Beginners should undertake data science projects as they provide practical experience and help in the application of theoretical concepts learned in courses, building a portfolio and enhancing skills.

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 ...

Sean Cusack has been a backyard beekeeper for 10 years and a tinkerer for longer. That’s how he and an entomologist friend got talking about building an early warning system to alert hive owners to ...

• UPS saves 10 million gallons of fuel and $50 million each year because of their algorithm-powered Orion (on-road integrated optimization and navigation) platform. With their dynamic parceling ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Who is the Master's in Artificial Intelligence and Machine Learning program for? Drexel’s College of Computing & Informatics' Master of Science in Artificial Intelligence and Machine Learning (MSAIML) ...