Taking up where the best-selling A Simple Introduction to Data Science, left off, Lars Nielsen's A Simple Introduction to Data Science, Book 2 expands on elementary concepts introduced in the first volume wh...

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Taking up where the best-selling A Simple Introduction to Data Science, left off, Lars Nielsen's A Simple Introduction to Data Science, Book 2 expands on elementary concepts introduced in the first volume while at the same time embracing several new and key topics.

Coverage includes:

  • The art and practice of introducing data science to the culture of the enterprise
  • Data science ethics and privacy concerns
  • Key concepts in data visualization
  • The role of artificial intelligence, machine learning, and deep learning
  • Data curation and the "tribal knowledge" problem
  • Hadoop, R, and Python
  • Discussion of how the data scientist role will evolve in future


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