Foundations

ML Fundamentals

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

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lessons
Entri Elevate Supply Anthem ft.  @ShabareeshVarmaOfficial| @officialFejo| Varkey
📐 ML Fundamentals
Entri Elevate Supply Anthem ft. @ShabareeshVarmaOfficial| @officialFejo| Varkey
Entri Coding മലയാളം Beginner 3y ago
Synthetic Dataset Creation for Machine Learning - Blender and Python
📐 ML Fundamentals
Synthetic Dataset Creation for Machine Learning - Blender and Python
Rob Mulla Beginner 3y ago
Every Distance in Data Science (Almost 100K Subs!)
📐 ML Fundamentals
Every Distance in Data Science (Almost 100K Subs!)
ritvikmath Beginner 3y ago
Introduction to Positive Unlabeled (PU) Learning | DataHour | Analytics Vidhya
📐 ML Fundamentals
Introduction to Positive Unlabeled (PU) Learning | DataHour | Analytics Vidhya
Analytics Vidhya Beginner 3y ago
Bias and Variance, Simplified
📐 ML Fundamentals
Bias and Variance, Simplified
Underfitted Beginner 3y ago
Never Trust an AI Demo
📐 ML Fundamentals
Never Trust an AI Demo
The TWIML AI Podcast with Sam Charrington Beginner 3y ago
Less Profit, More Humanity in Startup Culture
📐 ML Fundamentals
Less Profit, More Humanity in Startup Culture
The TWIML AI Podcast with Sam Charrington Beginner 3y ago
ML for everyone with Kemu - Made with TensorFlow.js
📐 ML Fundamentals
ML for everyone with Kemu - Made with TensorFlow.js
TensorFlow Beginner 3y ago
How to setup python in your system - Part 2 | Python Malayalam Tutorial For Beginners| Entri Elevate
📐 ML Fundamentals
How to setup python in your system - Part 2 | Python Malayalam Tutorial For Beginners| Entri Elevate
Entri Coding മലയാളം Beginner 3y ago
BITS Pilani BSc Computer Science Online Programme Admissions Webinar
📐 ML Fundamentals
BITS Pilani BSc Computer Science Online Programme Admissions Webinar
Coursera Beginner 3y ago
Logistic Regression - Is it Linear Regression?
📐 ML Fundamentals
Logistic Regression - Is it Linear Regression?
CodeEmporium Beginner 3y ago
Stanford Webinar - CRISPR - 10 Years of Genome Editing and More
📐 ML Fundamentals
Stanford Webinar - CRISPR - 10 Years of Genome Editing and More
Stanford Online Beginner 3y ago
Making AI work for Business | DataHour | Analytics Vidhya
📐 ML Fundamentals
Making AI work for Business | DataHour | Analytics Vidhya
Analytics Vidhya Beginner 3y ago
Stanford Seminar - ML Explainability Part 3 I Post hoc Explanation Methods
📐 ML Fundamentals
Stanford Seminar - ML Explainability Part 3 I Post hoc Explanation Methods
Stanford Online Beginner 3y ago
AI Just Solved a 53-Year-Old Problem! | AlphaTensor, Explained
📐 ML Fundamentals
AI Just Solved a 53-Year-Old Problem! | AlphaTensor, Explained
Underfitted Beginner 3y ago
Now Developing Your Deep Learning Application Is Easy Using Neurolab
📐 ML Fundamentals
Now Developing Your Deep Learning Application Is Easy Using Neurolab
Krish Naik Beginner 3y ago
AI vs Spinner
📐 ML Fundamentals
AI vs Spinner
AI Warehouse Beginner 3y ago
Track Your PyTorch Machine Learning Experiments with Weights & Biases
📐 ML Fundamentals
Track Your PyTorch Machine Learning Experiments with Weights & Biases
Weights & Biases Beginner 3y ago
Happy Halloween (Neural Networks Are Not Scary)
📐 ML Fundamentals
Happy Halloween (Neural Networks Are Not Scary)
StatQuest with Josh Starmer Beginner 3y ago
AI Agent Learns to Escape (deep reinforcement learning)
📐 ML Fundamentals
AI Agent Learns to Escape (deep reinforcement learning)
AI Warehouse Beginner 3y ago
If Top Chess.com Players were STOCKS - Live Coding Data Anaylsis Stream
📐 ML Fundamentals
If Top Chess.com Players were STOCKS - Live Coding Data Anaylsis Stream
Rob Mulla Beginner 3y ago
I tried building a AUTO MACHINE LEARNING Web App 15 Minutes
📐 ML Fundamentals
I tried building a AUTO MACHINE LEARNING Web App 15 Minutes
Nicholas Renotte Beginner 3y ago
Lightning talks: AI in life sciences
📐 ML Fundamentals
Lightning talks: AI in life sciences
Microsoft Research Beginner 3y ago
Gradio Crash Course - Fastest way to build & share Machine Learning apps
📐 ML Fundamentals
Gradio Crash Course - Fastest way to build & share Machine Learning apps
AssemblyAI Beginner 3y ago
Create and Deploy Custom AI Models with NVIDIA TAO on Azure ML
📐 ML Fundamentals
Create and Deploy Custom AI Models with NVIDIA TAO on Azure ML
NVIDIA Developer Beginner 3y ago
Grocery store recommendation systems with HarperDB and Web ML - Made with TensorFlow.js
📐 ML Fundamentals
Grocery store recommendation systems with HarperDB and Web ML - Made with TensorFlow.js
TensorFlow Beginner 3y ago
Tribal Marketing
📐 ML Fundamentals
Tribal Marketing
Data Skeptic Beginner 3y ago
Voice and Language Tech // Catherin Breslin // Coffee Sessions #129
📐 ML Fundamentals
Voice and Language Tech // Catherin Breslin // Coffee Sessions #129
MLOps.community Beginner 3y ago
Neural Networks are Decision Trees (w/ Alexander Mattick)
📐 ML Fundamentals
Neural Networks are Decision Trees (w/ Alexander Mattick)
Yannic Kilcher Beginner 3y ago
I tried building an ML Cancer Segmentation API in 15 Minutes
📐 ML Fundamentals
I tried building an ML Cancer Segmentation API in 15 Minutes
Nicholas Renotte Beginner 3y ago
Introduction to Python - Part 1 | Python Malayalam Tutorial For Beginners | Entri Elevate
📐 ML Fundamentals
Introduction to Python - Part 1 | Python Malayalam Tutorial For Beginners | Entri Elevate
Entri Coding മലയാളം Beginner 3y ago
Stanford Seminar - ML Explainability Part 2 I Inherently Interpretable Models
📐 ML Fundamentals
Stanford Seminar - ML Explainability Part 2 I Inherently Interpretable Models
Stanford Online Beginner 3y ago
The Great MLOps Debate End to End ML Platforms vs Specialized Tools - #597
📐 ML Fundamentals
The Great MLOps Debate End to End ML Platforms vs Specialized Tools - #597
The TWIML AI Podcast with Sam Charrington Beginner 3y ago
Introduction to Classification using Azure Machine Learning | DataHour | Analytics Vidhya
📐 ML Fundamentals
Introduction to Classification using Azure Machine Learning | DataHour | Analytics Vidhya
Analytics Vidhya Beginner 3y ago
Stanford CS330: Deep Multi-Task & Meta Learning I 2021 I Lecture 18
📐 ML Fundamentals
Stanford CS330: Deep Multi-Task & Meta Learning I 2021 I Lecture 18
Stanford Online Beginner 3y ago
Stanford CS330: Deep Multi-Task & Meta Learning I 2021 I Lecture 17
📐 ML Fundamentals
Stanford CS330: Deep Multi-Task & Meta Learning I 2021 I Lecture 17
Stanford Online Beginner 3y ago
8 Mistakes Holding Your Career Back | Machine Learning
📐 ML Fundamentals
8 Mistakes Holding Your Career Back | Machine Learning
Underfitted Beginner 3y ago
Solving any Machine Learning Problem | Approach and Steps Involved
📐 ML Fundamentals
Solving any Machine Learning Problem | Approach and Steps Involved
Analytics Vidhya Beginner 3y ago
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 16
📐 ML Fundamentals
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 16
Stanford Online Beginner 3y ago
Entri Elevate Meet Up | Entri Codecast
📐 ML Fundamentals
Entri Elevate Meet Up | Entri Codecast
Entri Coding മലയാളം Beginner 3y ago
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 15
📐 ML Fundamentals
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 15
Stanford Online Beginner 3y ago
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 14
📐 ML Fundamentals
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 14
Stanford Online Beginner 3y ago
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 13
📐 ML Fundamentals
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 13
Stanford Online Beginner 3y ago
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 12
📐 ML Fundamentals
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 12
Stanford Online Beginner 3y ago
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 11
📐 ML Fundamentals
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 11
Stanford Online Beginner 3y ago
TensorFlow.js Community "Show & Tell" #8
📐 ML Fundamentals
TensorFlow.js Community "Show & Tell" #8
TensorFlow Beginner 3y ago
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 10
📐 ML Fundamentals
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 10
Stanford Online Beginner 3y ago
Ensemble Techniques in Machine Learning #machinelearning #ensemble #datascience
📐 ML Fundamentals
Ensemble Techniques in Machine Learning #machinelearning #ensemble #datascience
Analytics Vidhya Beginner 3y ago
📚 Coursera Courses Opens on Coursera · Free to audit
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Pengantar AI dan Machine Learning di Google Cloud
📚 Coursera Course ↗
Self-paced
Pengantar AI dan Machine Learning di Google Cloud
Opens on Coursera ↗
Logistic Regression with NumPy and Python
📚 Coursera Course ↗
Self-paced
Logistic Regression with NumPy and Python
Opens on Coursera ↗
Reinforcement Learning
📚 Coursera Course ↗
Self-paced
Reinforcement Learning
Opens on Coursera ↗
Automate, Validate, and Promote ML Models Safely
📚 Coursera Course ↗
Self-paced
Automate, Validate, and Promote ML Models Safely
Opens on Coursera ↗
Digital Marketing Tools: Machine Learning and AI
📚 Coursera Course ↗
Self-paced
Digital Marketing Tools: Machine Learning and AI
Opens on Coursera ↗
Introduction to Social Media Analytics
📚 Coursera Course ↗
Self-paced
Introduction to Social Media Analytics
Opens on Coursera ↗