Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

Hands-on experience is the most direct way to get better at programming. Watching videos or reading tutorials only gets you ...

Overview Beginner-friendly books simplify Python, R, statistics, and machine learning concepts.Practical examples and ...

Machine learning is a popular topic in data analysis and modeling. Many different machine learning algorithms have been developed and implemented in a variety of programming languages over the past 20 ...

In 2025, the integration of AI and Python will become increasingly tight. OpenAI's free inference model, o3 - mini, has excelled in areas such as mathematical code generation and physical simulation.

Probabilistic programming has emerged as a powerful paradigm that integrates uncertainty directly into computational models. By embedding probabilistic constructs into conventional programming ...

Dynamic programming (DP) algorithms have become indispensable in computational biology, addressing problems that range from sequence alignment and phylogenetic inference to RNA secondary structure ...