Foundations

ML Fundamentals

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

8493
lessons
W&B Fastbook Reading Group — 6. Pet Breeds
📐 ML Fundamentals
W&B Fastbook Reading Group — 6. Pet Breeds
Weights & Biases Beginner 4y ago
Plot a confusion matrix
📐 ML Fundamentals
Plot a confusion matrix
Data School Beginner 4y ago
Machine Learning Web App In Python In 60 Seconds! #Shorts
📐 ML Fundamentals
Machine Learning Web App In Python In 60 Seconds! #Shorts
Patrick Loeber Beginner 4y ago
Cosine similarity, cosine distance explained | Math, Statistics for data science, machine learning
📐 ML Fundamentals
Cosine similarity, cosine distance explained | Math, Statistics for data science, machine learning
codebasics Beginner 4y ago
Announcing AWS Cloud Master And AIOPS , MLOPS Affordable Course From iNeuron
📐 ML Fundamentals
Announcing AWS Cloud Master And AIOPS , MLOPS Affordable Course From iNeuron
Krish Naik Beginner 4y ago
Build a Simple Language Translation App using Python for Beginners
📐 ML Fundamentals
Build a Simple Language Translation App using Python for Beginners
Nicholas Renotte Beginner 4y ago
Coding Thompson Sampling : Data Science Code
📐 ML Fundamentals
Coding Thompson Sampling : Data Science Code
ritvikmath Beginner 4y ago
The origin of data science and data scientists with DJ Patil and Roger Magoulas
📐 ML Fundamentals
The origin of data science and data scientists with DJ Patil and Roger Magoulas
Weights & Biases Beginner 4y ago
⏩ How AI (Deep Learning) Understand Images in 1 Minute (Part 2) 💻👁‍ #shorts
📐 ML Fundamentals
⏩ How AI (Deep Learning) Understand Images in 1 Minute (Part 2) 💻👁‍ #shorts
What's AI by Louis-François Bouchard Beginner 4y ago
Important tuning parameters for LogisticRegression
📐 ML Fundamentals
Important tuning parameters for LogisticRegression
Data School Beginner 4y ago
Learning from 150 Successful ML-enabled Products at Booking.com // Pablo Estevez // Coffee Ses'n #46
📐 ML Fundamentals
Learning from 150 Successful ML-enabled Products at Booking.com // Pablo Estevez // Coffee Ses'n #46
MLOps.community Beginner 4y ago
How to run A/B Tests as a Data Scientist!
📐 ML Fundamentals
How to run A/B Tests as a Data Scientist!
CodeEmporium Beginner 4y ago
Learning, Applying, and Making ML Rewarding
📐 ML Fundamentals
Learning, Applying, and Making ML Rewarding
Deep Learning Revision Beginner 4y ago
24. Robustness to Dataset Shift
📐 ML Fundamentals
24. Robustness to Dataset Shift
MIT OpenCourseWare Beginner 4y ago
Take a risk or stay safe? // Alfredo Deza // Meetup #66 short clip
📐 ML Fundamentals
Take a risk or stay safe? // Alfredo Deza // Meetup #66 short clip
MLOps.community Beginner 4y ago
Huge Openings Data Scientist, ML engineer, Data Analyst For Freshers In PAYPAL 2021-Start Applying
📐 ML Fundamentals
Huge Openings Data Scientist, ML engineer, Data Analyst For Freshers In PAYPAL 2021-Start Applying
Krish Naik Beginner 4y ago
Directions in ML: Structured Models for Automated Machine Learning
📐 ML Fundamentals
Directions in ML: Structured Models for Automated Machine Learning
Microsoft Research Beginner 4y ago
sin cos tan explained. Explanation using real life example | Math, Statistics for data science
📐 ML Fundamentals
sin cos tan explained. Explanation using real life example | Math, Statistics for data science
codebasics Beginner 4y ago
Thompson Sampling : Data Science Concepts
📐 ML Fundamentals
Thompson Sampling : Data Science Concepts
ritvikmath Beginner 4y ago
How to build machine learning models for drug discovery using PaDELPy
📐 ML Fundamentals
How to build machine learning models for drug discovery using PaDELPy
Data Professor Beginner 4y ago
BERT Model for Toxic Comment Classification (with GitHub Copilot's help)
📐 ML Fundamentals
BERT Model for Toxic Comment Classification (with GitHub Copilot's help)
Abhishek Thakur Beginner 4y ago
Self-driving from VISION ONLY - Tesla's self-driving progress by Andrej Karpathy (Talk Analysis)
📐 ML Fundamentals
Self-driving from VISION ONLY - Tesla's self-driving progress by Andrej Karpathy (Talk Analysis)
Yannic Kilcher Beginner 4y ago
Deep Unsupervised Learning for Climate Informatics with Claire Monteleoni - #497
📐 ML Fundamentals
Deep Unsupervised Learning for Climate Informatics with Claire Monteleoni - #497
The TWIML AI Podcast with Sam Charrington Beginner 4y ago
All Python Libraries You Need For Machine Learning And Data Science
📐 ML Fundamentals
All Python Libraries You Need For Machine Learning And Data Science
Patrick Loeber Beginner 4y ago
PyTorch Community Voices | Distributed PyTorch with Ray | Michael & Richard
📐 ML Fundamentals
PyTorch Community Voices | Distributed PyTorch with Ray | Michael & Richard
PyTorch Beginner 4y ago
AI Weekly Update - June 30th, 2021 (#37!)
📐 ML Fundamentals
AI Weekly Update - June 30th, 2021 (#37!)
Connor Shorten Beginner 4y ago
The Molecular Basis of Life
📐 ML Fundamentals
The Molecular Basis of Life
arXiv Insights Beginner 4y ago
Maximizing Performance for Distributed Deep Learning with NVIDIA SHARP (HGX)
📐 ML Fundamentals
Maximizing Performance for Distributed Deep Learning with NVIDIA SHARP (HGX)
NVIDIA Developer Beginner 4y ago
Build a ML Classification Model in 12 Lines with PyCaret
📐 ML Fundamentals
Build a ML Classification Model in 12 Lines with PyCaret
Nicholas Renotte Beginner 4y ago
What is the Jax Deep Learning Framework?
📐 ML Fundamentals
What is the Jax Deep Learning Framework?
Roboflow Beginner 4y ago
Panels # 1: What it takes to become a Quadruple Kaggle Grandmaster?
📐 ML Fundamentals
Panels # 1: What it takes to become a Quadruple Kaggle Grandmaster?
Abhishek Thakur Beginner 4y ago
"At this time period, there was no data" — How California developed its COVID-19 models
📐 ML Fundamentals
"At this time period, there was no data" — How California developed its COVID-19 models
Weights & Biases Beginner 4y ago
W&B Fastbook Reading Group — 5. SGD (Stochastic Gradient Descent)
📐 ML Fundamentals
W&B Fastbook Reading Group — 5. SGD (Stochastic Gradient Descent)
Weights & Biases Beginner 4y ago
Roger & DJ — The Rise of Big Data and CA's COVID-19 Response
📐 ML Fundamentals
Roger & DJ — The Rise of Big Data and CA's COVID-19 Response
Weights & Biases Beginner 4y ago
Display GridSearchCV or RandomizedSearchCV results in a DataFrame
📐 ML Fundamentals
Display GridSearchCV or RandomizedSearchCV results in a DataFrame
Data School Beginner 4y ago
Try RandomizedSearchCV if GridSearchCV is taking too long
📐 ML Fundamentals
Try RandomizedSearchCV if GridSearchCV is taking too long
Data School Beginner 4y ago
Minimum Laptop Configuration To Start With Machine Learning And Deep Learning💻💻💻💻💻💻
📐 ML Fundamentals
Minimum Laptop Configuration To Start With Machine Learning And Deep Learning💻💻💻💻💻💻
Krish Naik Beginner 4y ago
Generate Python Faster with Mito⭐ ⭐ ⭐ ⭐
📐 ML Fundamentals
Generate Python Faster with Mito⭐ ⭐ ⭐ ⭐
Krish Naik Beginner 4y ago
W&B Fastbook Reading Group — 4. Going Deeper into Computer Vision
📐 ML Fundamentals
W&B Fastbook Reading Group — 4. Going Deeper into Computer Vision
Weights & Biases Beginner 4y ago
Teaching an RC car to drive itself
📐 ML Fundamentals
Teaching an RC car to drive itself
Weights & Biases Beginner 4y ago
Writing Machine Learning Pipelines And Deep Learning Code Using Github Copilot ⭐⭐⭐⭐⭐⭐
📐 ML Fundamentals
Writing Machine Learning Pipelines And Deep Learning Code Using Github Copilot ⭐⭐⭐⭐⭐⭐
Krish Naik Beginner 4y ago
Amelia & Filip — How Pandora Deploys ML Models into Production
📐 ML Fundamentals
Amelia & Filip — How Pandora Deploys ML Models into Production
Weights & Biases Beginner 4y ago
Use cross_val_score and GridSearchCV on a Pipeline
📐 ML Fundamentals
Use cross_val_score and GridSearchCV on a Pipeline
Data School Beginner 4y ago
Coding Word2Vec : Natural Language Processing
📐 ML Fundamentals
Coding Word2Vec : Natural Language Processing
ritvikmath Beginner 4y ago
Three reasons not to use drop='first' with OneHotEncoder
📐 ML Fundamentals
Three reasons not to use drop='first' with OneHotEncoder
Data School Beginner 4y ago
Engineering MLOps // Emmanuel Raj // MLOps Meetup #69
📐 ML Fundamentals
Engineering MLOps // Emmanuel Raj // MLOps Meetup #69
MLOps.community Beginner 4y ago
W&B Fastbook Reading Group — 3. DL Models in Production & Ethical Considerations
📐 ML Fundamentals
W&B Fastbook Reading Group — 3. DL Models in Production & Ethical Considerations
Weights & Biases Beginner 4y ago
Build A Machine Learning iOS App | PyTorch Mobile Deployment
📐 ML Fundamentals
Build A Machine Learning iOS App | PyTorch Mobile Deployment
Patrick Loeber Beginner 4y ago
📚 Coursera Courses Opens on Coursera · Free to audit
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Machine Learning with Python & Statistics
📚 Coursera Course ↗
Self-paced
Machine Learning with Python & Statistics
Opens on Coursera ↗
Aerial Image Segmentation with PyTorch
📚 Coursera Course ↗
Self-paced
Aerial Image Segmentation with PyTorch
Opens on Coursera ↗
Machine Learning Operations (MLOps): Getting Started
📚 Coursera Course ↗
Self-paced
Machine Learning Operations (MLOps): Getting Started
Opens on Coursera ↗
Principles of Computing (Part 1)
📚 Coursera Course ↗
Self-paced
Principles of Computing (Part 1)
Opens on Coursera ↗
Exploratory Data Analysis for Machine Learning
📚 Coursera Course ↗
Self-paced
Exploratory Data Analysis for Machine Learning
Opens on Coursera ↗
Advanced Chatbots with Deep Learning and Python
📚 Coursera Course ↗
Self-paced
Advanced Chatbots with Deep Learning and Python
Opens on Coursera ↗