In this video, you’ll meet Brad Klingenberg (VP of Data Science at StitchFix) and learn about Machine Learning with humans in the loop and the many lessons Brad and his team have learned. The lessons include: Lesson 0: Humans and machines are a winning combinationLesson 1: You have more than one feedback loopLesson 2: Human selection changes your objective functionLesson 3: Even humans need featur
The first and most important step towards developing a powerful machine learning model is acquiring good data. It doesn’t matter if you’re using a simple logistic regression or the fanciest state-of-the-art neural network to make predictions: If you don’t have rich input, your model will be garbage in, garbage out. This exposes an unfortunate truth that every hopeful, young data scientist has to c
Summary. Most businesses organize for efficient productivity. They do this through specialization. Workers that are highly skilled at narrow tasks can perfect their skill and, when put in an assembly line, produce goods with high efficiency. Data science teams have been built this way, too, with highly specialized tasks assigned to individuals that work together to create new business capabiliti
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