Predicting the Myers-Briggs Type Indicator (MBTI) of Celebrities Based on Their Favorite Books
Personality prediction tools have been a beneficial and significant tool in the business world. Whether it’s about hiring employees or tailoring products as per a customer’s need, this tool is growing in popularity for fact-based decision-making. One such personality inventory used worldwide is Myers-Briggs Type Indicator... Read more
Announcing the ODSC APAC 2021 Keynotes
Over the past several years, AI has increasingly permeated our lives, transforming how we interact with each other and execute basic tasks like shopping for groceries. As such, it’s imperative that we understand these technologies and the ways that they have and will shape the way... Read more
How to Attend ODSC Europe 2021 for Free
In the nature of open-source data science, we want to make our conferences accessible to those who may not have a chance to attend. For the ODSC Europe 2021 Virtual Conference this June 8th-10th, we have a few ways that you can attend for free to... Read more
Emerging Hotspot Analysis As a Tool For Quantifying Spatial-Temporal Patterns of Deforestation
Geospatial point patterns such as deforestation, crime, disease occurrence, and fires (among others) change across space and time. Identifying how a given geospatial phenomenon has changed over time and space can provide valuable insights into both past and emerging trends, changing landscapes and contexts. While spatial... Read more
Exploring the Advantages of Django Web Framework
Python is the most acclaimed programming language in the world and it is the most used programming language. So, if you are well acquainted with Python, you must have heard about the Django web framework. Django gained popularity among the programming circle in a very short... Read more
Understanding the Mechanism and Types of Recurrent Neural Networks
There are numerous machine learning problems in life that depend on time. For example, in financial fraud detection, we can’t just look at the present transaction; we should also consider previous transactions so that we can model based on their discrepancy. Using machine learning to solve such problems is called sequence learning, or sequence... Read more
Transforming Businesses Through Personalization
In the wake of COVID-19, unprecedented acceleration in digital adoption has significantly re-shaped consumer behavior. The world is experiencing a decade’s worth of digital acceleration over the last few months, leading to significant changes in the way customers interact with brands and how brands interact with... Read more
Fight San Francisco Crime with fast.ai and Deepnote
When most people picture San Francisco and the Bay Area, various positive connotations such as the Golden Gate Bridge, Chinatown, and software companies come to mind. However, like any metropolitan area, its dense population and wealth gap leads to an environment of lots of crime. Thanks... Read more
Anyone that has dealt with Machine Learning (ML) understands that data is a fundamental ingredient to it. Given that a great deal of the world’s organized data already exists inside databases, doesn’t it make sense to bring machine learning capabilities straight to the database itself via... Read more
How to Explain Your ML Models?
Explainability in machine learning (ML) and artificial intelligence (AI) is becoming increasingly important. With the increased demand for explanations and the number of new approaches out there, it could be difficult to know where to start. In this post, we will get hands-on experience in explaining... Read more