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
Distributed ML training with PyTorch and Amazon SageMaker - AWS Virtual Workshop
ML Fundamentals
Distributed ML training with PyTorch and Amazon SageMaker - AWS Virtual Workshop
AWS Developers Intermediate 3y ago
Metaflow Tags: Programmatic Tagging
ML Fundamentals
Metaflow Tags: Programmatic Tagging
Outerbounds Beginner 3y ago
Metaflow Tags: Tags in CI/CD
ML Fundamentals
Metaflow Tags: Tags in CI/CD
Outerbounds Beginner 3y ago
Machine Learning for Facial Recognition in Python in 60 Seconds #shorts
ML Fundamentals
Machine Learning for Facial Recognition in Python in 60 Seconds #shorts
Rob Mulla Beginner 3y ago
Lecture 19: Differentiation Rules, Rolle's Theorem, and the Mean Value Theorem
ML Fundamentals
Lecture 19: Differentiation Rules, Rolle's Theorem, and the Mean Value Theorem
MIT OpenCourseWare Intermediate 3y ago
Lecture 16: The Min/Max Theorem and Bolzano's Intermediate Value Theorem
ML Fundamentals
Lecture 16: The Min/Max Theorem and Bolzano's Intermediate Value Theorem
MIT OpenCourseWare Intermediate 3y ago
Practical applications of intelligent document processing in lending and insurance claims processing
ML Fundamentals
Practical applications of intelligent document processing in lending and insurance claims processing
AWS Developers Intermediate 3y ago
Get the Best Python Books for Free
ML Fundamentals
Get the Best Python Books for Free
David Bombal Beginner 3y ago
A Beginners Guide To The Data Analysis Process | Data Science 02 | GeeksforGeeks
ML Fundamentals
A Beginners Guide To The Data Analysis Process | Data Science 02 | GeeksforGeeks
GeeksforGeeks Beginner 3y ago
Complete Statistics For Data Science In 6 hours By Krish Naik
ML Fundamentals
Complete Statistics For Data Science In 6 hours By Krish Naik
Krish Naik Beginner 3y ago
Logistic Regression in Python | Databytes | Machine Learning in Python
ML Fundamentals
Logistic Regression in Python | Databytes | Machine Learning in Python
DataCamp Beginner 3y ago
Build a Chrome Dino Game AI Model with Python | AI Learns to Play Dino Game
ML Fundamentals
Build a Chrome Dino Game AI Model with Python | AI Learns to Play Dino Game
Nicholas Renotte Beginner 3y ago
The Rise of DeBERTa for NLP Downstream Tasks | Grandmaster Series E7
ML Fundamentals
The Rise of DeBERTa for NLP Downstream Tasks | Grandmaster Series E7
NVIDIA Developer Advanced 3y ago
Making MLFlow // Lead MLFlow Maintainer Corey Zumar // MLOps Coffee Sessions #103
ML Fundamentals
Making MLFlow // Lead MLFlow Maintainer Corey Zumar // MLOps Coffee Sessions #103
MLOps.community Intermediate 3y ago
MIT Technology Review’s Future Compute Conference 2022
ML Fundamentals
MIT Technology Review’s Future Compute Conference 2022
Microsoft Research Beginner 3y ago
Unlocking the Developer
ML Fundamentals
Unlocking the Developer
The New Stack Beginner 3y ago
Home Lab Build - P.1 - Building a NAS
ML Fundamentals
Home Lab Build - P.1 - Building a NAS
sentdex Beginner 3y ago
Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial
ML Fundamentals
Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial
freeCodeCamp.org Beginner 3y ago
Building a Movie Recommendation System on Tecton with Snowflake // David Hershey //MLOps Meetup #102
ML Fundamentals
Building a Movie Recommendation System on Tecton with Snowflake // David Hershey //MLOps Meetup #102
MLOps.community Intermediate 3y ago
How I stay MOTIVATED when learning DEEP TECH (coding, ML & data science)
ML Fundamentals
How I stay MOTIVATED when learning DEEP TECH (coding, ML & data science)
Nicholas Renotte Beginner 3y ago
Designing Machine Learning Systems | book summary | Read a book with me
ML Fundamentals
Designing Machine Learning Systems | book summary | Read a book with me
Sophia Yang Advanced 3y ago
Competitive Programming - Getting Started & Acing It【w/ @PriyanshAgarwal】
ML Fundamentals
Competitive Programming - Getting Started & Acing It【w/ @PriyanshAgarwal】
CS Dojo Beginner 3y ago
Can AI Fix my Baseball Swing?
ML Fundamentals
Can AI Fix my Baseball Swing?
Ken Jee Beginner 3y ago
Linear Regression in Python | Databytes | Machine Learning in Python
ML Fundamentals
Linear Regression in Python | Databytes | Machine Learning in Python
DataCamp Beginner 3y ago
Machine Learning is Transforming Almost Everything
ML Fundamentals
Machine Learning is Transforming Almost Everything
Deep Learning Revision Beginner 3y ago
Neural Network Weights - Deep Learning Dictionary
ML Fundamentals
Neural Network Weights - Deep Learning Dictionary
deeplizard Beginner 3y ago
Haywire Algorithms
ML Fundamentals
Haywire Algorithms
Data Skeptic Beginner 3y ago
Hugging Face Experts
ML Fundamentals
Hugging Face Experts
HuggingFace Beginner 3y ago
Build MultiPage Python App with Streamlit | Streamlit Native Multi-Page Tutorial
ML Fundamentals
Build MultiPage Python App with Streamlit | Streamlit Native Multi-Page Tutorial
1littlecoder Beginner 3y ago
Life At IIt's| AI @ IIT Hyderabad| Podcast With Priya Bhatia
ML Fundamentals
Life At IIt's| AI @ IIT Hyderabad| Podcast With Priya Bhatia
Krish Naik Beginner 3y ago
Supercharge A/B testing w/automated causal inference |Community Workshop on Microsoft's Causal Tools
ML Fundamentals
Supercharge A/B testing w/automated causal inference |Community Workshop on Microsoft's Causal Tools
Microsoft Research Beginner 3y ago
My 5 Favorite AI Technical Articles of Hackernoon !
ML Fundamentals
My 5 Favorite AI Technical Articles of Hackernoon !
What's AI by Louis-François Bouchard Beginner 3y ago
Data representations for neural networks
ML Fundamentals
Data representations for neural networks
Abhishek Thakur Beginner 3y ago
My First Neural Network using Keras
ML Fundamentals
My First Neural Network using Keras
Abhishek Thakur Beginner 3y ago
Metaflow Tags: Tags and Continuous Training
ML Fundamentals
Metaflow Tags: Tags and Continuous Training
Outerbounds Beginner 3y ago
Lecture 14: Limits of Functions in Terms of Sequences and Continuity
ML Fundamentals
Lecture 14: Limits of Functions in Terms of Sequences and Continuity
MIT OpenCourseWare Beginner 3y ago
Lecture 22: Fundamental Theorem of Calculus, Integration by Parts, and Change of Variable Formula
ML Fundamentals
Lecture 22: Fundamental Theorem of Calculus, Integration by Parts, and Change of Variable Formula
MIT OpenCourseWare Intermediate 3y ago
Fixing Your ML Data Blind Spots // Yash Sheth // MLOps Coffee Sessions #102
ML Fundamentals
Fixing Your ML Data Blind Spots // Yash Sheth // MLOps Coffee Sessions #102
MLOps.community Beginner 3y ago
Build a Generative Adversarial Neural Network with Tensorflow and Python | Deep Learning Projects
ML Fundamentals
Build a Generative Adversarial Neural Network with Tensorflow and Python | Deep Learning Projects
Nicholas Renotte Beginner 3y ago
Lecture 6: Photometric Stereo, Noise Gain, Error Amplification, Eigenvalues and Eigenvectors Review
ML Fundamentals
Lecture 6: Photometric Stereo, Noise Gain, Error Amplification, Eigenvalues and Eigenvectors Review
MIT OpenCourseWare Intermediate 3y ago
#90 How Data Science is Transforming the Healthcare Industry (with Curren Katz)
ML Fundamentals
#90 How Data Science is Transforming the Healthcare Industry (with Curren Katz)
DataCamp Intermediate 3y ago
Declarative Machine Learning Systems: Big Tech Level ML Without a Big Tech Team // Piero Molino
ML Fundamentals
Declarative Machine Learning Systems: Big Tech Level ML Without a Big Tech Team // Piero Molino
MLOps.community Beginner 3y ago
Fireside chat with Stu Frost at Community Workshop on Microsoft's Causal Tools
ML Fundamentals
Fireside chat with Stu Frost at Community Workshop on Microsoft's Causal Tools
Microsoft Research Beginner 3y ago
Fireside chat #3: Reasonable Scale Machine Learning -- You're not Google and it's totally OK
ML Fundamentals
Fireside chat #3: Reasonable Scale Machine Learning -- You're not Google and it's totally OK
Outerbounds Beginner 3y ago
Announcing Data Science, ML,DL,AI Videos In Hindi @krishnaikhindi
ML Fundamentals
Announcing Data Science, ML,DL,AI Videos In Hindi @krishnaikhindi
Krish Naik Intermediate 3y ago
Python Machine Learning Tutorial | Splitting Your Data | Databytes
ML Fundamentals
Python Machine Learning Tutorial | Splitting Your Data | Databytes
DataCamp Beginner 3y ago
#86 [DataFramed Careers Series #1] Launching a Data Career in 2022 (with Sadie St. Lawrence)
ML Fundamentals
#86 [DataFramed Careers Series #1] Launching a Data Career in 2022 (with Sadie St. Lawrence)
DataCamp Beginner 3y ago
Dictionaries in Python | Databytes | Python Basics Tutorial
ML Fundamentals
Dictionaries in Python | Databytes | Python Basics Tutorial
DataCamp Beginner 3y ago
📚 Coursera Courses Opens on Coursera · Free to audit
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Machine Learning Essentials for Business and Technical Decision Makers
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Self-paced
Machine Learning Essentials for Business and Technical Decision Makers
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Supervised Text Classification for Marketing Analytics
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Self-paced
Supervised Text Classification for Marketing Analytics
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Differential Equations Part II Series Solutions
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Differential Equations Part II Series Solutions
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Data Science Fundamentals Part 2: Unit 2
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Self-paced
Data Science Fundamentals Part 2: Unit 2
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 Unsupervised Machine Learning
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Self-paced
Unsupervised Machine Learning
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Probabilistic Graphical Models 2: Inference
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Self-paced
Probabilistic Graphical Models 2: Inference
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