Three Lessons from O’Reilly’s AI Conference Roger Chen (left), CEO of Computable, and Ben Lorica (right), Chief Data Scientist at O’Reilly Media, introducing keynote speakers Becoming a DataKind volunteer has awarded me a unique opportunity to bring together my interests in data science and social impact. For this reason, I was … Read moreWorking Towards an Advanced, Inclusive, andSocially Responsible AI Framework
This is a very brief note that I decided to write after yet again coming across some form of the question “Is time series analysis part of machine learning?/Is time series analysis considered supervised learning?” in a discussion forum. This question is obviously a very broad one, and is to … Read moreTwo thoughts on the question “Are times series models considered part of Machine Learning or…
I was browsing through Kaggle and came across a dataset which included locations in latitudes and longitudes. I haven’t worked with plotting on maps so I decided to take this dataset and explore various options available to work through them. This is a basic guide about what I did and … Read morePlotting business locations on maps using multiple Plotting libraries in Python
As a transition from stringing together premade Tensorflow code and algorithms, I began my journey to becoming a proficient Tensorflow coder by attempting my first implementation of an algorithm described in a paper. This project was my way of incorporating some deep learning into my school work. The original project … Read moreNeural Style Transfer
Artificial Intelligence: an arms race no one cares to control I fear none of the existing machines; what I fear is the extraordinary rapidity with which they are becoming something very different to what they are at present. No class of beings have in any time past made so rapid a … Read moreThe road to Erewohn
The machine learning library TensorFlow has had a long history of releases starting from the initial open-source release from the Google Brain team back in November 2015. Initially developed internally under the name DistBelief, TensorFlow quickly rose to become the most widely used machine learning library today. And not without … Read moreWhat’s new in TensorFlow 2.0?
Intelligence can be defined as a predominantly human ability to accomplish tasks that are generally hard for computers and animals. Artificial Intelligence [AI] is a field attempting to accomplish such tasks with computers. AI is becoming increasingly widespread, as are claims of its relationship with Biological Intelligence. Often these claims … Read moreThe relationship between Biological and Artificial Intelligence
Photo: Angel McCoughtry of the Atlanta Dream playing against the Minnesota Lynx. Using k-means clustering to fulfill my fantasy of building a women’s sports dream team. I had one of those daydreams that come to you from out of nowhere. Before my eyes fell the image of an all-star women’s sports … Read moreHow Machine Learning Made Me Fall in Love with the WNBA
If you can say this about your company OR NOT, you should read this article. Introduction If you are reading this it’s probable that you are doing something with your data or want to do something with it. But, it’s not that easy right? Most data centered projects nowadays (in reality) … Read moreI Have a Lot of Data, I Just Don’t Know Where!
Artificial intelligence is everywhere. Home appliances, automotive, entertainment systems, you name it, they are all packing AI capabilities. The space industry is no exception. In the past few months I have been working on a machine learning application that assists satellite docking from a simple camera video feed. If you … Read moreDeep learning in Space