Chapter 4. Machine Learning Tools, Libraries, and Frameworks
In the previous chapter, we covered the Machine learning solution architecture and the implementation aspects of a technology platform—Hadoop. In this chapter, we will look at some of the highly adopted and upcoming Machine learning tools, libraries, and frameworks. This chapter is a primer for the following chapters as it covers how to implement a specific Machine learning algorithm using out-of-box functions of an identified Machine learning framework.
We will first cover the landscape of open source and commercial Machine learning libraries or tools that are available in the market, and pick the top five open source options. For each of the identified options, starting from installation steps, learning the syntax, implementing a complex Machine learning algorithm, to plotting graphs, we will cover it all. This chapter is mandatory for the readers in the order of occurrence as it is a foundation for all the example...
