Python has become the most popular data science and machine learning programming language. But in order to obtain effective data and results, it’s important that you have a basic understanding of how ...

With machine learning (ML) at the heart of much of modern computing, the interesting question is: How do machines learn? There’s a lot of deep computer science in machine learning, producing models ...

Use modern machine learning tools and python libraries. Explain how to deal with linearly-inseparable data. Compare logistic regression’s strengths and weaknesses. Explain what decision tree is & how ...

Using a previously published data set—comprised of 1,936 E. coli strains from patients that were tested against 12 antibiotics—the students developed a step-by-step tutorial for four different popular ...

The first step to a successful ML project is to understand that these projects require different processes, terminology, workflows, and tools than those needed by traditional development. Written by ...

For many surgeons, the possibility of going back into the operating room to review the actions they carried out on a patient could provide invaluable medical insights. Using a mix of PyTorch, a ...

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Most people are familiar with the idea that machine learning can be used to detect things like objects or people, but for anyone who’s not clear on how that process actually works should check out ...

The list of mind-numbing SEO tasks that can be automated continues to grow and I’m eager to see more automation applications shared in the community. Let’s get you involved! Given the positive ...