Foundations

ML Fundamentals

Neural networks, backpropagation, gradient descent โ€” 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
Learn Java DSA And Machine Learning Step By Step #shorts #coding #java #dsa #ml #ytshorts
ML Fundamentals โšก AI Lesson
Learn Java DSA And Machine Learning Step By Step #shorts #coding #java #dsa #ml #ytshorts
WebKnower Beginner 2mo ago
recurrent neural networks (rnn) - explained #maths #dataanlysis #datascience #machinelearning
ML Fundamentals
recurrent neural networks (rnn) - explained #maths #dataanlysis #datascience #machinelearning
DataMListic Beginner 2mo ago
How to Design Machine Learning Systems (Beginner to Pro)
ML Fundamentals โšก AI Lesson
How to Design Machine Learning Systems (Beginner to Pro)
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ML Fundamentals
Freshers (IT Career RoadMap) in Tamil ๐Ÿ”ฅ
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Your ALGORITHM isnโ€™t random itโ€™s training on YOU ๐Ÿ‘€#machinelearning #artificialintelligence
ML Fundamentals
Your ALGORITHM isnโ€™t random itโ€™s training on YOU ๐Ÿ‘€#machinelearning #artificialintelligence
AI Explained Simply Beginner 2mo ago
Collective Altruism in Recommender Systems
ML Fundamentals โšก AI Lesson
Collective Altruism in Recommender Systems
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The most beautiful formula not enough people understand
ML Fundamentals โšก AI Lesson
The most beautiful formula not enough people understand
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ML Fundamentals โšก AI Lesson
AI is learning to think like humansโ€ฆ and itโ€™s happening faster than you think ๐Ÿง โšก
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ML Fundamentals
AI Engineer vs Data Scientist | Top Trending Tech Jobs Explained #shorts
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ML Fundamentals
Edge Impulse Unleashed A Practical Guide to Edge ML
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ML Fundamentals โšก AI Lesson
Webinar: OAMLP Alumni in Action
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Introduction to Amazon SageMaker Notebooks: Managed Jupyter for ML
ML Fundamentals
Introduction to Amazon SageMaker Notebooks: Managed Jupyter for ML
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Lecture 15 - PCA and ICA | Stanford CS229: Machine Learning Andrew Ng - Autumn 2018
ML Fundamentals โšก AI Lesson
Lecture 15 - PCA and ICA | Stanford CS229: Machine Learning Andrew Ng - Autumn 2018
Stanford Online Beginner 2mo ago
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ML Fundamentals โšก AI Lesson
TensorFlow: Data and Deployment Specialization
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ML Fundamentals โšก AI Lesson
What are Neural Nework AutoEncoders ?
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๐Ÿ”ฌMax Welling: Materials Underlie Everything
ML Fundamentals
๐Ÿ”ฌMax Welling: Materials Underlie Everything
Latent Space Advanced 2mo ago
Cyclic Redundancy Check (CRC) - Computerphile
ML Fundamentals โšก AI Lesson
Cyclic Redundancy Check (CRC) - Computerphile
Computerphile Beginner 2mo ago
How Hawk Revolutionizes Financial Crime Detection with Explainable AI | Amazon Web Services
ML Fundamentals
How Hawk Revolutionizes Financial Crime Detection with Explainable AI | Amazon Web Services
Amazon Web Services Advanced 2mo ago
Ensemble Techniques in AI #aiwithakash #genai #aiintamil
ML Fundamentals
Ensemble Techniques in AI #aiwithakash #genai #aiintamil
AI with Akash Beginner 2mo ago
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ML Fundamentals
AI and Machine Learning Full Course 2026 | AI & Machine Learning Tutorial For Beginners |Simplilearn
Simplilearn Beginner 2mo ago
How to Become a Machine Learning Engineer
ML Fundamentals
How to Become a Machine Learning Engineer
Coursera Beginner 2mo ago
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ML Fundamentals
Data Scientist Roadmap
Coursera Intermediate 2mo ago
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ML Fundamentals โšก AI Lesson
Bad Bot Problem - Computerphile
Computerphile Beginner 2mo ago
Siddhartha Chitrakar - Matrix Calculus and Usage in Machine Learning ml math
ML Fundamentals โšก AI Lesson
Siddhartha Chitrakar - Matrix Calculus and Usage in Machine Learning ml math
Cohere Beginner 2mo ago
OPTIMIZERS EXPLAINED
ML Fundamentals
OPTIMIZERS EXPLAINED
Build AI with Sandeep Advanced 2mo ago
Episode 1: Make a confident career pivot with this 3-step framework
ML Fundamentals
Episode 1: Make a confident career pivot with this 3-step framework
Saรฏd Business School, University of Oxford Intermediate 2mo ago
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ML Fundamentals
Solution to the ladybug clock puzzle
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The #1 Skill We Look for When Hiring AI Engineers
ML Fundamentals โšก AI Lesson
The #1 Skill We Look for When Hiring AI Engineers
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ML Fundamentals
How I'd Become a Data Scientist in 2026 (Starting From Zero)
Tech Classes Beginner 2mo ago
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ML Fundamentals
Why Betting Against Open Source is a "Bad Bet"
DeepLearningAI Beginner 2mo ago
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ML Fundamentals
How AI Actually Works (No CS Degree Required)
Context Window Beginner 2mo ago
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ML Fundamentals
Master How to (Build and Deploy ๐Ÿค”) your Own AI Model in Tamil
AI Coach John (Tamil) Beginner 3mo ago
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ML Fundamentals
Inside the $100B Data Center Play
The Information Intermediate 3mo ago
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ML Fundamentals
How Self-Driving Technology Completely Changed
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ML Fundamentals โšก AI Lesson
PyTorch Crash Course: Deep Learning in Python
NeuralNine Beginner 3mo ago
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ML Fundamentals โšก AI Lesson
The first transcription model with prompts
Simon Willison (underfitted) Beginner 3mo ago
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ML Fundamentals โšก AI Lesson
Master Machine Learning And Generative Ai Using Python #shorts #ai #genai #ml #coding #learning
WebKnower Beginner 3mo ago
Migrate from Foreign Parquet to Managed Delta in 3 simple steps
ML Fundamentals โšก AI Lesson
Migrate from Foreign Parquet to Managed Delta in 3 simple steps
Databricks Beginner 3mo ago
Lec 05. Architectures: Graphs
ML Fundamentals
Lec 05. Architectures: Graphs
MIT OpenCourseWare Beginner 3mo ago
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ML Fundamentals
Lec 09. Hacker's Guide to Deep Learning
MIT OpenCourseWare Beginner 3mo ago
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ML Fundamentals
Machine Learning Explained | Netflix Recommendation system #simplilearn #shorts
Simplilearn Beginner 2mo ago
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ML Fundamentals
๐Ÿ”ฅMLOps Engineer Roadmap in 2026 #shorts #simplilearn
Simplilearn Beginner 3mo ago
Decision Tree Machine Learning Explained Simply
ML Fundamentals
Decision Tree Machine Learning Explained Simply
Coursera Intermediate 3mo ago
Why People Skills Matter at Work (And How to Improve Them)
ML Fundamentals
Why People Skills Matter at Work (And How to Improve Them)
Coursera Intermediate 3mo ago
Lec 16. Generative Models: Conditional Models
ML Fundamentals
Lec 16. Generative Models: Conditional Models
MIT OpenCourseWare Beginner 3mo ago
Lec 15. Generative Models: Representation Learning Meets Generative Modeling
ML Fundamentals
Lec 15. Generative Models: Representation Learning Meets Generative Modeling
MIT OpenCourseWare Beginner 3mo ago
Lec 04. Architectures: Grids
ML Fundamentals
Lec 04. Architectures: Grids
MIT OpenCourseWare Beginner 3mo ago
Lec 02. How to Train a Neural Net
ML Fundamentals
Lec 02. How to Train a Neural Net
MIT OpenCourseWare Beginner 3mo ago
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