Performing analytics at the edge is needed in today’s distributed landscape. Edge Computing allows the flexibility of virtualized computation, network and storage resou...
The history of F1 motor racing and the use of telemetry as a way to monitor car setup and performance dates back to the 80s. The first electronic systems were installed o...
There’s no doubt about it, probability and statistics is an enormous field, encompassing topics from the familiar (like the average) to the complex (regression anal...
Some things are best learned through real-world experience. Machine learning is no different. Getting machine learning right requires evolving your analytics platform to ...
Agriculture has witnessed different innovations and technological developments in the past 100 years. Unlike, traditional farming methods that relied completely on manual...
Summary: Booz Allen just launched a one-stop shop for all manner of pretested DNN models. They’re even guaranteeing price. This makes buying just like picking acc...
Programming languages are a tool for the realization of many powerful data science applications. But, there are so many of them and it has become confusing to choose the ...
This article is by Jorge Castañón, Ph.D., Senior Data Scientist at the IBM Machine Learning Hub. Data visualization plays two key roles: 1. Communicating results clea...
Knowledge workers typically a) get information b) perform logic on that information and c) finally reach a conclusion and can take action. The time to just clean and prep...
This list of lists contains books, notebooks, presentations, cheat sheets, and tutorials covering all aspects of data science, machine learning, deep learning, statistics...