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Inside this Book – What is data science? Like any emerging field, it hasn’t been completely defined yet, but you know enough about it to be interested or else you wouldn’t be reading this book. I think of data science as lying at the intersection of computer science, statistics, and substantive application domains. From computer science comes machine learning and high-performance computing technologies for dealing with scale. From statistics comes a long tradition of exploratory data analysis, significance testing, and visualization. From application domains in business and the sciences comes challenges worthy of battle, and evaluation standards to assess when they have been adequately conquered.
Inside this book –The Data Science Design Manual PDF Book by Steven S Skiena – Most data scientists spend much of their time cleaning and formatting data. The rest spend most of their time complaining that there is no data available to do what they want to do. In this chapter, we will work through some of the basic mechanics of computing with data. Not the highfaluting stuff like statistics or machine learning, but the grunt work of finding data and cleaning it that goes under the moniker of data munging. While practical questions like “What is the best library or programming language available?” are clearly important, the answers change so rapidly that a book like this one is the wrong place to address them. So I will stick at the level of general principles, instead of shaping this book around a particular set of software tools. Still, we will discuss the landscape of available resources in this chapter: why they exist, what they do, and how best to use them. The first step in any data science project is getting your hands on the right data. But this is often distressingly hard. This chapter will survey the richest hunting grounds for data resources, and then introduce techniques for cleaning what you kill. Wrangling your data so you that can safely analyze it is critical for meaningful results. As Babbage himself might have said more concisely, “garbage in, garbage out.
The Data Science Design Manual by Steven S Skiena PDF : eBook Information
- Full Book Name – The Data Science Design Manual
- Author of this Book – Steven S Skiena
- Language – English
- Book Genre – Computer Science
- Download Format – PDF
- Size – 19 MB
- eBook Pages – 453
- Price – Free