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The course is taught by David Rosenberg, a data scientist in the Office of the CTO at Bloomberg; he’s also an instructor at NYU’s Center for Data Science. “In doing this, our goal 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,” read a new Bloomberg blog posting about the program...
Actual lessons include an introduction to statistical learning theory, an examination of stochastic gradient descent and excess risk decomposition, and loss functions for regression and classification. Clearly this is not a course for total newbies, or those who panic when they read terms such as “convex optimization” and “Langrangian duality.” In addition to video, lessons come with slides, notes, concept checks, and references. Here’s the first one in the series:
Black Box Machine Learning
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Source: Dice Insights and Inside Bloomberg Channel (YouTube)