This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, ...
Yann LeCun, Leon Bottou, Yosuha Bengio and Patrick Haffner proposed a neural network architecture for handwritten and machine-printed character recognition in 1990’s wh...
Data visualization is a general term that describes any effort to help people understand the significance of data by placing it in a visual context. Patterns, trends and ...
Summary: Advanced analytics and AI are the fourth great lever available to create organic improvement in corporations. We’ll describe why this one is different from...
In this post, we explore some broad guidelines for selecting machine learning models The overall steps for Machine Learning/Deep Learning are: Collect data Check...
Convolutional neural network – In this article, we will explore our intuitive explanation of convolutional neural networks (CNNs) on high level. CNN are inspired by th...
Something I learned during my graduate studies is that jails – like the old Don Jail as it once existed in Toronto (photographed by me above) – has special significan...
It’s been said that Data Scientist is the “sexiest job title of the 21st century.” This is because of one main reason that there is a humongous amount of data ...
Who wants to hear a story about data?! …(silence)… Understandably, not a lot of people would raise their hands to an intro like that. For me, however, data ha...
The opportunity to watch and coach the University of San Francisco (USF) students during our annual Hackathon with our friends at Good Dataprobably taught me as much as i...