From episode 3, you learned the data considerations that come into play when making the best possible forward looking predictions. Velocity, variety, volume, and quality — all of these factors come into play when analyzing data sources and compiling learnings for the future.
In episode 4, Data Scientist Manny B. uses a simplistic scenario to illustrate the role machine learning plays in the data science workflow. Imagine you are a fleet manager responsible for a number of delivery trucks. Machine learning algorithms can help predict whether a delivery will be successful, in real time.
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-https://www.uptake.com/
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