Effective data analysis can make a huge difference to a company's efficiency. Advances in machine learning (ML) have enabled data scientists to harness the power of artificial intelligence (AI) and take their analytics to the next level. Brian D'Alessandro, head of data science on Instagram's Well-Being and Integrity team and author of Cornell University's Applied Machine Learning and AI Certification Program, has 20 years of experience in building ML models. D'Alessandro spoke with the eCornell team about the certificate, ML's teaching approach, and career paths.
What can students expect from the program?
“I would argue that even if students learn how to build models, they still haven't learned how to build good models. Tuning model parameters to get the predictive quality you're looking for requires experience. This certificate therefore ensures that students learn how to build a strong basic model, how to tune and validate it, and then use it more frequently in an industry environment. , we begin to introduce more complex algorithms: K-Nearest Neighbors, decision trees, and a full range of linear models.Throughout the program, we emphasize API consistency across different machine learning algorithms.”
Read the full story on the eCornell blog.
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