Bias Variance Trade Off
Deep Learning is a highly empirical domain which majorly focusses on fine-tuning the various parameters. The choice of these parameters defines the accuracy of the model....
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K-nn Clustering Explained in One Picture
This is a simple overview of the k-NN process. Perhaps the most challenging step is finding a k that’s “just right”. The square root of n can put you i...
Training for Context: The Importance of Word2Vec
We’ve all experienced the great data rush as companies push to use analytics to drive business decisions. After all, the proliferation of data and its intelligent analy...
March Madness, KenPom and Python/Pandas.
March Madness officially arrived at 6 PM CDT, Sunday 3/17/2019. 68 D1 schools — 32 league champions and 36 at large selections — received invitations to this ...
Can we fix Smart City deployments using AI, Cloud and Video?
Introduction I spoke at the iot expo on AI and smart cities in London this week Smart cities have been around for more than a decade The overall numbers for Smart citie...
Determining Sample Size in One Picture
Determining sample sizes is a challenging undertaking. For simplicity, I’ve limited this picture to the one of the most common testing situation: testing for differ...
15 Great Articles about Bayesian Methods and Networks
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlati...
In Digital Transformation, Economies of Learning More Powerful than Economies of Scale
Key topics of this blog: Economies of scalehave historically given large enterprises unsurmountable market advantages through the exploitation of mass production, distrib...
Chatbot – A real game changer in the industry of technologically advanced practices
As of now, chatbots are among the most trending technology for which the industry is excited to get in integrated. They get touted as the next rendition of applications, ...
IMPACT – Part 2: Be a problem solver first, an engineer second.
This is part 2 of a 3 part series: “How to make your mark on the world as a talented, socially conscious data scientist.” You can find part 1 here: “Choose a dom...