This series will explore various topics and techniques in machine learning, arguably the most talked-about area of technology and computer science over the past several years. We’ll begin, in this article, with an extended “case study” in Python: how can we build a machine learning model to detect credit card fraud?
To improve the performance of a Node.js application that involves IO, you need to understand how your CPU cycles are spent and what is preventing higher degrees of parallelism in your application. In this article, Jorge Bay shares his insights on areas that cause throughput degradation and tips on how to boost performance.
The reactive ideal of the MVC architectural approach was diminished in web applications during the first two decades of the web age. Recent advancements have revitalized the reactive idea of the MVC architecture. In this article, Brent Chen and Victor Chen show how developers can leverage the dWMVC and pWMVC architectural paradigms to create real time reactive application behaviors.
InfoQ has spoken with Chris Eidhof and Drew Crawford to learn more about the importance that runtime programming plays in Objective-C/Cocoa programming and the implications of its lack in Swift.
To meet both consumer demand and expectations, companies must develop for both mobile and web. TJ VanToll shows how to use NativeScript to develop cross platform mobile apps. 1
In this series we explore ways of making sense of data science - understanding where it’s needed and where it’s not, and how to make it an asset for you, from people who’ve been there and done it.
A quick introduction to the machine learning field, exploring both supervised and unsupervised approaches. 2
Testing of uploading files can be tricky, but with the right tools and the knowledge of a few tricks, the process can be more efficient and a lot less difficult.
Progressive web apps is a new concept that bridges the gap between websites and mobile apps. They promise offline capabilities as well as improved speed and performance. 1
Modern User Experience requires an architecture that is able to continuously “react” to its broader environment. Implementing the SAM pattern has taught us much about how to design such a system.