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📐 ML Fundamentals

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

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Coursera Conference Highlight: Mastering For-Credit Online Learning
ML Fundamentals
Coursera Conference Highlight: Mastering For-Credit Online Learning
Coursera Beginner 4y ago
A friendly introduction to linear algebra for ML (ML Tech Talks)
ML Fundamentals ⚡ AI Lesson
A friendly introduction to linear algebra for ML (ML Tech Talks)
TensorFlow Beginner 4y ago
Tensorflow Input Pipeline | tf Dataset | Deep Learning Tutorial 44 (Tensorflow, Keras & Python)
ML Fundamentals
Tensorflow Input Pipeline | tf Dataset | Deep Learning Tutorial 44 (Tensorflow, Keras & Python)
codebasics Beginner 4y ago
10 Deep Learning Projects (Beginner & Advanced)
ML Fundamentals
10 Deep Learning Projects (Beginner & Advanced)
Patrick Loeber Beginner 4y ago
Non-Parametric Transformers | Paper explained
ML Fundamentals
Non-Parametric Transformers | Paper explained
Aleksa Gordić - The AI Epiphany Beginner 4y ago
Exploratory Data Analysis with the Binance API using Python and Pandas | MLTrader EP1
ML Fundamentals
Exploratory Data Analysis with the Binance API using Python and Pandas | MLTrader EP1
Nicholas Renotte Beginner 4y ago
PyTorch Community Voices | TorchIO | Fernando Pérez-García
ML Fundamentals
PyTorch Community Voices | TorchIO | Fernando Pérez-García
PyTorch Beginner 4y ago
What are microfluidic devices? — Polly Fordyce
ML Fundamentals
What are microfluidic devices? — Polly Fordyce
Weights & Biases Beginner 4y ago
AI X Real World
ML Fundamentals ⚡ AI Lesson
AI X Real World
DeepLearningAI Intermediate 4y ago
Bayesian Time Series : Time Series Talk
ML Fundamentals ⚡ AI Lesson
Bayesian Time Series : Time Series Talk
ritvikmath Beginner 4y ago
TensorFlow from the ground up (ML Tech Talks)
ML Fundamentals ⚡ AI Lesson
TensorFlow from the ground up (ML Tech Talks)
TensorFlow Beginner 4y ago
Machine Learning with 10 Data Points - Or an Intro to PyMC3
ML Fundamentals
Machine Learning with 10 Data Points - Or an Intro to PyMC3
ritvikmath Beginner 4y ago
If Machine Learning models were people
ML Fundamentals ⚡ AI Lesson
If Machine Learning models were people
CodeEmporium Beginner 4y ago
Detecting Drift
ML Fundamentals ⚡ AI Lesson
Detecting Drift
Data Skeptic Advanced 4y ago
Practical MLOps Part 2 // Alfredo Deza // MLOps Meetup #66
ML Fundamentals
Practical MLOps Part 2 // Alfredo Deza // MLOps Meetup #66
MLOps.community Beginner 4y ago
Neural Networks from Scratch - P.8 Implementing Loss
ML Fundamentals ⚡ AI Lesson
Neural Networks from Scratch - P.8 Implementing Loss
sentdex Beginner 4y ago
Detecting Facial Keypoints with Deep Learning | a very simple top 5 kaggle solution
ML Fundamentals
Detecting Facial Keypoints with Deep Learning | a very simple top 5 kaggle solution
Aladdin Persson Beginner 4y ago
W&B Fastbook Reading Group — 0. Introduction with Jeremy Howard
ML Fundamentals
W&B Fastbook Reading Group — 0. Introduction with Jeremy Howard
Weights & Biases Beginner 4y ago
What Is Machine Learning? (Explained in 5 Minutes)
ML Fundamentals
What Is Machine Learning? (Explained in 5 Minutes)
365 Data Science Beginner 4y ago
Which Machine Learning model should I use? #shorts
ML Fundamentals ⚡ AI Lesson
Which Machine Learning model should I use? #shorts
CodeEmporium Beginner 4y ago
A Quick Data Science Project Tip! #SHORTS
ML Fundamentals ⚡ AI Lesson
A Quick Data Science Project Tip! #SHORTS
Ken Jee Beginner 4y ago
Deep Learning Computer Vision Interview Series #4-Asked In Interview ⭐ ⭐⭐⭐⭐⭐⭐⭐
ML Fundamentals
Deep Learning Computer Vision Interview Series #4-Asked In Interview ⭐ ⭐⭐⭐⭐⭐⭐⭐
Krish Naik Beginner 4y ago
Directions in ML: Latent Stochastic Differential Equations: An Unexplored Model Class
ML Fundamentals ⚡ AI Lesson
Directions in ML: Latent Stochastic Differential Equations: An Unexplored Model Class
Microsoft Research Intermediate 4y ago
Python for Bioinformatics - Drug Discovery Using Machine Learning and Data Analysis
ML Fundamentals
Python for Bioinformatics - Drug Discovery Using Machine Learning and Data Analysis
freeCodeCamp.org Beginner 4y ago
Tutorial 2-Linear Algebra For ML-How To Add 2 Vectors
ML Fundamentals
Tutorial 2-Linear Algebra For ML-How To Add 2 Vectors
Krish Naik Beginner 4y ago
Convolutions in Deep Learning - Interactive Demo App
ML Fundamentals ⚡ AI Lesson
Convolutions in Deep Learning - Interactive Demo App
deeplizard Intermediate 4y ago
Distributed Training On NVIDIA DGX Station A100 | Deep Learning Tutorial 43 (Tensorflow & Python)
ML Fundamentals
Distributed Training On NVIDIA DGX Station A100 | Deep Learning Tutorial 43 (Tensorflow & Python)
codebasics Beginner 4y ago
Buy AND Build for Production Machine Learning with Nir Bar-Lev - #488
ML Fundamentals ⚡ AI Lesson
Buy AND Build for Production Machine Learning with Nir Bar-Lev - #488
The TWIML AI Podcast with Sam Charrington Beginner 4y ago
Detecting Eye Disease using Deep Learning | Kaggle Top 1% Solution, No Ensemble
ML Fundamentals
Detecting Eye Disease using Deep Learning | Kaggle Top 1% Solution, No Ensemble
Aladdin Persson Beginner 4y ago
How To Deploy ML Models With Google Cloud Run
ML Fundamentals ⚡ AI Lesson
How To Deploy ML Models With Google Cloud Run
Patrick Loeber Beginner 4y ago
Create Machine Learning Models in Minutes Using AutoML - AWS Online Tech Talks
ML Fundamentals ⚡ AI Lesson
Create Machine Learning Models in Minutes Using AutoML - AWS Online Tech Talks
AWS Developers Intermediate 4y ago
Win Customers in the New Online Consumer Journey | Google Ads
ML Fundamentals
Win Customers in the New Online Consumer Journey | Google Ads
Google Ads Beginner 4y ago
Causal Modeling in Machine Learning with Robert Ness 5/27/21
ML Fundamentals ⚡ AI Lesson
Causal Modeling in Machine Learning with Robert Ness 5/27/21
The TWIML AI Podcast with Sam Charrington Beginner 4y ago
Quickly Enable Predictive Maintenance Using Amazon Monitron, an End-to-End System
ML Fundamentals
Quickly Enable Predictive Maintenance Using Amazon Monitron, an End-to-End System
AWS Developers Intermediate 4y ago
Exploring Reinforcement Learning Methods from Algorithm to Application
ML Fundamentals ⚡ AI Lesson
Exploring Reinforcement Learning Methods from Algorithm to Application
Microsoft Research Beginner 4y ago
Wojciech Zaremba — What Could Make AI Conscious?
ML Fundamentals
Wojciech Zaremba — What Could Make AI Conscious?
Weights & Biases Beginner 4y ago
Linear Algebra-What is Scalar and Vectors And Its Practical Applications In Machine Learning? ⭐⭐⭐⭐⭐⭐
ML Fundamentals
Linear Algebra-What is Scalar and Vectors And Its Practical Applications In Machine Learning? ⭐⭐⭐⭐⭐⭐
Krish Naik Beginner 4y ago
Success Story Of Ameya- Transition To Devops In Vodafone  At GermanyFt:iNeuron
ML Fundamentals
Success Story Of Ameya- Transition To Devops In Vodafone At GermanyFt:iNeuron
Krish Naik Intermediate 4y ago
Getting started with TensorFlow Cloud
ML Fundamentals ⚡ AI Lesson
Getting started with TensorFlow Cloud
TensorFlow Beginner 4y ago
Normal Vectors : Data Science Basics
ML Fundamentals ⚡ AI Lesson
Normal Vectors : Data Science Basics
ritvikmath Beginner 4y ago
Explaining An End To End Machine Learning Project To A Interviewer
ML Fundamentals
Explaining An End To End Machine Learning Project To A Interviewer
Krish Naik Beginner 4y ago
Success Story Of Dhruv- Transition As Data Scientist In McKinsey & Company
ML Fundamentals
Success Story Of Dhruv- Transition As Data Scientist In McKinsey & Company
Krish Naik Intermediate 4y ago
Install YOLOv5 to Detect Objects on Windows & Google Colab with PyTorch GPU Support | Part 1
ML Fundamentals
Install YOLOv5 to Detect Objects on Windows & Google Colab with PyTorch GPU Support | Part 1
Weights & Biases Beginner 4y ago
Success Story Of Rahul- Transition From Support To Data Analyst|ft: iNeuron
ML Fundamentals
Success Story Of Rahul- Transition From Support To Data Analyst|ft: iNeuron
Krish Naik Intermediate 4y ago
Phil Brown — How IPUs are Advancing Machine Intelligence
ML Fundamentals
Phil Brown — How IPUs are Advancing Machine Intelligence
Weights & Biases Advanced 4y ago
Success Story Of Purvansh- How He Got Into GSOC In The Field Of Machine Learning| Ft:iNeuron
ML Fundamentals
Success Story Of Purvansh- How He Got Into GSOC In The Field Of Machine Learning| Ft:iNeuron
Krish Naik Beginner 4y ago
Harnessing the problem-solving power of quantum computing
ML Fundamentals ⚡ AI Lesson
Harnessing the problem-solving power of quantum computing
Microsoft Research Beginner 4y ago
Success Story Of Sarthak- Transition From Mechanical Engineer To Data Science- Ft:iNeuron
ML Fundamentals
Success Story Of Sarthak- Transition From Mechanical Engineer To Data Science- Ft:iNeuron
Krish Naik Intermediate 4y ago