Frank WorkShop

My WorkShop is more than Data Science

The simplest way to understand Variational Inference

Overview: Generally speaking, Variational Inference(VI) is a specific Statistical inference method that attempts to find the best tractable distribution to replace the intractable distribution when the unknown density function is intractable. In this way, a typical inference problem can be converted to a typical optimization problem. The best tractable distribution we look for is theContinue reading “The simplest way to understand Variational Inference”

Data scientist essential tools setup(single machine)

As a data scientist, you should have a toolbox with some essential tools to perform data analysis and model development. Due to the popularity of Python in data science, an increasing number of analysts choose Python-related software as their primary analytics tools. In this article, I introduced a popular toolbox for basic data analysis andContinue reading “Data scientist essential tools setup(single machine)”

My new paper: Anomaly Detection based on LDA, Autoencoder and GMM

Recently my team has finished a paper about Anomaly Detection. We proposed a novel unsupervised Anomaly Detection model (LAG) based on LDA, Autoencoder, and GMM. Our model can be used on both structured and unstructured data and provides a comprehensive solution for various Anomaly Detection tasks in different industries. Particularly, we provide a way toContinue reading “My new paper: Anomaly Detection based on LDA, Autoencoder and GMM”

Ten questions to thoroughly explain SVM

Recently, many friends asked me how to understand SVM intuitively. They were confused by the complicated mathematical formulas. Today I will thoroughly explain what is SVM through ten questions. For those who need to know the mathematical proofs, please refer to the appendix below. Q1: How to understand SVM most intuitively´╝č Ans1: Firstly, take aContinue reading “Ten questions to thoroughly explain SVM”

Suspicious customer detection with LDA + Auto-Encoder part1

Suspicious customer detection is one of the applications of Fraud Detection or Anomaly Detection. There are many data-driven approaches in this area. This blog will introduce a very novel approach as a good alternative solution for suspicious customer detection: LDA + Auto-Encoder. Different business units or business lines have different perspectives to detect anomaly customers.Continue reading “Suspicious customer detection with LDA + Auto-Encoder part1”

A workflow design with multiple inheritances

Many languages have limitations on multiple inheritances, such as Objective-C, Ruby, Java, because inheriting multiple implementation-oriented classes is prone to diamond inheritance, that is, two-parent classes inherit from the same base class. Then the subclass will contain the contents of two grandparents. Probably you have been always told that do not involve too many superclassContinue reading “A workflow design with multiple inheritances”

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