The fastest way to keep up to the rapid development of AI if you have just started today — Introduction Is AI developing way too fast for us? Pathways to becoming a machine learning working professional is long in 2023, and it will only keep on getting longer and longer. Machine learning, the foundational subdomain of AI, has become an integral part of various industries, from healthcare to finance and…

Disaster message classification model from research to production — Automatic containerization and deployment of the model — The excitement has begun. I hope you enjoyed part 1 of the series on how to turn your NLP model in jupyter notebooks into production-ready models, where we have successfully automated a series of steps including data acquisition, data processing, model training, model evaluation, and model packaging. That’s all fantastic…

Disaster message classification model from research to production — Automatic training, testing and packaging of the model — S.o.s. Emergencies could happen anytime, anywhere. As we navigate through this devastating global pandemic, we are now witnessing the absolute brilliance of all the frontline first responders. In fact, sending rescue units are only part of their already laborious jobs. When a disaster hit, aid request messages would come fast…

Applications of N-grams in Content Spinning for Internet Marketing — Imagine you are starting a new business. You have an amazing product that could potentially disrupt a 100-million-dollar industry, but virtually nobody knows about it. How would you get your first set of early adopters? The easy answer is to make your content discoverable from the internet- getting on the…

Applications of Sklearn Pipelines, SHAP and Object-oriented programming in Sentiment Analysis — Let’s continue our sentiment analysis journey. Remember last time we talked about using the bag of words model to detect sentiments of review texts, which we already have a relatively good performance. Today we will build upon what we have already accomplished and upgrade the bag of words model with…

Applications of Sklearn Pipelines, SHAP and Object-oriented programming in Sentiment Analysis — Do you know that we already (almost) solved sentiment analysis problems before neural networks become ubiquitous? In the current era of natural language processing (NLP) increasingly relying on deep learning models that generate amazing performances, we have often overlooked the importance of the simplest types of text vectorization techniques —…

How this project helped me understand those legendary word bigrams — Time to start some new learning adventures in natural language processing. What? Isn’t this supposed to be kickstarted by a spam detection project? As you might probably think, cipher decryption might be a curious place to start an NLP series. This starting place has strong ties to do my desire…

A practical example of how to bring values to your business using data science — Take a guess. What is the world’s most valuable asset right now? It is not gold, not crude oil… it is data. You must have heard about the popular buzz word “big data”, and wondering what exactly that term means. Think about your favorite music streaming services — Spotify, Pandora……

Are you ready for your brand new data science career? Here is what you should know about data scientist careers learned from data science — 2018. The future is already here. Following the gold rush in artificial intelligence, a new career track called “data scientists” has taken the world by storm. With a combination of skills in business intuition and technical soundness, data science is considered the sexiest job in the 21st century. …