Microsoft Azure’s Anomaly Detector provides out of the box machine learning solutions for time series data. Let’s see how it performs!
We explore a variety of gesture recognition approaches with MediaPipe and Python to develop a multimodal interface.
An introduction to building robust APIs using GraphQL — an open-source data query language and runtime for building scalable Web APIs.
This series details how to set up a framework for live machine learning and computer vision on Windows and Linux devices via MediaPipe.
Jetpack Compose is a game-changing fundamental rethink of Android UI development. Learn to write composable functions in Kotlin to generate (previewable!) UI components.
In part 3 of our simple single-layer neural network TensorFlow series, we attempt to use Recurrent Neural Networks (RNNs) and Long Short-Term Memory Networks (LSTMs) for learning and predicting sequences in a time series.
NestJS is an open-source and scalable framework for building server-side web apps. We’ll discuss the practicalities and pitfalls of using it so you can decide if it’s right for your next project.
In part II of our machine learning Series we explore the use of neural networks with a more specific dataset, imagining our dataset as a time series.
In part 1 of this series we’ll explore the fundamentals of machine learning and step through how a developer can implement AI, neural networks, and more into their projects.