A playbook for protecting your job position as a data scientist — I have worked with many data scientists in the past years. One thing that I found common among them is the lack of software development skills. A simple, but important, practice in software development is version control that is kinda known as Git in the industry while other technologies exist…

A playbook for developing software with minimum frustration — I have led many development teams in the past years. One thing that I found common among them is the need to build an automated development pipeline. You don’t necessarily need a sophisticated development pipeline. I found even a basic pipeline can prevent many frustrations in your daily development. If…

Along with some insights to prevent common mistakes in computing sentence embedding — We often need to encode text data, including words, sentences, or documents into high-dimensional vectors. The sentence embedding is an important step in various NLP tasks such as sentiment analysis and extractive summarization. A flexible sentence embedding library is needed to prototype fast and to tune for various contexts.

AI ethical challenges: prejudices and biases, economic inequality, and global warming — Before you start reading this article, I want you to drop down your guard. We are all aware of the power of artificial intelligence. I have studied and worked in this field for the past 15 years. …

Whether you are a data scientist or want to be one, you must revisit your toolset — Are you a data scientist looking for a job in non-software enterprises? Do you need to extract insight from a large dataset in a short amount of time? Do you want to evaluate whether your idea is solvable by artificial intelligence? …

A playbook for creating a REST API as a data scientist using Flask and Docker — I recently developed a contextualized most-similar word API service named OWL. The OWL API is an advanced NLP service that is developed using Flask and Docker. This service is shared with the community through a series of REST APIs hosted on the RapidAPI marketplace. …

How no-code AI platforms help the adoption of AI technology on a large scale — First, let me briefly explain what no-code AI technology is. No-code AI is a code-free technology that enables non-AI experts to implement and test their ideas without any need for AI experts. No-code AI platforms help AI experts to build ML solutions faster with fewer efforts. They also provide collaboration…

You can switch to data science while making money if you use this strategy — Many of you would like to switch your career to data science. I am sure you did some research to find what path may suit you best. However, you are not yet sure whether you should take it or not. There are many ways to pursue this career change for…

3 reasons why I think this is a revolution in the AI landscape — Google designed its own AI chip called Tensor to be used in its new Pixel 6 smartphone. The chip combines a GPU, CPU, ISP (image signal processor), TPU (Tensor processing unit), and a dedicated security chip. Tensor is well over four times faster than Qualcomm Snapdragon 765G that was used…