526互联

MLE / DS / AI Path

发布时间 2023-07-10 00:00:24作者: ForHHeart

Overview

Phd

1. Knowledge

(1) Programming Tool

  • Python Basics: loop, class, function, OOP, OS library
  • Python data science library: NumPy, Pandas, Matplotlib, Seaborn
  • Python machine learning library: Sklearn
  • Python deep learning library: Pytorch
  • SQL
  • (R)
  • Power BI
  • Git
  • (Java)

(2) Math for Machine Learning

  • Advanced Mathematics: Calculas
  • Linear Algebra: Matrix/Vector/Eigenvalue & Eigenvector
  • Probability and Mathematical Statistics: Random Variable Research Methods / Random Variable Distribution
  • Statistics: Law of Large Numbers & the Central Limit Theorem / Parameter Estimation / Hypothesis Testing / Correlation Analysis

(3) Machine Learning Algorithms & Code

  • Data Mining
    • EDA & Data Visualization
    • Data preprocessing
      • Missing Values
      • Outliers
      • Label encoder & Onehot encoder
    • Feature Engineering
      • Feature Extraction
      • Feature Scaling
  • Traditional Machine Learning
    • Supervised Machine Learning
      • Linear Model
      • Support Vector Machine, SVM
      • Generative Learning
      • Tree-based and ensemble methods
        • CART: Dicision Tree, Regression Tree
        • RandomForest
        • Boosting: Adaptive Boosting(e.g. Adaboost), Gradient Boosting(e.g. XGboost, LightGBM)
    • Unsupervised Machine Learning
      • Clustering
      • Dimension reduction
    • Reinforcement Learning
      • Markov Chain
  • Neural Network
    • Multi-layer Perception, MLP
      • BP Neural Network
    • Computer Visualization, CV
      • CNN
      • Article Reading & Original Code: AlexNet/ZFNet/GoogleNet/VGGNet/ResNet/DenseNet/SENet/MobileNet/ShuffleNet/EfficientNet
      • Transformer
      • U-Net
      • Yolo
      • GAN
    • Natural Language Processing, NLP
      • RNN
      • LSTM/GRU/B-RNN/M-RNN
      • Seq2Seq
      • Transformer
      • Bert
      • GPT
      • Prompt Learning
  • Knowledge Graph
    • Bert

2. Publication

Intern

1. Solid Skills

  • Interview Questions, Data visualization, implement Model Algorithms manually
  • Resume : Projects(Put into GitHub), Research(Publication), Kaggle Awards
  • LeetCode: SQL, Data Structure(Python)

2. Soft Skills

  • Linkedin Networking Template
  • Business English

3. Additional Skills

  • Full-stack development project(Udemy)