Data rarely comes in usable form. Data wrangling and exploratory data analysis are the difference between a good data science model and garbage in, garbage out. Novice data scientists sometimes ...

Significant breakthroughs in the capabilities of machine learning (ML ... in automated medical image analysis. ML-based methods are increasingly being used to extract data from diverse imaging ...

The Exploratory Data Analysis group, led by Associate Professor Kai Puolamäki ... We work at the intersection of computer science and natural sciences. We study and develop machine learning models of ...

In the study conducted at the University of Helsinki, microscopic images of MDS patients' bone marrow samples were examined utilising an image analysis technique based on machine learning.

In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners ... This aspect is crucial for both exploratory data analysis (EDA) and ...

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By using robotics to prepare thousands of samples and artificial intelligence to analyze their data ... in their analysis. With additional images, the accuracy of their machine learning program ...