Basic data science techniques, from import to cleaning to visualizing and modeling, using the R language. Machine learning methods include regression, classification and clustering algorithms.

Abstract: The domain of Green Software Engineering (GSE) is hindered by the “complex proxy hypothesis,” which posits an unreliable, non-linear relationship between execution time and energy ...

In conversations about data strategy, many organizations assume the solution for a better customer experience is to collect more data. New data sources, new tools and now AI models promise deeper ...

Abstract: Sparse data structures like hash tables, trees, or compressed tensors are ubiquitous, but operations on these structures are expensive and inefficient on current systems. Prior work has ...

Artificial intelligence is rapidly changing the job market, automating jobs across industries. Therefore, in such a scenario, upskilling oneself in industry-relevant AI skills becomes even more ...

Smart people and companies fall into a common trap when it comes to AI: the false belief that adding a layer of AI on top of their current processes will hide rather than reveal a multitude of past ...

In this Python for beginners tutorial, you will learn the essentials for data analysis. The tutorial covers how to install Python using Anaconda and set up Jupyter Notebook as your code editor. You ...

So, you’re looking to learn Python, huh? It’s a pretty popular language, and for good reason. It’s used for all sorts of things, from making websites to crunching numbers. Finding the right book can ...

I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen Best laptop cooling pads Best flip ...