Introduction to Intel's oneAPI Unified Programming Model for Python Machine Learning

The popular Python machine learning toolkit Scikit-learn is a simple yet effective framework for classical machine learning. Scikit-learn is the preferred choice for training models based on linear regression, logistic regression, decision trees, or random forest techniques. Feature engineering -- discovering the right qualities -- and handpicking the correct algorithms associated with the business challenges are both expected in traditional machine learning. For most problems involving structured data stored in relational databases, spreadsheets, or flat files, this is the best technique. Deep learning, on the other hand, is a subset of machine learning that uses enormous datasets and a lot of computing power to find high-level features and hidden patterns in data.