Highlights

Topics

Techniques and Modelling

Data processing framework:
kernels, algorithms, models and their processing techniques

Statistical and Bayesian Approach

Statistical learning, Bayesian inference, Probabilistic problems

Experiments

Practical problems or projects

Other

Competitive programming, sudden ideas or contemplation

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Top Posts

Experiments

Neural Algorithm of Artistic Style Transfer: Understanding with PyTorch examples

Convolutional Neural Network brings several breakthroughs for supervised tasks in Computer vision and other visual problems in Artificial Intelligence. Moreover, semi-supervised or unsupervised learning…

Techniques and Modelling

Some Deep Learning
Regularization Techniques

Machine learning models contain a number of parameters, as a system of equations. If the number of parameters is too low, models do not afford to approximate data representation, called under-fitting…

Statistical and Bayesian Approach

Getting started with Bayesian Inference

Bayesian inference is an important technique in statistics, particularly in the dynamic analysis of a sequence of data. It has a wide range of contributions, including …

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Latest Posts

• Shortest Subarray with Sum at Least KApril 26, 2020
  It has been 3 years since the last time I practised competitive programming. Despite the passing of time, as long…
• Neural Algorithm of Artistic Style Transfer: Understanding with PyTorch examplesApril 20, 2020
  Convolutional Neural Network brings several breakthroughs for supervised tasks in Computer Vision and other visual problems in Artificial Intelligence. Moreover,…
• Variational Inference algorithmMarch 24, 2020
  Sampling data or approximating probabilistic densities is one of the core problems in modern statistics, especially in Bayesian statistic. Beside…
• Getting started with Bayesian InferenceMarch 23, 2020
  Bayesian inference is an important technique in statistics, particularly in the analysis of a sequence of data. It has a…
• Jensen’s inequality and applications: EM Algorithm and ELBO in SVIMarch 15, 2020
  Accidentally, I learned the ELBO of SVI and realised some interesting things. SVI transforms its optimization problem from finding parameters…
• Principle component analysis (PCA) example: Experiments with Iris DatasetMarch 13, 2020
  This article shows practising PCA with Iris dataset. More detail about PCA, read the post Principal Component Analysis. Preparation Import…