Microsoft researchers published a paper on low-code large language models (LLMs) that could be used for machine learning projects such ... for example, the generated workflow flowchart could include ...

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization by rapidly predicting molecular interactions and properties. For instance, ...

Figure 1: Four stages of traditional machine learning workflow [5], (a) preprocessing data, (b) identifying features, (c) developing a model and (d) evaluating results. In my personal opinion ...

Data analytics and machine learning drive smarter business decisions, greater operational efficiency, and higher levels of customer satisfaction. Streamlining the data science workflow is ...

There are some important requirements in order to move machine learning workflows to this stage, as per Huyen. The first one is a mature streaming infrastructure with an efficient stream ...