Effective data analysis can make all the difference for a company’s efficiency. Advances in machine learning (ML) have helped data scientists harness the power of artificial intelligence (AI) and take their analysis to the next level. Brian D’Alessandro, head of data science for Instagram’s Well-Being and Integrity teams and author of Cornell’s , has 20 years of experience in ML model construction. D’Alessandro spoke to the eCornell team about the certificate, ML instructional approaches and career paths.
What can students expect in the program?
“Even when students have learned how to build a model, I would argue that they haven’t learned to build a good model yet. There’s an empirical process required in tuning model parameters such that you get the prediction quality that you’re looking for. So, in this certificate, we ensure students learn how to build a strong, basic model . . . how to tune it and validate it, and then we start to introduce more complex algorithms that are more often used in industry settings. We cover K-nearest neighbors, decision trees and linear models – the full spectrum. Throughout the program, we emphasize the consistency of the API across different machine learning algorithms.”
