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References and Acknowledgements

Discover a comprehensive list of references and acknowledgements essential for deepening your data science and machine learning knowledge. This lesson guides you to important documentation, tutorials, and expert resources for further study and practical applications.

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Acknowledgements:

  • Numpy Documentation


  • Scikit Learn Documentation


  • TensorFlow Documentation


  • Open GPU Data Science (RAPIDS)


  • MapReduce Tutorial – Fundamentals of MapReduce with MapReduce Example (Edureka)


  • Sampling Techniques by Seema Singh (Towards Data Science)


  • Amazon Whitepapers


  • Data Mining: Concepts and Techniques by Jiawei Han Micheline Kamber Jian Pei


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