With people becoming more aware of the data economy, demand for privacy-preserving machine learning solutions and tools like federated learning is on the rise.
Artificial Intelligence and Software Engineering are the two fields of Computer sciences but are they really similar or very different? Let's explore this.
The performance of a machine learning model is first assessed based on its success rate. Then about the compatibility of this rate with business objectives.
Learn how to control OAuth in a load-balanced application. This post shows how to manage sessions for a simple load-balanced application that uses OAuth 2.0.
Machine Learning isn't just meant for big machines with lots of GPUs. What if you can execute ML models on your phone! And with React Native it's not all that hard!
There aren’t many companies talking about AI computer build-essentials. It is exactly why we have compiled a list of important components for AI computers.
As the media industry joins others by adopting AI to improve user experience, many developers are facing new challenges and higher stakes on the backend.
This blog post explores why a single real-time pipeline, called Kappa architecture, is the better fit and the role of batch processing in it without requiring Lambda.
Data fabric is a viable strategy to help overcome the barriers that previously made it hard to access data and process it in a distributed data environment.