A.I, Data and Software Engineering

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Understanding Latent Dirichlet Allocation (LDA)

petamind

Imagine a large law firm takes over a smaller law firm and tries to identify the documents corresponding to different types of cases such as civil or criminal cases which the smaller firm has dealt or is currently dealing with. The presumption is that the documents are not already classified by the smaller law firm. An intuitive way of identifying the documents in such situations is to look for...

Play with computer vision using teachable machine

petamind

Nowadays, with the existing tools, creating an AI application is not so complicated. In this post, I will quickly show how easy you can make a computer vision project within 10 minutes. Steps Create a computer vision project in Teachable machinePrepare some images of different classes, e.g. cup, people, hand.Upload photos and train the modelDownload the model and integrate to your website (web...

How to Write a Research Question

petamind

The research question, if correctly completed, will help you to set out what it is that you want to answer. This can help you make a plan for your research, but might also help you to foresee any potential challenges or problems. This will save you time, energy, and effort. Therefore, it is extremely important for ones who pursuit research careers, such as PhD, Analysts, or R&D. What is a...

Number of Islands solution

petamind

In this post, we have a look at using a queue and breath-first search algorithm to solve a Leetcode challenge. The problem is stated as follows. Given an m x n 2D binary grid grid which represents a map of '1's (land) and '0's (water), return the number of islands. An island is surrounded by water and is formed by connecting adjacent lands horizontally or vertically. You may assume all four edges...

SAMPLING Bagging vs Pasting

One way to get a diverse set of classifiers is to use very different training algorithms,as just discussed. Another approach is to use the same training algorithm for everypredictor but to train them on different random subsets of the training set. Whensampling is performed with replacement, this method is called bagging(short for bootstrap aggregating). When sampling is performed without...

A.I, Data and Software Engineering

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