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 ...

Overview Kaggle projects provide real-world experience in AI and machine learning.Participants gain practical skills in NLP, computer vision, and predictive mod ...

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 ...

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 ...

Toffel, Michael, and Natalie Epstein. Assessing Prediction Accuracy of Machine Learning Models. Harvard Business School Tutorial 621-706, February 2021. (Click here to access this tutorial.) ...

The hype about machine learning (ML) is warranted. Machine learning is not just making things easier for the companies that are taking advantage of it. It’s also changing the way they do business. For ...

Quality data is at the heart of the success of enterprise artificial intelligence (AI). And accordingly, it remains the main source of challenges for companies that want to apply machine learning (ML) ...

Machine learning has been inducted into various domains for automation and insights. It has helped businesses grow by aiding decision-making based on data. Organizations create and deploy machine ...

As supercomputers become ever more capable in their march toward exascale levels of performance, scientists can run increasingly detailed and accurate simulations to study problems ranging from ...