According to the World Health Organization, in 1980, 108 million people worldwide had diabetes and 422 million in 2014. It’s estimated that 700 million adults will have diabetes by 2045. Diabetes is a chronic illness where the blood sugar from someone’s body is too high. In the long term, it can cause serious complications like heart disease, kidney disease, blindness or the need for an amputation.
Readmission of patients is a metric that correlates to increased mortality risk, so yes the more readmission to the hospital the more likely that patient’s chances of death. Not only is readmission a problem…
While I was diving deeper into machine learning, I came across a dataset for breast cancer and I thought it would be interesting if I could use machine learning to predict whether a given cell nucleus is malignant or benign (cancerous or non-cancerous).
The dataset comes from the University of California Irvine ML repository, you can access it here. It contains 13 features, you can find a description of the features at the link under the dataset description section. Before we do anything with the data, we need to do some data exploration. We can do this by using pandas…
Being someone who listens to A LOT of music, I got curious as to how AI can manipulate a song. Not only that but, how would AI actually process the data of sound.
And that brought me here. Imagine a computer being able to understand how sound works to a point where it can not only tell the difference between genres. However, it’s able to change the genre of any song you give it to a genre you specify.
Big players in the field have mind-blowing projects where they do similar things. Here are some examples:
AI + Software Engineering