Building an Effective Data Science Practice: A Framework to Bootstrap and Manage a Successful Data Science Practice

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022

V. Raina, S. KrishnamurthyBuilding an Effective Data Science Practicehttps://doi.org/10.1007/978-1-4842-7419-4_16

16. Machine Learning

Vineet Raina¹   and Srinath Krishnamurthy¹

(1)

Pune, India

 

Machine learning, as we have seen, is at the heart of the data science process as it is in this step that the actual models are built. This chapter is dedicated to the ML algorithms/techniques you can use to build models and libraries that implement these algorithms. Awareness of different ML algorithms and an intuitive understanding of the underlying concepts is crucial for the success of the entire data science process. We will start with a general categorization of ...