Machine Learning for Premature Death Prediction, Data Science Basics and More
This week’s roundup focuses on an important development in the healthcare sector –new ML algorithms may predict the risk of premature death with high accuracy. We move on to explain some fundamental concepts in the data science field and also talk about key skills required by data scientists.
Machine Learning Can Predict Premature Death
A group of researchers at the University of Nottingham has designed a sophisticated machine learning system that investigates mortality risks and can even predict untimely death. Analyzing a large number of demographic, clinical and lifestyle aspects of patients, these advanced machine-learned algorithms are capable of calculating the chances of early death. This ground-breaking discovery can bring about many improvements in the field of preventive healthcare. Moreover it has high accuracy and better quantitative power compared to traditional prediction models. Read more.
Understanding the Basics of Data Science Field
Data science has become a buzzword in the 21st century. Data is driving all industries around the world, big or small. But do you know what data science essentially means and why it has become such an important asset for companies? Though business intelligence and data science both revolve around data, data science is way more complex. Finally, if you want to be an in-demand data science professional, you need a proper skill set. Learn more in this video.
Object-Oriented Programming for Data Scientists
There are many advantages of Object-Oriented Programming (OOP), such as effective problem-solving and reusability of codes. Still, OOP isn’t always the best choice for data scientists. In data science, functional programming is the number one choice because of its superior performance. Read more.
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