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📐 ML Fundamentals

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

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Part 2- Creating and Running a Hello World app in Android Studio
ML Fundamentals
Part 2- Creating and Running a Hello World app in Android Studio
Krish Naik Beginner 4y ago
Running Simulations as a Data Scientist | Monte Carlo
ML Fundamentals
Running Simulations as a Data Scientist | Monte Carlo
CodeEmporium Beginner 4y ago
The Smallest Data Science Resume- Feedback On Resumes
ML Fundamentals
The Smallest Data Science Resume- Feedback On Resumes
Krish Naik Intermediate 4y ago
PyTorch Book Reading - 2. Tensors, Autograd & NNs in PyTorch
ML Fundamentals
PyTorch Book Reading - 2. Tensors, Autograd & NNs in PyTorch
Weights & Biases Beginner 4y ago
Kaggle 30 Days of ML (Day 19) - Understanding SHAP Summary Plot - Interpretable Machine Learning
ML Fundamentals
Kaggle 30 Days of ML (Day 19) - Understanding SHAP Summary Plot - Interpretable Machine Learning
1littlecoder Beginner 4y ago
Chai Time Kaggle Talks with Shahul ES & Vignesh Baskaran - Moving from 1100th to 40th place
ML Fundamentals
Chai Time Kaggle Talks with Shahul ES & Vignesh Baskaran - Moving from 1100th to 40th place
Weights & Biases Beginner 4y ago
dabl - A Python library for AutoEDA and AutoML
ML Fundamentals
dabl - A Python library for AutoEDA and AutoML
Data Professor 2 Beginner 4y ago
Data Science Podcast with Tyler Richards (Facebook Data Scientist)
ML Fundamentals
Data Science Podcast with Tyler Richards (Facebook Data Scientist)
Data Professor Beginner 4y ago
How Machine Learning uses Linear Algebra to solve data problems
ML Fundamentals
How Machine Learning uses Linear Algebra to solve data problems
Harshit Tyagi Beginner 4y ago
Programming with Proofs - Computerphile
ML Fundamentals
Programming with Proofs - Computerphile
Computerphile Intermediate 4y ago
Talks S2E4 (Lavanya Shukla): Reproducible machine learning at scale
ML Fundamentals
Talks S2E4 (Lavanya Shukla): Reproducible machine learning at scale
Abhishek Thakur Beginner 4y ago
Splitting Datasets in Python With scikit-learn and train_test_split()
ML Fundamentals
Splitting Datasets in Python With scikit-learn and train_test_split()
Real Python Beginner 4y ago
This AI Helps Making A Music Video! 💃
ML Fundamentals
This AI Helps Making A Music Video! 💃
Two Minute Papers Beginner 4y ago
Add feature selection to a Pipeline
ML Fundamentals
Add feature selection to a Pipeline
Data School Beginner 4y ago
Building and deploying your first machine learning app in Python using Gradio
ML Fundamentals
Building and deploying your first machine learning app in Python using Gradio
Data Professor Beginner 4y ago
Reading the first 42 pages of my first novel (Charlie Walks) out loud
ML Fundamentals
Reading the first 42 pages of my first novel (Charlie Walks) out loud
Daniel Bourke Beginner 4y ago
Taking the leap to pursue a passion in Machine Learning with Leigh Johnson #IamaGDE
ML Fundamentals
Taking the leap to pursue a passion in Machine Learning with Leigh Johnson #IamaGDE
Google for Developers Beginner 4y ago
Kaggle's 30 Days Of ML (Competition Part-7): What are public and private leaderboard?
ML Fundamentals
Kaggle's 30 Days Of ML (Competition Part-7): What are public and private leaderboard?
Abhishek Thakur Intermediate 4y ago
How to be a Data Scientist | from a Data Scientist
ML Fundamentals
How to be a Data Scientist | from a Data Scientist
CodeEmporium Intermediate 4y ago
Approximate Nearest Neighbors : Data Science Concepts
ML Fundamentals
Approximate Nearest Neighbors : Data Science Concepts
ritvikmath Intermediate 4y ago
Machine Learning Course for Beginners
ML Fundamentals
Machine Learning Course for Beginners
freeCodeCamp.org Beginner 4y ago
Intelligent Telegram AI Classifies Images in Python
ML Fundamentals
Intelligent Telegram AI Classifies Images in Python
NeuralNine Intermediate 4y ago
Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI | Lex Fridman Podcast #215
ML Fundamentals
Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI | Lex Fridman Podcast #215
Lex Fridman Beginner 4y ago
Channel update: reflecting on why I make videos and thoughts on future videos
ML Fundamentals
Channel update: reflecting on why I make videos and thoughts on future videos
Aladdin Persson Beginner 4y ago
Text Classification Using BERT & Tensorflow | Deep Learning Tutorial 47 (Tensorflow, Keras & Python)
ML Fundamentals
Text Classification Using BERT & Tensorflow | Deep Learning Tutorial 47 (Tensorflow, Keras & Python)
codebasics Beginner 4y ago
Buying a GPU for Deep Learning? Don't make this MISTAKE! #shorts
ML Fundamentals
Buying a GPU for Deep Learning? Don't make this MISTAKE! #shorts
Nicholas Renotte Beginner 4y ago
Deep learning project end to end | Potato Disease Classification - 5 : Website (In React JS)
ML Fundamentals
Deep learning project end to end | Potato Disease Classification - 5 : Website (In React JS)
codebasics Beginner 4y ago
Use AUC to evaluate multiclass problems
ML Fundamentals
Use AUC to evaluate multiclass problems
Data School Beginner 4y ago
PyTorch Community Voices | PennyLane | Tom & Josh
ML Fundamentals
PyTorch Community Voices | PennyLane | Tom & Josh
PyTorch Beginner 4y ago
SGT Working Group Aug 24, 2021 - mlctl and hydrosphere Open Source MLOps Libraries Demo
ML Fundamentals
SGT Working Group Aug 24, 2021 - mlctl and hydrosphere Open Source MLOps Libraries Demo
MLOps.community Beginner 4y ago
Happy Teacher's Day Everyone
ML Fundamentals
Happy Teacher's Day Everyone
Krish Naik Intermediate 4y ago
How To Write Data Science Project Description In Resumes
ML Fundamentals
How To Write Data Science Project Description In Resumes
Krish Naik Intermediate 4y ago
Working through "What is torch.nn really?"
ML Fundamentals
Working through "What is torch.nn really?"
Weights & Biases Beginner 4y ago
What is Cloud Computing In Layman Terms
ML Fundamentals
What is Cloud Computing In Layman Terms
Krish Naik Beginner 4y ago
Deploy Weights & Biases On-prem with Terraform Cloud
ML Fundamentals
Deploy Weights & Biases On-prem with Terraform Cloud
Weights & Biases Beginner 4y ago
W&B Fastbook Reading Group — 13. Our first CNNs from scratch
ML Fundamentals
W&B Fastbook Reading Group — 13. Our first CNNs from scratch
Weights & Biases Beginner 4y ago
How Would I Learn Data Science If I Want To Start Over?
ML Fundamentals
How Would I Learn Data Science If I Want To Start Over?
Krish Naik Beginner 4y ago
Btech Degree In Data Science  In Collaboration With KIET Group Of Institution And iNeuron
ML Fundamentals
Btech Degree In Data Science In Collaboration With KIET Group Of Institution And iNeuron
Krish Naik Intermediate 4y ago
Prerequisites To Apply For Data Scientist And Data Analyst Role Internship In iNeuron
ML Fundamentals
Prerequisites To Apply For Data Scientist And Data Analyst Role Internship In iNeuron
Krish Naik Intermediate 4y ago
PyTorch Book Reading - 1. PyTorch basics, Tensors & NNs in PyTorch
ML Fundamentals
PyTorch Book Reading - 1. PyTorch basics, Tensors & NNs in PyTorch
Weights & Biases Beginner 4y ago
Step By Step Process In EDA And Feature Engineering In Data Science Projects
ML Fundamentals
Step By Step Process In EDA And Feature Engineering In Data Science Projects
Krish Naik Intermediate 4y ago
Gartner Hype Cycle Of Emerging Technologies 2021 Is Out
ML Fundamentals
Gartner Hype Cycle Of Emerging Technologies 2021 Is Out
Krish Naik Beginner 4y ago
W&B Fastbook Reading Group — 12. What is a convolution, really?
ML Fundamentals
W&B Fastbook Reading Group — 12. What is a convolution, really?
Weights & Biases Beginner 4y ago
Kaggle's 30 Days Of ML (Competition Part-6): Model Stacking
ML Fundamentals
Kaggle's 30 Days Of ML (Competition Part-6): Model Stacking
Abhishek Thakur Intermediate 4y ago
Building a Simple Digits Image Classification Model
ML Fundamentals
Building a Simple Digits Image Classification Model
Data Professor Beginner 4y ago
Deep learning project end to end | Potato Disease Classification - 4 : FastAPI/tf serving Backend
ML Fundamentals
Deep learning project end to end | Potato Disease Classification - 4 : FastAPI/tf serving Backend
codebasics Beginner 4y ago
Work Is More Important Than Role- Focus More On The Work⭐⭐⭐⭐
ML Fundamentals
Work Is More Important Than Role- Focus More On The Work⭐⭐⭐⭐
Krish Naik Intermediate 4y ago
Kaggle's 30 Days Of ML (Competition Part-5): Model Blending 101
ML Fundamentals
Kaggle's 30 Days Of ML (Competition Part-5): Model Blending 101
Abhishek Thakur Beginner 4y ago