Machine Learning Metrics: How to Evaluate a Model?
After developing a Machine Learning model, evaluating its performance is crucial to assessing its effectiveness. To objectively compare multiple models, the use of metrics is
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After developing a Machine Learning model, evaluating its performance is crucial to assessing its effectiveness. To objectively compare multiple models, the use of metrics is
Healthcare Data Analytics is the analysis of health data produced by the medical sector, driving substantial improvements in care and clinical outcomes. Learn everything you
Better understand your customer, optimize your inventory, improve marketing campaigns, boost sales performance, … Data provides a definitive competitive edge to businesses. However, they must
Getting started in data science inevitably means embarking on projects that can take a long time. As with any project, you need to know how
This is the second part of a series Part 1 here Motivation The previous article discusses the complexities of the machine learning life cycle and
In business, redundant, day-to-day tasks are known as superfluous tasks. These tasks, which do not require any particular skills, can be detrimental to the productivity
An essential concept in mathematics, the Sigmoid function applies perfectly to neural networks. Find out more about this function, its different phases and applications. What
PyTorch Lightning is the new framework for large-scale Deep Learning. Discover the ins and outs of this tool below. What is PyTorch Lightning? In order
The open-source framework of the leading Big Data platform, Hadoop, is ideal for storing and processing massive quantities of data. However, when it comes to
On February 23, 2021, Alexandre Laloo, data product manager at sennder, presented a webinar to our community about using data in startups. Webinar replay Alexandre
In marketing, knowing your audience, where they come from and what their habits are, is a key step in generating quality leads. But with so
“Knowledge is power! “And in the age of Big Data, organizations have unprecedented knowledge potential. But to develop their power (or rather, their performance), they