PinnedA knowledge graph (NLP) based approach for the identification of factors influencing premature birth of babiesIntroduction Premature birth is increasing across the globe with approximately 15 million cases reported annually[1]. It is also the main cause of neonatal death among all reported cases of deaths in children below 5 years old[1–2]. Motivation Being a data scientist, I was very much touched by the pain and suffering parents…Biomedical7 min read
PinnedGraph representation learning using node2vec on a toy biological dataLearn to embed your network graph A network or a graph is a representation to show the relationship between objects in a 2 dimensional or multidimensional space. The objects are called nodes and the relationship between the nodes are the edges in a graph. …Node 2 Vec5 min read
Published in Towards AI·PinnedHands-on CI/CD Bitbucket Pipeline for Data ScientistsTake the first step into MLOps Introduction The rapid research and development of AI technologies have increased the need for data scientists to be familiar with Continuous Integration (CI), Continuous Testing, and Continuous Delivery (CD). In this article, using the bitbucket pipeline feature, I will go over a toy example to…Machine Learning6 min read
PinnedPython probability game puzzle for data scientistsIn this blog post, we will look at a probability puzzle that I found on StackExchange. “A linear game board has 12 spaces. A moose starts on space 7, and a hunter on space 1. On each game turn, a 6-sided die is rolled. On a result of 1 to…Probability5 min read
Published in Artificialis·Mar 10Bioinformatics for data scientists-Find the topmost frequent k-mers in a genomic segmentIf you are someone with an interest in solving biological problems but do not have a background in Genomics, then this blog post is a good starting point for you to understand some of the major terminologies and problems in the field of genomics. Here, I give a high-level overview…Data Science5 min read
Published in Towards AI·Jul 7, 2021Hands-on Introduction to MLflow With a Toy BMI ExampleTrack your ML models like never before — Intuition Imagine you are the leader of a land navigation group following an unfamiliar route on foot. What would you do to track the path you are traveling? You could use stones and sticks to mark certain landmarks. This can help your team to remember the path you followed to reach…Mlflow5 min read
Jun 27, 2021A practical introduction to static, interactive, and streaming time series plotsLearn to load and visualize time series data? Introduction Time series is a collection of time-stamped data collected over time. Time series data have numerous applications in various industries including healthcare, manufacturing, economics, etc. It helps to monitor changes in a process or behavior to make intelligent decisions that impact the…Timeseries4 min read
Jun 19, 2021Developing an awesome personalityAn opinion post It’s the individuality of the king that shapes the character of the country. It’s the individuality of the manager that shapes the character of the company. One who leads defines what follows. Being open to ideas and new rules of the game enriches the basic dimensions of…Psychology2 min read
Jun 19, 2021How to build a positive organizational company culture for AI service companies?Tips to define attitudes and behaviors of an AI service company and its employees Every successful company that scaled from scratch has strong cultural values upon which they attribute their success. For many of these companies, their mission is driven by their culture. …Company Culture2 min read
Jun 19, 2021Agile problem-solving patterns for data scienceWith the right patterns, the right data science solution emerges — Goal The goal of this article is to introduce you to the importance of learning patterns to solve challenging data science problems within a timeframe. By going over a toy problem, I will show you how we can deduce certain patterns from a simple data science problem that is undefined. Introduction Every…Data Science6 min read
