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- assets
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- social
- chapter 01: vectors
- chapter 02: matrices
- chapter 03: calculus
- chapter 04: statistics
- chapter 05: probability
- chapter 06: machine learning
- chapter 07: computational linguistics
- chapter 08: computer vision
- chapter 09: audio and speech
- chapter 10: multimodal learning
- chapter 11: autonomous systems
- chapter 12: computing and OS
- chapter 13: data structures and algorithms
- chapter 14: SIMD and GPU programming
- chapter 15: systems design
- chapter 16: inference
- chapter 17: intersecting fields
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- stylesheets
- chapter 01: vectors
- 01. vector spaces
- 02. vector properties
- 03. norms and metrics
- 04. products
- 05. basis and duality
- chapter 02: matrices
- 01. matrix properties
- 02. matrix types
- 03. operations
- 04. linear transformations
- 05. decompositions
- chapter 03: calculus
- 01. differential calculus
- 02. integral calculus
- 03. multivariate calculus
- 04. function approximation
- 05. optimisation
- chapter 04: statistics
- 01. fundamentals
- 02. measures
- 03. sampling
- 04. hypothesis testing
- 05. inference
- chapter 05: probability
- 01. counting
- 02. probability concepts
- 03. distributions
- 04. bayesian
- 05. information theory
- chapter 06: machine learning
- 01. classical machine learning
- 02. gradient machine learning
- 03. deep learning
- 04. reinforcement learning
- 05. distributed deep learning
- chapter 07: computational linguistics
- 01. linguistic foundations
- 02. text processing and classic NLP
- 03. embeddings and sequence models
- 04. transformers and language models
- 05. advanced text generation
- chapter 08: computer vision
- 01. image fundamentals
- 02. convolutional networks
- 03. object detection and segmentation
- 04. vision transformers and generation
- 05. video and 3D vision
- chapter 09: audio and speech
- 01. digital signal processing
- 02. automatic speech recognition
- 03. text to speech and voice
- 04. speaker and audio analysis
- 05. source separation and noise
- chapter 10: multimodal learning
- 01. multimodal representations
- 02. vision language models
- 03. image and video tokenisation
- 04. cross-modal generation
- 05. unified multimodal architectures
- chapter 11: autonomous systems
- 01. perception
- 02. robot learning
- 03. vision-language-action models
- 04. self-driving
- 05. space and extreme robotics
- chapter 12: computing and OS
- 01. discrete maths
- 02. computer architecture
- 03. operating systems
- 04. concurrency and parallelism
- 05. programming languages
- chapter 13: data structures and algorithms
- 01. arrays and hashing
- 02. linked lists, stacks, and queues
- 03. trees
- 04. graphs
- 05. sorting and search
- chapter 14: SIMD and GPU programming
- 01. hardware fundamentals
- 02. ARM and NEON
- 03. x86 and AVX
- 04. GPU architecture and CUDA
- 05. triton, TPUs, and Vulkan
- chapter 15: systems design
- 01. systems design fundamentals
- 02. cloud computing
- 03. large scale infrastructure
- 04. ML systems design
- 05. ML design examples
- chapter 16: inference
- 01. quantisation
- 02. efficient architectures
- 03. serving and batching
- 04. edge inference
- 05. scaling and deployment
- chapter 17: intersecting fields
- 01. quantum machine learning
- 02. neuromorphic computing
- 03. AI for finance
- 04. AI for biology
- 05. emerging intersections
- images
- javascripts
- search
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