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Doing Data Science: Straight Talk from the Frontline

Amazon.com Price:  $32.16 (as of 05/05/2019 14:14 PST- Details)

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Description

Now that persons are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how are you able to get set to work in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, in response to Columbia University’s Introduction to Data Science class, tells you what you want to understand.

In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. Should you’re conversant in linear algebra, probability, and statistics, and have programming experience, this book is a perfect introduction to data science.

Topics include:

  • Statistical inference, exploratory data analysis, and the data science process
  • Algorithms
  • Spam filters, Naive Bayes, and data wrangling
  • Logistic regression
  • Financial modeling
  • Recommendation engines and causality
  • Data visualization
  • Social networks and data journalism
  • Data engineering, MapReduce, Pregel, and Hadoop

Doing Data Science is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O’Neil, a senior data scientist at Johnson Research Labs, who attended and blogged in regards to the course.

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