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Keith's Blog

About
AUTOMATE BLOG
Automate Blog
- Jekyll
- mkdocs
Boardgame Collection
FARMING
Farming
LANG
Lang
- English
- JaPaNeSe
LESSON
Lesson
- AWS MLU - ML university
- AWS innovate - Data edition 2022
- Coursera - Andrew Ng ML
- DL free course
- Daily Bnomial
  Daily Bnomial
- Google ML Bootcamp
  Google ML Bootcamp
- Google cloud skill boost
- Kaggle
  Kaggle
  - Spaceship-titanic
- NLP Book
  NLP Book
  - General Cycle
    
    General Cycle
    
    Data Acquisition
    
    Data Cleansing
    
    Deployment
    
    Evaluation
    
    Feature Engineering
    
    Modeling(Training)
    
    Pre-processing
  - Language Structure
  - NLP approach
  - NLP core task
TECH
Tech
- AWS
  AWS
  - AWS CLI
  - CloudWatch
  - EC2
    
    EC2
    
    Install jupyter on AWS
  - ECS
    
    ECS
    
    Components
    
    Deployment Type
    
    Load balancer
  - IAM
  - Lambda
  - Multi Tenant SaaS
    
    Multi Tenant SaaS
    
    Resource
  - Network
  - S3
  - SageMaker
  - Service Quotas
  - Step Function
    
    Step Function
    
    Call other service’s API
    
    Context Object (i.e. Variable)
    
    step-functions-data-science-sdk-python
  - boto3
- Certificate
- Docker
  Docker
- Git
  Git
- Heroku Hosting
- Linux/Unix
  Linux/Unix
  - Font issue on linux/unix
  - Useful CMD
- ML
  ML
  - Computer Vision
    
    Computer Vision
    
    Common skills
    
    Data augmentation
    
    Evaluation Skill
    
    IceVision
    
    Image data Preprocessing
    
    Remove specific color
  - Dev Resource
  - Glossary
  - List of Algorithm
    
    List of Algorithm
    
    Standard Algorithm
  - List of Learning Approaches
  - NLP
    
    NLP
    
    CJK special handling
    
    NER tagging scheme
    
    Preprocess
  - Practical Skills
    
    Practical Skills
    
    Annotation
    
    Compile model against target hardware
    
    Dimensionality Reduction
    
    Dimensionality Reduction
    
    PCA (Principal Component Analysis)
    
    T-SNE - T-distributed Stochastic Neighbor Embedding
    
    Ensemble Model
    
    Few-shot object detection
    
    MLOps MLOps
    
    MLOps
    
    Pipeline On AWS SageMaker
    
    Metrics
    
    Onnx
    
    Procedure of a New ML Project
    
    Stratified sampling
    
    Tuning & optimization
  - Pytorch
  - Tensorflow / Keras
  - Theory
    
    Theory
    
    Cost function & back propagation & gradient
    
    Gradient Descent
    
    Output layer
    
    Semi-supervised learning
    
    Weight & Bias & Activation & Activation Function
  - scikit-learn
- Mac
- Network
  Network
- Node / JS
  Node / JS
- Python
  Python
  - Built-in small module
  - Data Structure Skill
  - Date Time
  - Env - anaconda/pip/poetry
  - Image lib
  - Import files - Best practice
  - Logger setup
  - Numpy
  - ORM related
  - Pandas
  - Parse Arguments
  - Path / files related
    
    Path / files related
    
    CSV file
    
    H5PY
    
    PDF skills
    
    json file
    
    npz file
  - Resources
  - Scikit-learn
  - Singleton example
  - String Manipulation
  - Text similarity/comparison
  - Unit test
  - Visualization - plotting
  - Vscode Setup
  - Web related
TO READ
To Read

MLOps
- Pipeline On AWS SageMaker

MLOps

Pipeline On AWS SageMaker

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