Articles

  How to know which AI/ ML algorithm to apply to which business problem? This is a common question I found a good reference for… Read More »Rule of thumb: Which AI / ML algorithms to apply to business problems

Both R and Python-Pandas are array-oriented platforms that support fast filtering through vectors of record-id’s. In Python-Pandas, such vectors are implemented via Pandas’s powerful index… Read More »Using "record id's" to facilitate processing in Python-Pandas and R-data.table.

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.… Read More »Sports Telemetry in Real-Time

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 analysis,… Read More »Statistics for Data Science in One Picture

Agriculture has witnessed different innovations and technological developments in the past 100 years. Unlike, traditional farming methods that relied completely on manual labor, modern agriculture… Read More »5 Unparalleled Advantages Offered by IoT to Farming Business:

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… Read More »It’s Official – Our DNN Models are Now Commodity Software

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… Read More »Data science for managers: Programming languages

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 clearly to… Read More »10 Visualizations Every Data Scientist Should Know

This list of lists contains books, notebooks, presentations, cheat sheets, and tutorials covering all aspects of data science, machine learning, deep learning, statistics, math, and… Read More »40+ Modern Tutorials Covering All Aspects of Machine Learning