maths-cs-ai-compendium/mkdocs.yml at main · HenryNdubuaku/maths-cs-ai-compendium · GitHub

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site_name: "Maths, CS & AI Compendium"
site_url: "https://henryndubuaku.github.io/maths-cs-ai-compendium/"
site_description: "An open, intuition-first textbook covering mathematics, computer science, and artificial intelligence from the ground up."
site_author: "Henry Ndubuaku"
repo_url: "https://github.com/HenryNdubuaku/maths-cs-ai-compendium"
repo_name: "HenryNdubuaku/maths-cs-ai-compendium"

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nav:
  - Home: index.md

  - Vectors:
    - Vector Spaces: "chapter 01: vectors/01. vector spaces.md"
    - Vector Properties: "chapter 01: vectors/02. vector properties.md"
    - Norms and Metrics: "chapter 01: vectors/03. norms and metrics.md"
    - Products: "chapter 01: vectors/04. products.md"
    - Basis and Duality: "chapter 01: vectors/05. basis and duality.md"

  - Matrices:
    - Matrix Properties: "chapter 02: matrices/01. matrix properties.md"
    - Matrix Types: "chapter 02: matrices/02. matrix types.md"
    - Operations: "chapter 02: matrices/03. operations.md"
    - Linear Transformations: "chapter 02: matrices/04. linear transformations.md"
    - Decompositions: "chapter 02: matrices/05. decompositions.md"

  - Calculus:
    - Differential Calculus: "chapter 03: calculus/01. differential calculus.md"
    - Integral Calculus: "chapter 03: calculus/02. integral calculus.md"
    - Multivariate Calculus: "chapter 03: calculus/03. multivariate calculus.md"
    - Function Approximation: "chapter 03: calculus/04. function approximation.md"
    - Optimisation: "chapter 03: calculus/05. optimisation.md"

  - Statistics:
    - Fundamentals: "chapter 04: statistics/01. fundamentals.md"
    - Measures: "chapter 04: statistics/02. measures.md"
    - Sampling: "chapter 04: statistics/03. sampling.md"
    - Hypothesis Testing: "chapter 04: statistics/04. hypothesis testing.md"
    - Inference: "chapter 04: statistics/05. inference.md"

  - Probability:
    - Counting: "chapter 05: probability/01. counting.md"
    - Probability Concepts: "chapter 05: probability/02. probability concepts.md"
    - Distributions: "chapter 05: probability/03. distributions.md"
    - Bayesian: "chapter 05: probability/04. bayesian.md"
    - Information Theory: "chapter 05: probability/05. information theory.md"

  - Machine Learning:
    - Classical Machine Learning: "chapter 06: machine learning/01. classical machine learning.md"
    - Gradient Machine Learning: "chapter 06: machine learning/02. gradient machine learning.md"
    - Deep Learning: "chapter 06: machine learning/03. deep learning.md"
    - Reinforcement Learning: "chapter 06: machine learning/04. reinforcement learning.md"
    - Distributed Deep Learning: "chapter 06: machine learning/05. distributed deep learning.md"

  - Computational Linguistics:
    - Linguistic Foundations: "chapter 07: computational linguistics/01. linguistic foundations.md"
    - Text Processing and Classic NLP: "chapter 07: computational linguistics/02. text processing and classic NLP.md"
    - Embeddings and Sequence Models: "chapter 07: computational linguistics/03. embeddings and sequence models.md"
    - Transformers and Language Models: "chapter 07: computational linguistics/04. transformers and language models.md"
    - Advanced Text Generation: "chapter 07: computational linguistics/05. advanced text generation.md"

  - Computer Vision:
    - Image Fundamentals: "chapter 08: computer vision/01. image fundamentals.md"
    - Convolutional Networks: "chapter 08: computer vision/02. convolutional networks.md"
    - Object Detection and Segmentation: "chapter 08: computer vision/03. object detection and segmentation.md"
    - Vision Transformers and Generation: "chapter 08: computer vision/04. vision transformers and generation.md"
    - Video and 3D Vision: "chapter 08: computer vision/05. video and 3D vision.md"

  - Audio and Speech:
    - Digital Signal Processing: "chapter 09: audio and speech/01. digital signal processing.md"
    - Automatic Speech Recognition: "chapter 09: audio and speech/02. automatic speech recognition.md"
    - Text to Speech and Voice: "chapter 09: audio and speech/03. text to speech and voice.md"
    - Speaker and Audio Analysis: "chapter 09: audio and speech/04. speaker and audio analysis.md"
    - Source Separation and Noise: "chapter 09: audio and speech/05. source separation and noise.md"

  - Multimodal Learning:
    - Multimodal Representations: "chapter 10: multimodal learning/01. multimodal representations.md"
    - Vision Language Models: "chapter 10: multimodal learning/02. vision language models.md"
    - Image and Video Tokenisation: "chapter 10: multimodal learning/03. image and video tokenisation.md"
    - Cross-Modal Generation: "chapter 10: multimodal learning/04. cross-modal generation.md"
    - Unified Multimodal Architectures: "chapter 10: multimodal learning/05. unified multimodal architectures.md"

  - Autonomous Systems:
    - Perception: "chapter 11: autonomous systems/01. perception.md"
    - Robot Learning: "chapter 11: autonomous systems/02. robot learning.md"
    - Vision-Language-Action Models: "chapter 11: autonomous systems/03. vision-language-action models.md"
    - Self-Driving: "chapter 11: autonomous systems/04. self-driving.md"
    - Space and Extreme Robotics: "chapter 11: autonomous systems/05. space and extreme robotics.md"

  - Graph Neural Networks:
    - Geometric Deep Learning: "chapter 12: graph neural networks/01. geometric deep learning.md"
    - Graph Theory: "chapter 12: graph neural networks/02. graph theory.md"
    - Graph Neural Networks: "chapter 12: graph neural networks/03. graph neural networks.md"
    - Graph Attention Networks: "chapter 12: graph neural networks/04. graph attention networks.md"
    - 3D Graph Networks: "chapter 12: graph neural networks/05. 3d graph networks.md"

  - Computing and OS:
    - Discrete Maths: "chapter 13: computing and OS/01. discrete maths.md"
    - Computer Architecture: "chapter 13: computing and OS/02. computer architecture.md"
    - Operating Systems: "chapter 13: computing and OS/03. operating systems.md"
    - Concurrency and Parallelism: "chapter 13: computing and OS/04. concurrency and parallelism.md"
    - Programming Languages: "chapter 13: computing and OS/05. programming languages.md"

  - Data Structures and Algorithms:
    - Foundations: "chapter 14: data structures and algorithms/00. foundations.md"
    - Arrays and Hashing: "chapter 14: data structures and algorithms/01. arrays and hashing.md"
    - Linked Lists, Stacks, and Queues: "chapter 14: data structures and algorithms/02. linked lists, stacks, and queues.md"
    - Trees: "chapter 14: data structures and algorithms/03. trees.md"
    - Graphs: "chapter 14: data structures and algorithms/04. graphs.md"
    - Sorting and Search: "chapter 14: data structures and algorithms/05. sorting and search.md"

  - Production Software Engineering:
    - Linux and CMD: "chapter 15: production software engineering/01. linux and CMD.md"
    - Git and Repository Management: "chapter 15: production software engineering/02. git and repository management.md"
    - Codebase Design: "chapter 15: production software engineering/03. codebase design.md"
    - Testing and Quality Assurance: "chapter 15: production software engineering/04. testing and quality assurance.md"
    - Deployment and DevOps: "chapter 15: production software engineering/05. deployment and devops.md"

  - SIMD and GPU Programming:
    - Why C++ and How ML Frameworks Work: "chapter 16: SIMD and GPU programming/00. why C++ and how ML frameworks work.md"
    - Hardware Fundamentals: "chapter 16: SIMD and GPU programming/01. hardware fundamentals.md"
    - ARM and NEON: "chapter 16: SIMD and GPU programming/02. ARM and NEON.md"
    - x86 and AVX: "chapter 16: SIMD and GPU programming/03. x86 and AVX.md"
    - GPU Architecture and CUDA: "chapter 16: SIMD and GPU programming/04. GPU architecture and CUDA.md"
    - Triton, TPUs, and Pallas: "chapter 16: SIMD and GPU programming/05. triton, TPUs and pallax.md"
    - RISC-V and Embedded Systems: "chapter 16: SIMD and GPU programming/06. RISC-V and embedded systems.md"
    - Vulkan Compute and Cross-Platform GPU: "chapter 16: SIMD and GPU programming/07. vulkan compute and cross-platform GPU.md"

  - AI Inference:
    - Quantisation: "chapter 17: AI inference/01. quantisation.md"
    - Efficient Architectures: "chapter 17: AI inference/02. efficient architectures.md"
    - Serving and Batching: "chapter 17: AI inference/03. serving and batching.md"
    - Edge Inference: "chapter 17: AI inference/04. edge inference.md"
    - Scaling and Deployment: "chapter 17: AI inference/05. scaling and deployment.md"

  - ML Systems Design:
    - Systems Design Fundamentals: "chapter 18: ML systems design/01. systems design fundamentals.md"
    - Cloud Computing: "chapter 18: ML systems design/02. cloud computing.md"
    - Large Scale Infrastructure: "chapter 18: ML systems design/03. large scale infrastructure.md"
    - ML Systems Design: "chapter 18: ML systems design/04. ML systems design.md"
    - ML Design Examples: "chapter 18: ML systems design/05. ML design examples.md"

  - Applied AI:
    - AI for Finance: "chapter 19: applied AI/01. AI for finance.md"
    - Protein Design: "chapter 19: applied AI/02. protein design.md"
    - Drug Discovery: "chapter 19: applied AI/03. drug discovery.md"
    - Agentic Systems: "chapter 19: applied AI/04. agentic systems.md"
    - Healthcare: "chapter 19: applied AI/05. healthcare.md"

  - Bleeding Edge AI:
    - Quantum Machine Learning: "chapter 20: bleeding edge AI/01. quantum machine learning.md"
    - Neuromorphic Computing: "chapter 20: bleeding edge AI/02. neuromorphic computing.md"
    - Datacentres in Space: "chapter 20: bleeding edge AI/03. datacentres in space.md"
    - Decentralised AI: "chapter 20: bleeding edge AI/04. decentralised AI.md"
    - Brain Machine Interfaces: "chapter 20: bleeding edge AI/05. brain machine interfaces.md"