So what is data science and why is it so topical? Is it just another fad that will fade away after the hype? We will start with a simple introduction to data science, defining what it is, why it matters, and why it matters now. This chapter will highlight the data science process with guidelines and best practices. It will introduce some of the most commonly used techniques and algorithms in data science. And it will explore ensemble models, a key technology on the cutting edge of data science.
CITATION STYLE
Barga, R., Fontama, V., & Tok, W. H. (2015). Introduction to Data Science. In Predictive Analytics with Microsoft Azure Machine Learning (pp. 3–20). Apress. https://doi.org/10.1007/978-1-4842-1200-4_1
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