It is important for a small company to differentiate between data scientist and data engineer roles since both roles have separate skill sets and responsibilities throughout an AI project.
David Horvath
Active Learning is a type of machine learning algorithm that actively interacts with its environment to learn from it. It works by selecting the data points that are most useful for training and labeling them, allowing the model to train on fewer labeled data points.
David Horvath
When it comes to the practical implementation of RPA, your company can face many business and technical challenges. That’s why RPA implementation always implies a procuring strategy of automating the processes one by one.
David Horvath
What is the difference between applied research and basic research in AI development? What is the difference between AI strategy and AI execution within a business context? These are questions that many businesses are asking themselves as they begin to invest in artificial intelligence.
David Horvath
Artificial intelligence, or AI, is a term that has been tossed around a lot lately. It seems like every other business is using it in their marketing materials and trying to convince you that they need to use it too. But what is AI, really?
David Horvath
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