I’m Nikolay Milya, a Senior Full-Stack Developer at Sphere Partners. In this article, I am going to explain how to build a pipeline to automate the ML training process. The machine learning process from my perspective depends on two parts. The first one is how we train the model and how we receive the
With the massive increase in work being done with distributed global teams often working from home, the opportunity for companies still using legacy ERP systems, is that there’s no better time like the present to continue to move your ERP to the cloud.
Our own Anton Kazakov walks us through a machine learning tutorial project using LabelBinarize and Keras. The goal of the project was to get familiar with model training, data preparation and predict phase.
With remote working now the norm amidst the pandemic, seamless real-time video communication is now an essential feature for business and corporate apps to stay competitive. Luckily, developers don't need to build video functionalities from scratch. There are various video platform APIs that app and software makers can leverage, from leading names like Zoom to
This post will cover examples of ETL frameworks, which are the easiest and most comprehensive way to approach ETL in Python.
Serverless computing lets the developer focus on what’s most important - development - and not have to worry about the underlying details of infrastructure and maintenance. Other benefits such as autoscaling, pay-as-you-go and on-demand provisioning make this a no-brainer if you are building stateless HTTP applications, web and mobile apps, IoT and sensor apps, data
There’s no doubt about it - AR and VR are the hottest technologies right now, next to AI. As the COVID-19 pandemic restricts in-person interaction, more and more people see the benefits of AR/VR in their everyday life. So, what does the future of AR/VR look like? From augmented retail shopping to virtual travel,
An understanding of data maturity can guide a company's transformation from being clueless about data to taking advantage of its full potential. In this post we compare different approaches to data maturity.
Python is currently the hottest programming language but could Rust replace Python for high performance projects? In this post we examine pros and cons of both programming languages.
Innovation Engineering is a framework for engineering solutions with innovation and emerging new technologies. In this post we uncover what Innovation Engineering means and how to start thinking in this way.