Risk as a Narrative Construct
I had some magical moments in my life. Perhaps the most magical was the summer I went to work wearing shorts and running shoes. Captain… Read More »Risk as a Narrative Construct
I had some magical moments in my life. Perhaps the most magical was the summer I went to work wearing shorts and running shoes. Captain… Read More »Risk as a Narrative Construct
The wealth management industry is facing a wave of digital disruption. Developments in finance, science and technology have led to a new generation of financial… Read More »Robo-Advisers and the Future of Financial Advice
Anyone who has followed that last few presidential elections has seen how easily data can go from a hero to a zero. Nate Silver was… Read More »A Data Professional's Role as an Educator
Christmas is an odd but challenging of time of the year, especially for the nerdiest of us. The number of problems to solve are never… Read More »(Mild Humor) Notes by an OCD Data Scientist about Christmas
This post is the second part of the multi-part series on how to build a search engine – How to build a search engine – Part 1: Installing… Read More »How to build a search engine – Part 2: Configuring elasticsearch
Training modern deepnets can take an inordinate amount of time even with the best GPU hardware available. Inception-3 on ImageNet 1000 using 8 NVIDIA Tesla… Read More »Distillation of Deepnets
At Grakn Labs we love technology. Here is our December 15th edition by Filipe Pinto Teixeira, where he looked back at Predictive Analytics. ***** Today’s techie… Read More »An Intro to Predictive Analytics: Can I predict the future?
This announcement was published by the American Statistical Association. The Park City Math Institute (PCMI) 2016 Summer Undergraduate Faculty Program met for the purpose of… Read More »Curriculum Guidelines for Undergraduate Programs in Data Science
NIPS2016 (Neural Information Processing System) is an annual event that attracts the best and the brightest of the field of Machine Learning both from academia as… Read More »Generative Adversarial Networks (GANs) Explained in Layman Terms
1. Introduction Most tasks in Machine Learning can be reduced to classification tasks. For example, we have a medical dataset and we want to classify… Read More »The Perceptron Algorithm explained with Python code