Look What You Made Me Analyze

Use Machine Learning to break down T-Swift — all you're ever gonna need's k-means. Essential news, trends, and stories from Codecademy and the world of code. Newsletter #56 September 20, 2018 Essential news, trends, and stories from Codecademy and the world of code. As the title of her fifth studio album suggests, Taylor Swift was born in 1989. In the years since, she's had one of the most successful music careers ever, winning every trophy, plaque, and Moonman there is to win. Another post-1989 (and post-1989) development: Machine Learning has entered the mainstream. That's why we released a new Pro Intensive that will give you hands-on experience with it. To celebrate Machine Learning Fundamentals, we used ML to answer some of the most pressing questions about T-Swift's storied career, such as: When was she writing lyrics most focused on growing up? Which of her albums have the biggest emphasis on heartbreak? Did Beyoncé really have one of the best videos of all time? Ok, maybe not that last one, but there's only one way to know for sure. In Other News Don't Get Voted Off the Island We also used natural language processing to analyze contestants' confessionals on Survivor, breaking down the storylines and alliances that have defined the show. Neural Networks Explained Neural networks are a set of algorithms that are essential to the Machine Learning field, so we surveyed their history to explain how they became prevalent and how they're being deployed today. Learn Machine Learning In Machine Learning Fundamentals, you'll learn to apply many of the techniques from these articles. Afterward, you might answer that Beyoncé question yourself. Connect with Us Codecademy 575 Broadway, New York, NY 10012 Unsubscribe from these alerts.