On my previous article, I have demonstrated how to search for locations, which is basically points, given a region (in form of polygon) or central point. Now what if we have a bunch of regions and we want to query those regions, to answer the question of “given a point and a circle from that point, what are the regions that surround it?”.
Other than PostGIS, Elasticsearch has the similar functionality to do geo spatial queries. Here I am not going to compare between these two technologies, but to my limited knowledge, elasticsearch could be used for geo spatial search, however it should not be used to store persistent data as opposed to PostgreSQL and PostGIS. I will focus instead to how to index geo spatial documents / data and query it.
Elasticsearch main functionality is not limited to text search with specific tokenizer / analyzer, but it would also be able to serve a fast autocomplete! Here I will briefly explain simple steps to enable the autocomplete search.
Elasticsearch is a great tool to enable search within, not only text data, but also multifield objects. Colima is an alternative to docker, since docker desktop has changed their license to be more commercial focus I have to search for alternative and I found that Colima is one stable alternative for mac. In this guide I will introduce a quick start how to get elasticsearch up in local development environment with docker-compose and colima.
Speechbrain is a framework to experiments with neural network in speech. It has components and structure that is usually used for speech tasks, and nicely integrated with pytorch. They have lots of recipes / quickstart configurations for certain speech tasks, but their documentation is not there yet. In this article I’ll explain my exploration for speechbrain parameters, especially for automatic speech recognition (ASR) with connectiionist temporal classification (CTC) loss.
CNN has been used intensively in image processing tasks. However, what about in text? is it feasible to use it in text? and what kind of output will it be translated when we’re using CNN in text?
BLEU is a metric to quantify effectiveness of an Machine Translation (MT). It stands for BiLingual Evaluation Understudy $^{[1]}$. In general it solves the problem of different human translation references by different annotators when comparing to machine generated translation. Let’s start from using BLEU in NLTK translation package $^{[2]}$
This is my personal choice for productivity tools, you may find these tools usefull but you may also find differently. I use ubuntu desktop and android phone, so my personal choices will based on these platforms.
Short introduction to vector operation in python numpy in logistic regression.
This is my notes for Deep Learning Course in Coursera. I jumped straight to week 2 because week 1 is about introduction that I’ve known. Week 2 in summary is structured as: starting from binary classification with logistic regression, loss function and cost function, computational graph.
This is a too long didn’t listen (TLDL) version of radical candor ep.5 summary. As a reminder for myself in the future and a person who prefer reading than listening because I quickly forgot. NB: when I use “people” here it usually means software engineers.
A general advice on focusing on positive thoughts and less on negative thoughts. I found this will very helpful for me for now and in the future to fight for my thoughts and focus on what’s important. Hopefully this could also be inspiration for anyone else. Special thanks for Talk at Google and Happify to share.
This post shows how to do conjoint analysis using python. Conjoint analysis is a method to find the most prefered settings of a product [11].
In this post, I just want to summarize statistics terms, that might be used when analyzing data or reading papers.
I’ve implemented virtebi algorithm and explain the advantage from naive approach at last post. Now it’s time to look at another use case example: the Part of Speech Tagging!
Introduction to Virtebi Algorithm, Virtebi Path, Markov Chain, Hidden Markov Model.
One way ANOVA (Analysis of Variance) is a technique for hypothesis testing. It is used to test whether the means of different group is really different.
It is a probabilistic data structure, that is commonly used to ask question “whether an element is in it or not?”. From my description, it does seems like a job that Set can do, sooo…
moved from here