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    2018

  • Apr 05
    Machine Learning Notes
  • Apr 04
    Machine Learning Application —— Photo OCR
  • Apr 03
    How to Optimize Algorithms in Large-Scale Machine Learning?
  • Apr 02
    Collaborative Filtering and Low-Rank Matrix Factorization in Recommender Systems
  • Apr 01
    Anomaly Detection in Machine Learning
  • Mar 31
    PCA and Dimensionality Reduction
  • Mar 30
    Unsupervised Learning
  • Mar 29
    A First Look at Support Vector Machines
  • Mar 28
    What Should You Consider When Designing a Machine Learning System?
  • Mar 27
    Machine Learning Algorithm Evaluation
  • Mar 26
    Hands-on Neural Network Backpropagation
  • Mar 25
    Derivation of the Neural Network Backpropagation Algorithm
  • Mar 24
    A First Look at Neural Networks
  • Mar 23
    What Is Regularization?
  • Mar 22
    Logistic Regression
  • Mar 22
    Octave Matlab Tutorial
  • Mar 21
    Computational Parameter Analysis —— Normal Equation Method
  • Mar 20
    Multiple Linear Regression
  • Mar 18
    How to Understand Gradient Descent?
  • Mar 18
    What Is Machine Learning?

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