In this article, we'll talk about the end-to-end flow of developing machine learning models: where you get training data, how you pick the ML algorithm, what you must address after your model is deployed, and so forth.
The emerging DevOps movement emphasizes development and operations staff working together as early as possible--sharing tools, processes, and practices that smooth the production path. This article is part of a theme issue on DevOps.
Reactive programming is a specification for managing asynchronous streams of data and controlling flow. In this article we overcome the learning curve with a gentle progression of examples.
A process of identifying key customer interactions with the product. A holistic view of envisioning customer’s interactions at various touchpoints through service design tools.
This article introduces neural networks, including descriptions of feed-forward and recurrent neural networks, describing how to build a recurrent neural network that detects anomalies.
InfoQ talked with Immuta’s Andrew Burt and Steve Touw, to better understand the implications and challenges of the EU's Global Data Protection Regulation, which will come into effect in May 2018.
InfoQ spoke with panelists to get perspectives on the current state of the art with microservices, how they are evolving, and to share their experiences, both good a bad, when developing with them.
Based on several decades of experience, we have developed an agile framework for distributed teams. In this article, we describe how our framework helps distributed organizations work smoother. 3
Components are the building blocks of Angular. When we start breaking components apart into smaller components, we need to make sure they're able to pass data back and forth.
Scaling Teams provides strategies and practices for managing teams in fast growing organizations. Explores and gives solutions for hiring, people management, organization, culture and communication.
Reifer’s software sizing survey identifies five commonly used methods for sizing agile projects along with their strengths and weaknesses. Size is being used as the basis of measurement and estimation 2