Cognitive Science Behind the Artificial Neural Networks (ANN) — This is a neuron. It’s a nerve cell. Neurons are the fundamental units of the human brain, and our brain has about 90 billion of them. Neurons are responsible for all connections to, from, and within the central nervous system (brain & spinal cord). Neurons communicate with other cells by…

Developing spatial ability to enhance performance in STEM — Shortly after graduating from Rhode Island School of Design (RISD), I received an alumni email from RISD about its former President John Maeda’s initiative to integrate arts into STEM (science, technology, engineering, and mathematics) education, calling it STEAM. …

How to Build a CNN-LSTM architecture in Python — I have been working on an exploratory project to build a conceptual description model that generates interpretation for artworks. To begin, I started using a CNN-LSTM architecture that can work as a simple caption generator. In this post, I will describe how to build a basic CNN-LSTM architecture to create…

Let me make your life easier… — Creating presentable plots in Python can be a bit daunting. It’s especially so if you are used to making your visualizations using other BI software or even R, where most plots come already prettified for you. Another problem is that there are many ways things can go wrong and ways…

Just a quick tutorial — Processing a large amount of data on a local machine can be a hassle sometimes, especially if our primary purpose is rather exploratory. I ran into this problem when I wanted to see the overall trend of open policing data. The Stanford Open Policing Project gathers data on vehicular and…

Is Numpy Always Faster? — For Data Scientists, Pandas and Numpy are both essential tools in Python. We know Numpy runs vector and matrix operations very efficiently, while Pandas provides the R-like data frames allowing intuitive tabular data analysis. A consensus is that Numpy is more optimized for arithmetic computations. Is this always the case…

DBMS, SQL, NoSQL, Hadoop, Columnar, Relational, Big Data, and more… — We all have that love and hate relationship with the database, more specifically the data management system (DBMS). It’s an integral part that defines how to access one of the most valuable assets of the 21st century, and it drives many of our passion and determines our workflow. But it…

Getting Address, Postal Code, Distance, and More — Longitude and latitude are great measures to obtain relatively precise locations of the observations, but oftentimes these coordinates alone do not tell enough stories. How can we easily convert these measures to something more meaningful? Geopy We can do many things with these coordinates using the Geopy library. Geopy can calculate…

NLP preprocessing, BoW, TF-IDF, Naive Bayes, SVM, Spacy, Shapely, LSTM, and more — In this post, I will explain a few basic machine learning approaches in classifying tweet sentiment and how to run them in Python. Sentiment Analysis Sentiment analysis is used to identify the affect or emotion (positive, negative, or neutral) of the data. For a business, it is a simple way to determine…