Data Science Solutions with Python: Fast and Scalable Models Using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn

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

T. C. NokeriData Science Solutions with Pythonhttps://doi.org/10.1007/978-1-4842-7762-1_1

1. Exploring Machine Learning

Tshepo Chris Nokeri¹  

(1)

Pretoria, South Africa

 

This chapter introduces the best machine learning methods and specifies the main differences between supervised and unsupervised machine learning. It also discusses various applications of both.

Machine learning has been around for a long time; however, it has recently gained widespread recognition. This is because of the increased computational power of modern computer systems and the ease of access to open source platforms and frameworks. Machine learning involves inducing computer systems ...