Global Data has a dedicated team that’s responsible for delivering the best client experience, regardless of their chosen language. Spread around the globe, the Localization team supports internal and external clients, exercising the necessary flexibility to tailor content based local language needs. The team also develops applications to enhance workflow improvements in translation.
This 30-session, graduate-level course covers a wide variety of topics in machine learning and statistical modeling. Its purpose is to help make valuable machine learning skills more accessible to people with a strong math background, including experienced software developers, experimental scientists, engineers and financial professionals. Participants will gain a deep understanding of the concepts, techniques and mathematical frameworks used by experts in machine learning. Successful completion of this course will deepen the course-taker’s ability to tackle the most compelling data science problems in business and society. It is taught by David Rosenberg, a data scientist in the data science group in Office of the CTO at Bloomberg (and a top-rated instructor at NYU's Center for Data Science).