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.
This article provides insights into how our backend developer sometimes leverages throwaway code. Maybe you’ll learn something to apply to your next learning venture.
NestJS is an open-source and scalable framework for building server-side web apps. We’ll discuss NestJS performance, overview, thoughts, and pitfalls.
Accessibility can be difficult to get into, but that’s what we’re here for. This article is packed with introductory knowledge on the subject and will steer you in the right direction for learning more.
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 the midst of COVID-19, we partnered with Kroger to provide a solution for monitoring store occupancy that was effective, quick to implement, and required little to no new equipment.
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.
We’re taking our chatbot a step further, exploring search & slack integration with IBM’s Watson API to create a more intelligent, human-like interface.
We explore creating a chatbot using IBM’s Watson API to onboard new employees and answer their employment and HR-related questions.