Machine learning is a branch of artificial intelligence that deals with predictive modeling and analysis based on historical data. In simple terms, it uses complex mathematical algorithms to ...

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 ...

See How It Works for details. We are excited to inform you the current Machine Learning: Theory and Hands-On Practice with Python Specialization (taught by Professor Geena Kim) is being retired and ...

Have a question about the program or learning online at Purdue? Check out the FAQs for more information. Get your career started by working in one of the following roles: Data Scientist, Software ...

Explore machine learning techniques to optimise your data analyses for informed business decision ... unsupervised learning, and an introduction to neural networks. Over the course of eight weeks, you ...

Learn More Almost anyone can poison a machine learning (ML) dataset to alter its ... would otherwise use to undo the damage that poisoned data sources caused. What is data poisoning and why ...

What is data cleaning in machine learning? Data cleaning in machine learning (ML) is an indispensable process that significantly influences the accuracy and reliability of predictive models.

MLDS-413 teaches data engineering skills that are essential for “data science” practitioners, in particular, how to model, organize, store, and analyze data in modern relational database management ...

As web applications become more sophisticated to meet our daily needs, such as shopping and communication, they also become more vulnerable to data breaches. In 2024, web applications were the ...

Students will pursue an applied or computational track and will gain competency in fundamental methods and techniques in artificial intelligence and machine learning. Their foundational understanding ...