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Python has emerged as the leading language for machine learning development for several reasons: its ease of use, wide availability of libraries, and strong community support. In this blog post, we will discuss the benefits of using Python in machine learning projects.
David Horvath
Anomaly detection is the identification of items, events, or observations that do not conform to an expected pattern or other items in a dataset.
David Horvath
There is a lot of confusion surrounding the role of a machine learning engineer and data scientist. Some people think they are one and the same, while others believe they are in completely different positions. So, what is the difference?
David Horvath
Anyone running a business wants to predict its future. Though it is not possible exactly to some extent, you can get an estimation because business comes with uncertainty and risks that can not be avoided but can be minimized using Predictive Forecasting.
David Horvath
Forecasting is the process of predicting future events. This can be done through a variety of methods, but machine learning is becoming increasingly popular for forecasting due to its accuracy and ability to account for changes in data.
David Horvath
What is data augmentation, how does it work, and what are its most prominent use cases? Learn everything you need to know about data augmentation techniques for computer vision and start training your AI models.
David Horvath
Every single service is independently deployable, scalable, and maintainable. Also, in comparison with the monolithic approach microservice architecture offers faster deployment times as developers only need to update an individual component when making changes.
David Horvath
The question is, why are microservices so helpful to modern enterprises? What benefits do corporations receive from using this architectural style? In this article, we provide an in-depth exploration of seven key benefits of microservices.
David Horvath