Boruta Feature Selection
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Purpose
Boruta is designed to determine which variables (features) are significant in predicting the outcome with the given dataset. It is particularly useful when dealing with high-dimensional data.
Blog posts
2024
Kernel Density Estimation
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It has been a while since I last took some learning notes - I have been buried in work and trying to figure out a balance, and wasting my time …
Financial Credit Risk Management
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信贷业务模型维度
Fully Convolutional Networks
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A summary of FCN (Fully Convolutional Networks)
Convolutional Neural Networks
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什么是卷积神经网络（CNN）？它在计算机视觉中的应用是什么？
Basic pandas
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Python, data science, pandas
Basic numpy
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Python, data science, numpy
Happy 31th birthday
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今天不谈机器学习，不再整理一些记不住的知识，而是在三十又一的当下，记录一下最近的思考。
Clustering alrogithms
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gradient descent, stochastic gradient descent, batch gradient descent
Activation Functions
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激活函数（Activation Function），负责将神经元的输入映射到输出端，激活函数将神经网络中将输入信号的总和转换为输出信号。激活函数大多是非线性函数，才能将多层感知机的输出转换为非线性，使得神经网络可以任意逼近任何非线性函数，进而可以应用到众多的非线性模型中。
Loss Functions
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Regression Loss Functions
Classification Algorithms
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Classification Algorithms
Time-series Forecasting
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ARIMA (Autoregressive Integrated Moving Average)
It is a popular statistical analysis model used for forecasting time series data. ARIMA models are especially well-suited for short to medium-term forecasting models that have data with trends, seasonality, or cyclic patterns. The model aims to describe the autocorrelations in the data.
Clustering alrogithms
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The importance of clustering are of
Metrics to Evaluate Predictive Models
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Metrics used to evaluate predictive modeling, highly used in regression, time-series forecasting cases.
Donut: an OCR-free Document Understanding Transformer
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My notes on this paper: OCR-free Document Understanding Transformer (github repo).
Object Detection Algorithms
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A summary of object detection algorithms