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AI Basics
What is AI, ML, deep learning β the core distinctions
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Machine Learning
Supervised, unsupervised, reinforcement learning
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Neural Networks
Neurons, layers, backpropagation, activation functions
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AI Algorithms
Decision trees, k-NN, SVM, clustering, regression
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Model Evaluation
Precision, recall, F1, confusion matrix, overfitting
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Deep Learning
CNNs, RNNs, Transformers, LLMs, attention mechanism
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Natural Language Processing
Tokenization, embeddings, sentiment, language models
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AI Ethics & Society
Bias, fairness, transparency, hallucination, regulation
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Computer Vision
CNNs, object detection, segmentation, image generation
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AI Tools & Prompt Engineering
Prompting techniques, LLM tools, RAG, agents, APIs
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π Official Resources
π€ fast.ai
Free practical deep learning courses used by thousands of students worldwide.
fast.ai β
Google ML Crash Course
Google's free machine learning course with exercises and real-world case studies.
developers.google.com β
deeplearning.ai
Andrew Ng's AI education platform β foundational courses trusted by millions.
deeplearning.ai β
MIT OpenCourseWare β AI
Free MIT course materials on artificial intelligence and machine learning.
ocw.mit.edu β
Hugging Face
The leading platform for open-source AI models, datasets, and learning resources.
huggingface.co β
Khan Academy β AI
Free beginner-friendly introduction to AI and machine learning concepts.
khanacademy.org β