The evolution of data science (although not always called that) started in late 1890 with the advent of tabulating machines. Which of the following paths best depict its trajectory and evolution over the years? Select one: a. The ability to crawl the Internet sites and potentially retrieve data from the wild b. The use of regression in data science c. Moving from supporting statistical analysis to machine learning approaches d. The infusion of domain expertise Business understanding is the first part of your analytics journey. Which of the following come to mind when you are planning your business approach? Select one or more: a. Perform demand planning and supply chain optimization for your offerings across different segments b. Reduce costs c. Decide which deep learning model will best suit your needs d. Gather more data Data scientists are always challenged in capturing the value of data. Which of the following best describes their struggles and challenges? Select one: a. Data resides in silos and is difficult to access. b. An environment that enables a "fail fast" approach is needed. c. Unstructured and external data wasn't always considered. d. All of the above
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The evolution of data science started in the late 1890s with the advent of tabulating machines. The best path that depicts its trajectory and evolution over the years is: c. Moving from supporting statistical analysis to machine learning approaches Show more…
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