biases Model Registry with Weights & Biases
ML Fundamentals ⚡ AI Lesson
Maintaining Model Lineage with Weights & Biases Model Registry with Weights & Biases
The TWIML AI Podcast with Sam Charrington Beginner 3y ago
FAANG Interview DSA Series-Heap Sort,Binary Tree,Min Heap and Max Heap Tree AND Interview Questions
ML Fundamentals
FAANG Interview DSA Series-Heap Sort,Binary Tree,Min Heap and Max Heap Tree AND Interview Questions
Krish Naik Beginner 3y ago
Oxford Executive Diploma in Organisational Leadership: Views from the classroom and beyond
ML Fundamentals
Oxford Executive Diploma in Organisational Leadership: Views from the classroom and beyond
Saïd Business School, University of Oxford Beginner 3y ago
Introduction to 10 Years of Impact
ML Fundamentals
Introduction to 10 Years of Impact
Saïd Business School, University of Oxford Beginner 3y ago
The Impact of AI for Social Good
ML Fundamentals
The Impact of AI for Social Good
DeepLearningAI Beginner 3y ago
#102 How an Always-Learning Culture Drives Innovation at Shopify (with Ella Hilal)
ML Fundamentals
#102 How an Always-Learning Culture Drives Innovation at Shopify (with Ella Hilal)
DataCamp Beginner 3y ago
Think Retail on Air 2022 - Meet the Holiday Moment with Machine Learning | Google Ads
ML Fundamentals
Think Retail on Air 2022 - Meet the Holiday Moment with Machine Learning | Google Ads
Google Ads Beginner 3y ago
MLOps at DoorDash // Hien Luu and DoorDash Leads //  Coffee Sessions #119
ML Fundamentals ⚡ AI Lesson
MLOps at DoorDash // Hien Luu and DoorDash Leads // Coffee Sessions #119
MLOps.community Beginner 3y ago
The Confusion Matrix in Machine Learning
ML Fundamentals
The Confusion Matrix in Machine Learning
Underfitted Beginner 3y ago
How to use Stable Diffusion to generate AI Art
ML Fundamentals ⚡ AI Lesson
How to use Stable Diffusion to generate AI Art
Aladdin Persson Beginner 3y ago
[old version] Track Your Keras Machine Learning Experiments with Weights & Biases
ML Fundamentals
[old version] Track Your Keras Machine Learning Experiments with Weights & Biases
Weights & Biases Beginner 3y ago
How to get started with AI Art using MidJourney - Prompt engineering and tips & tricks
ML Fundamentals
How to get started with AI Art using MidJourney - Prompt engineering and tips & tricks
Aladdin Persson Beginner 3y ago
Building a Neural Network with PyTorch in 15 Minutes | Coding Challenge
ML Fundamentals
Building a Neural Network with PyTorch in 15 Minutes | Coding Challenge
Nicholas Renotte Beginner 3y ago
#101 How Real-Time Data Accelerates Business Outcomes (with George Trujillo)
ML Fundamentals
#101 How Real-Time Data Accelerates Business Outcomes (with George Trujillo)
DataCamp Beginner 3y ago
This is the EASY way to FIX IMBALANCED Machine Learning DATASETS #shorts
ML Fundamentals
This is the EASY way to FIX IMBALANCED Machine Learning DATASETS #shorts
Nicholas Renotte Beginner 3y ago
Intro to Natural Language Processing (NLP)
ML Fundamentals ⚡ AI Lesson
Intro to Natural Language Processing (NLP)
deeplizard Beginner 3y ago
From Expectations to Synthetic Data Generation // Fabiana Clemente // MLOps  Meetup #109
ML Fundamentals ⚡ AI Lesson
From Expectations to Synthetic Data Generation // Fabiana Clemente // MLOps Meetup #109
MLOps.community Beginner 3y ago
Study with Me - Fast.AI's Deep Learning Course - 3. Deep Neural Networks
ML Fundamentals
Study with Me - Fast.AI's Deep Learning Course - 3. Deep Neural Networks
1littlecoder Beginner 3y ago
NLP Intro For Text - Sentiment Analysis With Deep Learning - Course Overview
ML Fundamentals ⚡ AI Lesson
NLP Intro For Text - Sentiment Analysis With Deep Learning - Course Overview
deeplizard Beginner 3y ago
The spelled-out intro to neural networks and backpropagation: building micrograd
ML Fundamentals ⚡ AI Lesson
The spelled-out intro to neural networks and backpropagation: building micrograd
Andrej Karpathy Beginner 3y ago
Learn machine learning EASILY and FREE👩‍💻 #technology #programming #software #machinelearning
0:34
ML Fundamentals ⚡ AI Lesson
Learn machine learning EASILY and FREE👩‍💻 #technology #programming #software #machinelearning
Coding with Lewis Beginner 3y ago
Data Science Uncut - Data Shootout Kaggle Competition (Aug 1 2022 Stream)
ML Fundamentals
Data Science Uncut - Data Shootout Kaggle Competition (Aug 1 2022 Stream)
Rob Mulla Beginner 3y ago
How to Optimize PPC Campaigns for Specific Conversions & Account Goal Settings - 2022 Tutorial
ML Fundamentals ⚡ AI Lesson
How to Optimize PPC Campaigns for Specific Conversions & Account Goal Settings - 2022 Tutorial
Ray Sawvell Beginner 3y ago
TikTok Attribution Manager
ML Fundamentals
TikTok Attribution Manager
Paid Media Pros Beginner 3y ago
How To Prepare And Overcome Fear In Maths For Data Science- Follow This Approach
ML Fundamentals
How To Prepare And Overcome Fear In Maths For Data Science- Follow This Approach
Krish Naik Beginner 3y ago
DSA-Discussing All Search Algorithms With Interview Based Questions- Ft: Priya Bhatia
ML Fundamentals
DSA-Discussing All Search Algorithms With Interview Based Questions- Ft: Priya Bhatia
Krish Naik Beginner 3y ago
Trackersheet That Can Make You From Zero To HERO In Data Science
ML Fundamentals
Trackersheet That Can Make You From Zero To HERO In Data Science
Krish Naik Beginner 3y ago
Cracking Data Science Interview Is Easy By This Approach!! Solve this Problem
ML Fundamentals
Cracking Data Science Interview Is Easy By This Approach!! Solve this Problem
Krish Naik Beginner 3y ago
Just Watch!!
ML Fundamentals
Just Watch!!
Krish Naik Beginner 3y ago
Quick CheatSheet To Prepare For Statistics For Data Analyst And Data Scientist
ML Fundamentals
Quick CheatSheet To Prepare For Statistics For Data Analyst And Data Scientist
Krish Naik Beginner 3y ago
Early Stopping. The Most Popular Regularization Technique In Machine Learning.
ML Fundamentals
Early Stopping. The Most Popular Regularization Technique In Machine Learning.
Underfitted Beginner 3y ago
How To Get 1cr Data Scientist Package?
ML Fundamentals
How To Get 1cr Data Scientist Package?
Krish Naik Beginner 3y ago
Data Science Mock Interview iNeuron FSDS Batch With Feedbacks
ML Fundamentals
Data Science Mock Interview iNeuron FSDS Batch With Feedbacks
Krish Naik Beginner 3y ago
DataCamp Recruit: A better way to hire data professionals
ML Fundamentals ⚡ AI Lesson
DataCamp Recruit: A better way to hire data professionals
DataCamp Beginner 3y ago
Machine Learning Classification with Python....BUT AUTOMATED?!
ML Fundamentals
Machine Learning Classification with Python....BUT AUTOMATED?!
Nicholas Renotte Beginner 3y ago
Building the Gradient Descent Algorithm in 15 Minutes | Coding Challenge
ML Fundamentals
Building the Gradient Descent Algorithm in 15 Minutes | Coding Challenge
Nicholas Renotte Beginner 3y ago
Day 11-Advance NLP Series-Bidirectional LSTM Intuition And Implementation Deep Learning|Krish Naik
ML Fundamentals
Day 11-Advance NLP Series-Bidirectional LSTM Intuition And Implementation Deep Learning|Krish Naik
Krish Naik Beginner 3y ago
Building regression MACHINE LEARNING models but in 7 automated lines of code?!?
ML Fundamentals
Building regression MACHINE LEARNING models but in 7 automated lines of code?!?
Nicholas Renotte Beginner 3y ago
Tons of Machine Learning FEATURE data? Try this!
ML Fundamentals
Tons of Machine Learning FEATURE data? Try this!
Nicholas Renotte Beginner 3y ago
Why is it called "DEEP" Learning? 🤔🧠 - Topic 009 #ai #ml
ML Fundamentals ⚡ AI Lesson
Why is it called "DEEP" Learning? 🤔🧠 - Topic 009 #ai #ml
deeplizard Beginner 3y ago
How I Easily Optimized My Blogging Website In Minutes With 10Web Booster
ML Fundamentals
How I Easily Optimized My Blogging Website In Minutes With 10Web Booster
Krish Naik Beginner 3y ago
Deep Learning Defined for Beginners 🧠📘 - Topic 008 #ai #ml
ML Fundamentals ⚡ AI Lesson
Deep Learning Defined for Beginners 🧠📘 - Topic 008 #ai #ml
deeplizard Beginner 3y ago
AUTOMATED calculus in Tensorflow with Python?
ML Fundamentals ⚡ AI Lesson
AUTOMATED calculus in Tensorflow with Python?
Nicholas Renotte Beginner 3y ago
Machine Learning Defined for Beginners 🤖📘 - Topic 007 #ai #ml
ML Fundamentals ⚡ AI Lesson
Machine Learning Defined for Beginners 🤖📘 - Topic 007 #ai #ml
deeplizard Beginner 3y ago
Building a Machine Learning API in 15 Minutes | Coding Challenge
ML Fundamentals
Building a Machine Learning API in 15 Minutes | Coding Challenge
Nicholas Renotte Beginner 3y ago
📚 Coursera Courses Opens on Coursera · Free to audit
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Uso de Python para Acceder a Datos Web
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Self-paced
Uso de Python para Acceder a Datos Web
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Matrix Calculus for Data Science & Machine Learning
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Self-paced
Matrix Calculus for Data Science & Machine Learning
Opens on Coursera ↗
Clustering and Classification with Machine Learning in R
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Self-paced
Clustering and Classification with Machine Learning in R
Opens on Coursera ↗
Innovating with Google Cloud Artificial Intelligence - Português Brasileiro
📚 Coursera Course ↗
Self-paced
Innovating with Google Cloud Artificial Intelligence - Português Brasileiro
Opens on Coursera ↗
Deep Learning with TensorFlow: Build Neural Networks
📚 Coursera Course ↗
Self-paced
Deep Learning with TensorFlow: Build Neural Networks
Opens on Coursera ↗
Create Image Captioning Models - Deutsch
📚 Coursera Course ↗
Self-paced
Create Image Captioning Models - Deutsch
Opens on Coursera ↗