- Yesterday Once More!
- 10/1datazone
- 9/24QT
- 9/22AWS
- 9/9Docker
- 9/1Techniques
- 9/1Collect Market Data
- 9/1Market Data Collection
- 9/1Clean & Preprocess Data
- 9/1Feature Engineering
- 9/1Chapter 1: Getting Started with Axios
- 9/1Chapter 2: Detailed HTTP Request Methods
- 9/1Chapter 3: Request and Response Configuration
- 9/1Chapter 4: Interceptor Mechanism
- 9/1Chapter 5: Instantiation and Global Configuration
- 9/1Chapter 6: Error Handling and Retry Mechanisms
- 9/1Chapter 7: Request Cancellation and Concurrency Control
- 9/1Chapter 8: File Upload and Download
- 9/1Chapter 9: Authentication and Security
- 9/1Chapter 10: Performance Optimization and Best Practices
- 9/1Chapter 11: TypeScript Integration
- 9/1Chapter 12: Framework Integration and Practical Applications
- 9/1Axios
- 9/1Blender
- 9/1Chapter 11: Effects and Particle Systems
- 9/1Chapter 12: Physics Simulation and Dynamics
- 9/1Chapter 13: Node System and Procedural Workflow
- 9/1Chapter 1: Getting Started with Docker
- 9/1Chapter 2: Docker Image Management
- 9/1Chapter 3: Container Lifecycle Management
- 9/1Chapter 4: Dockerfile Build Techniques
- 9/1Chapter 5: Volumes and Network Configuration
- 9/1Chapter 6: Docker Compose Orchestration
- 9/1Chapter 7: Container Monitoring and Logging
- 9/1AWS CDK
- 9/1Chapter 1: CDK Overview and Environment Setup
- 9/1Chapter 2: Core Concepts of CDK
- 9/1Chapter 3: Using Basic Constructs
- 9/1Chapter 4: Advanced Constructs Features
- 9/1Chapter 5: Integration of Common AWS Services
- 9/1Chapter 6: CDK Testing and Debugging
- 9/1Chapter 7: Deployment Strategies and Environment Management
- 9/1Chapter 8: Hands-on Project: Full-stack Web Application Deployment
- 9/1Chapter 9: Hands-on Project: Microservices Architecture
- 9/1Chapter 10: Performance Optimization and Cost Control
- 9/1Chapter 11: Security Best Practices
- 9/1Chapter 12: CDK Ecosystem and Extensions
- 9/1AWS IAM
- 9/1Chapter 01: AWS IAM Basic Concepts
- 9/1Chapter 02: IAM User and Group Management
- 9/1Chapter 03: In-depth Understanding of IAM Roles
- 9/1Chapter 04: IAM Policies Explained
- 9/1Chapter 05: Permissions Boundaries and Service Control Policies
- 9/1Chapter 6: IAM Best Practices and Security Principles
- 9/1Chapter 7: Managing IAM Resources with CDK
- 9/1Chapter 8: IAM Integration with Other AWS Services
- 9/1Chapter 9: Federated Identity and Single Sign-On
- 9/1Chapter 10: IAM Access Analysis and Auditing
- 9/1Chapter 11: Advanced IAM Features and Tools
- 9/1Chapter 12: Hands-on Project: Enterprise-level IAM Architecture Design
- 9/1Chapter 1: AWS Lambda Basic Concepts
- 9/1Chapter 2: Lambda Function Lifecycle and Runtimes
- 9/1Chapter 3: Manually Creating and Configuring Lambda Functions
- 9/1Chapter 4: Lambda Event Sources and Triggers
- 9/1Chapter 5: AWS CDK Basics
- 9/1Chapter 6: Creating Lambda Functions with CDK
- 9/1Chapter 7: Advanced Lambda Configuration in CDK
- 9/1Chapter 8: Lambda Integration with Other AWS Services
- 9/1Chapter 9: Lambda Best Practices and Performance Optimization
- 9/1AWS Lambda
- 9/1第 1 章：入门基础
- 9/1第 2 章：核心工具类
- 9/1第 3 章：样式与美化
- 9/1第 4 章：进阶特性
- 9/1第 5 章：配置与定制
- 9/1第 6 章：实战项目
- 9/1第 7 章：框架集成
- 9/1第 8 章：性能优化与最佳实践
- 9/1第 9 章：扩展学习
- 8/10How to clone private Repo
- 7/31Biweekly Meeting
- 7/31Biweekly Meeting
- 6/1900. How to install on ubuntu
- 5/31Data Labeling - Label Studio
- 5/31Yolo - Training
- 2/26
- 2/26Matter And Space
- 1/27MARCO
- 1/11Sqlite
- 1/6Mermaid - Convertor
- 1/1Local Stack - Getting Started
- 1/1Local Stack - S3 Operation
- 1/1Local Stack
- 12/27PyTorch - CNN
- 12/27PyTorch - Data Loader
- 12/27PyTorch - Linear Regression
- 12/27PyTorch - Basic
- 12/26PyTorch
- 12/1Multiple Thread Run CMD
- 11/20Financial Models
- 11/20Finance
- 11/19Binance
- 11/18CDK
- 11/17Neo4j
- 10/2305. Dockerfile Example
- 10/2306. Docker Network
- 10/2306. Docker Network
- 10/22Math Problems
- 10/22How to Get Combination Range
- 10/1201. Nginx Relase
- 10/1202. Nginx Basic Usuage
- 10/1203. Nginx Advanced Usuage
- 10/10Calculating Working Hours
- 10/9Correlated synthetic data
- 9/26WSL Basic Commands
- 9/2404. Text Properties
- 9/2405. Elements
- 9/23HTML+CSS
- 9/2102. HTML Senmantic
- 9/2103. HTML Elements Types
- 9/2001. HTML Statement
- 9/15Distributions
- 9/4DynamoDB
- 9/4SingleTable
- 8/800.Basic Concept
- 8/8Docker Diagnosis
- 8/5pyinstaller
- 8/5FastAPI
- 8/1Unisa Resources
- 8/1Access Frequency - Intervention
- 8/1Intervention
- 7/31Writing Essay - Template
- 7/290. Online Platform
- 7/28Filling In Blank - RW
- 7/26Google Drive Mount
- 7/20Multiple Choice Reading
- 7/16Variables for predicting academic achievement
- 7/11LLM Constellation Architecture for Healthcare
- 7/10A Visual Analytics Approach
- 7/10Nature of Async
- 7/902. Basic Usuage - Images
- 7/903. Containers Connection
- 7/904. Dockerfile
- 7/9Run OS in docker
- 7/8cifs
- 7/801. Basic Usuage - Container
- 7/510. Dialog Agent Readme
- 7/511. Dialog Agent - Setup
- 7/4GeoNode
- 7/2QMatrix - Task Assignment
- 7/1QMatrix 3
- 7/1Embeddings and Vector Databases
- 6/27Others
- 6/24QMatrix 2
- 6/20WFD
- 6/17DI-Exercise
- 6/17DI-Template
- 6/17PTE-RA
- 6/17RL-Template
- 6/17How to interpret Sensitivity Report
- 6/17Excel Solver
- 6/6Project Description
- 6/2Assessment 2.2 - Project Implementation Report
- 6/1Final Presentation Scripts
- 5/27Assignment 2 – Optimisation
- 5/16Assignment 2 – Credit Scoring
- 5/1609. Credit Scoring
- 5/14Assessment 2.1 - Project Preliminary Report
- 5/1107. Risk Analysis
- 4/30Exercise 2: Risk Analysis
- 4/25Continuous Assessment 1.2
- 4/24HuggingFace
- 4/14UO Text and Social Media Analytics
- 4/13Continuous Assessment 1.1
- 3/30CDM Models
- 3/29Assignment 1
- 3/29API usuage
- 3/29Tile Coordinates
- 3/29WMTS
- 3/23Exercise 1: Food for thoughts
- 3/2303. Market Segmentation (W3)
- 3/2304. Probability distributions (W4)
- 3/2305. Time series analysis (W5)
- 3/2202. Descriptive Analytics (W2)
- 3/19Presentation Scripts
- 3/1601. Project Plan
- 3/1601. Customer Analytics (W1)
- 3/4485 Visa
- 3/401. Project Info
- 3/4C3L
- 3/4Curriculums Hierachy Graph
- 3/109. Confirmatory Factor Analysis
- 2/29Confirmatory Factor Analysis
- 2/29Statistical Math
- 2/28Term4(2024SP2&SP3)
- 2/28Documents lib
- 2/28Capstone Professional Project
- 2/28Customer Analytics in Large Organisations
- 2/2208. GLOBEM Analysis
- 2/1807. GLOBEM
- 2/15K-Means
- 1/27QA
- 1/26File MD5
- 1/22Finetuning
- 1/2206. Summary for Reflective Level
- 1/20Scan and Load Dynamically
- 1/15Face Recognizer using Python
- 1/15Face Recognizer using Python
- 1/15vlc & rtsp
- 1/14Install DeepFaceLive on Windows
- 1/14Face Recognizer using Python
- 1/14Resources
- 1/12Resources
- 1/12Basic Tools for Wechat
- 1/12SPF For Components
- 1/12External JS and CSS
- 1/12Droidcam
- 1/11Project Info
- 1/11Meeting
- 1/11Beautiful Soup
- 1/9Chapter 9 CI/CD Integration and Automation
- 1/8Chapter 8 Docker Security and Best Practices
- 1/8Audio to Text (OpenAI)
- 1/8AI for Videos
- 1/6Chapter 6: Texture Creation and UV Mapping
- 1/6Jupyter
- 1/5Others
- 1/5Chapter 5: Material System and Shaders
- 1/5Peft docs
- 1/5OpenVoice Voice Cloning
- 1/4Chapter 4: Advanced Modeling Techniques
- 1/3Chapter 3: Basic Modeling Techniques
- 1/2Chapter 2: 3D Fundamentals and Coordinate Systems
- 1/1Chapter 1: Blender Basics
- 1/1Chapter 7: Lighting and Render Settings
- 1/1Chapter 8: Animation Basics and Keyframes
- 1/1Chapter 9: Character Rigging and Armature System
- 1/1Chapter 10: Character Animation and Performance
- 12/30Http Authorization
- 12/2805. Levels of Reflective Text
- 12/22Logging
- 12/19Q&A
- 12/19Use cases
- 12/18SingleClass
- 12/16JS Libraries
- 12/15Academic Skill
- 12/15Download TS
- 12/13Fine-tune for Models
- 12/13Problems of Git Action
- 12/1004. Feedback Seeking Behivior
- 12/702 Cursus Period
- 12/6Markmap
- 12/3Environment
- 12/2GDAL in python
- 12/1OSGEO Resources
- 11/27AI Models List
- 11/27CUDA Torch
- 11/27Audio to Text (DeepSpeech)
- 11/27Fine Tune Models
- 11/2502. Meeting
- 11/1801. Resources - old
- 11/1803. Motifs in Temporal Networks
- 11/18HS & LP
- 11/1406. Local AIGC
- 11/13Axios Basic
- 11/13Config Options
- 11/13Examples
- 11/13Interceptor
- 11/1301. Vue-cli Basic
- 11/1103. Style Characteristics
- 11/1104. Units
- 11/1105. Document Flow
- 11/1106. DIV
- 11/1107. Float
- 11/1108. Flex
- 11/1109. Postion
- 11/1110. Font & Background
- 11/1111. Table & Form
- 11/1112. Animation
- 11/1101. Life Cycle
- 11/1102. Directive
- 11/1103. Computed Attributes
- 11/1104. Filter
- 11/1105. Life Cycle Events
- 11/1106. Components
- 11/1107. Plugins
- 11/11Senior Functions
- 11/7CSV
- 11/505. Generative AI
- 11/501. CSS Index
- 11/501. CSS Selector
- 11/5HTML Editor
- 11/5HTML
- 11/2SageMaker
- 10/29Basic Usuage
- 10/2904. Google Could API
- 10/29Project - Kalman Filter
- 10/29Project - Kalman Filter (Discard)
- 10/29Pip configuration
- 10/27Google Colab Techniques
- 10/2703. Events Ranking
- 10/2701. Key Words
- 10/27Narrative Summarization
- 10/2702. Text Summarization
- 10/2707. UI&Server
- 10/27Vector Database
- 10/27Manuscript
- 10/20Requirements of Assign2
- 10/20Assignment 2
- 10/1906.Data Stream(W7&8&9)
- 10/1907.Geospatial(W10&11)
- 10/19Practices Part3
- 10/19Practices Part4
- 10/17KMS
- 10/17PDF
- 10/905.Text Mining(W6)
- 10/2Assignment 2
- 10/2Requirements of Project
- 9/2902.Time Series Analysis
- 9/28Prac: Synthetic Generation
- 9/22Requirements of Assign2
- 9/22UltraVNC
- 8/31Prac: ARCH & GARCH
- 8/31Prac: Rainfall (GAMMA)
- 8/26Proxy
- 8/26Numpy
- 8/26Pandas
- 8/26Virtual Environment
- 8/25Assignment 1
- 8/25Requirements of Assign1
- 8/2503.Bayesian networks(W4)
- 8/2504.Bayesian networks(W5)
- 8/25Requirements of Project
- 8/25Project
- 8/22Makefile
- 8/19Nginx
- 8/19Nodejs
- 8/18Requirements of Assign1
- 8/18Assignment1
- 8/1702.Bayesian networks(W3)
- 8/1602. Forcasting
- 8/1300. Basic Concept of Docker
- 8/902.Time Series Analysis
- 8/903. Time Series Analysis (Jhon)
- 8/7Environment Configuration
- 8/6Practices
- 8/501. Ruby Basic
- 8/5Ruby Language
- 8/3Practices Part1
- 8/3Practices Part2
- 8/3Process for the Whole Task
- 8/3Notion skills
- 8/2ssh service
- 8/2Vuepress - Theme Hope
- 8/201.Linear Regression
- 8/2Prac: Trend & Seasonality
- 8/1Index of Modules Outlines
- 7/3101.Naïve Bayes Classifier
- 7/25Advanced Analytic 1
- 7/25Advanced Analytic 2
- 7/25D.S.Pro Dev
- 7/24Test tools
- 7/24Amplify
- 7/24CLI
- 7/24Lambda
- 7/23Basic Usage
- 7/21YouTube
- 7/21R Language
- 7/20Big Data Concepts
- 7/20Relational Databases and Warehouses
- 7/20Statistical Programming for Data Science
- 7/20Statistics for Data Science
- 7/20Data Visualisation
- 7/20Predictive Analytics
- 7/20Research Methods
- 7/20Unsupervised Methods in Analytics
- 7/20Fourier Series Models
- 7/20Data Science Professional Development
- 7/2001. R language Basic
- 7/2002. Statistical tests
- 7/2003. Data manipulation
- 7/19Work
- 7/19Math
- 7/19ontask
- 7/19Advanced Mathematics
- 7/19Term3(2023SP5)
- 7/19Psql DB conn Pool
- 7/17AWS
- 7/17Python
- 7/17Python - Async
- 7/17Python - Big Data
- 7/17Python - Common
- 7/17Python - DB
- 7/17Python - Dynamic
- 7/17Python - Web
- 7/15WFS(Vivid) Retrive and Analysis
- 7/13Models
- 7/13Study
- 7/13Agents Orchestration
- 7/13CDM
- 7/13Causal Prism
- 7/13RAG
- 7/1342 Adelaide Life
- 7/13PTE
- 7/13Unisa
- 7/13Visa
- 7/13Archive
- 7/13libft
- 7/1301 Piscine Period
- 7/13Listening
- 7/13Reading
- 7/13Speaking
- 7/13Writing
- 7/13Term1(2022SP5)
- 7/13Term2(2023SP2)
- 7/13AI Related
- 7/13Database
- 7/13ECurrency
- 7/13Graph
- 7/13Tools
- 7/13WSL
- 7/13WeChat
- 7/13Coding
- 7/13Geoscience
- 7/13Media
- 7/13Streamlit
- 7/13Ubuntu Related
- 7/13Vuepress
- 7/13Basic Concept
- 7/13Object Detection
- 7/13Others
- 7/13RAG
- 7/13Graph - Mermaid
- 7/13Excel
- 7/13Google Colab
- 7/13Hyper-V
- 7/13OBS
- 7/13Docker
- 7/13ffmpeg
- 7/13Git & Github
- 7/13Front-End
- 7/13OGC
- 7/13OSGEO
- 7/13Others
- 7/13Clustering Algorithm
- 7/13OpenAI
- 7/13OBS Plugins
- 7/13AXIOS
- 7/13CSS
- 7/13VUE
- 7/13VUE-CLI
- 7/10AI Super Resoluction
- 7/10Warp a Geotif
- 7/10Thread