Our great sponsors
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Prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
ML is stats. It boils down to which field you want to work in - if you want to work with structured or unstructured data. A masters in ML would come in handy if you want to work with startups/small companies on unstructured data (text, images etc.). Most large companies employ stats based methods to predict future trends (time series data: ARIMA, prophet (like in Zillow) etc.), perform A/B testing etc. so they prefer that you have quant skills. You can look at the job requirements for a Data Scientist at Google here and their interview questions here. FAANG recruits PhDs as research scientists for their ML work using unstructured data.