# Larry’s Data Science & AI Notes > A curated collection of my notes and tutorials on **Data Science**, **Machine Learning**, **Computer Vision**, and **Backend Deployment**. > 持續更新中 --- ## 👤 About Me - [About Me](https://hackmd.io/@xhw14616/aboutme) --- ## Fundamentals of Data Science ### Dimensionality Reduction - [Dimensionality Reduction: Overview & Motivation](https://hackmd.io/@xhw14616/Hk7JAX0pJe) - [PCA](https://hackmd.io/@xhw14616/PCA) - [LDA](https://hackmd.io/@xhw14616/LDA) - [MDS](https://hackmd.io/@xhw14616/MDS) - [Isomap](https://hackmd.io/@xhw14616/Isomap) - [Diffusion Maps](https://hackmd.io/@xhw14616/diffusionmaps) - [Laplacian Eigenmaps](https://hackmd.io/@xhw14616/LE) - [LLE](https://hackmd.io/@xhw14616/LLE) - [Kernel PCA](https://hackmd.io/@xhw14616/PCA) 👉 如果你覺得基礎忘光了： - [A Linear Algebra Refresher](/lWjCJiLDRUOzuv4wnHPysQ) ### Clustering - [Clustering: k-means and k-medoids](https://hackmd.io/@xhw14616/clustering) --- ## Computer Vision - [Low Rank Representation, RPCA and TILT](https://hackmd.io/@xhw14616/Bk1QtTApJx) - [Image-to-Image](https://hackmd.io/@S8Nc-7uTRbWbcCkMYNvWXA/S1OYcystxx) --- ## Training Techniques - [LoRA: Low-Rank Adaptation](https://hackmd.io/@xhw14616/lora) --- ## Backend & Deployment - [Kubernetes architecture](https://hackmd.io/@xhw14616/k8s_ar) - [Deploying a Service to GKE](https://hackmd.io/@xhw14616/k8s)
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