INET4710: Data Science II: Big Data Analytics

4 Credits

Scales machine learning models and data analysis to a Big Data platform. Map Reduce and Spark frameworks are introduced as approaches to parallel algorithm development. Hands-on labs. Prerequisites: Basic programming knowledge (Java, Python, R). Linear algebra strongly recommended, especially matrix operations (e.g., MATH 2243, Linear Algebra and Differential Equations)

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A- Average (3.514)Most Common: A (43%)

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122 students
SNWFDCBA
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    /6

    Recommend
  • 5.24

    /6

    Effort
  • 4.77

    /6

    Understanding
  • 4.99

    /6

    Interesting
  • 4.91

    /6

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