What is Machine Learning?
Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on developing systems that learn based on the data they consume. The term "artificial intelligence" refers to systems or machines that mimic human intelligence.
Types of Machine Learning?
- Supervised Machine Learning: The most common are supervised machine learning algorithms. In this model, a data scientist serves as a guide, instructing the algorithm on what conclusions it should reach. In supervised learning, the algorithm is trained by a dataset that has already been labeled and has a predefined output, similar to how a child learns to identify fruits by memorizing them in a picture book.
- Unsupervised Machine Learning: Unsupervised machine learning takes a more independent approach, in which a computer learns to recognize complex processes and patterns without the assistance of a human. Unsupervised machine learning entails training on data that lacks labels or a clearly defined output.
 Oracle, 'What is Machine Learning' (online, 2022) <https://www.oracle.com/ng/artificial-intelligence/machine-learning/what-is-machine-learning/#:~:text=is%20Machine%20Learning%3F-,Machine%20learning%20defined,machines%20that%20mimic%20human%20intelligence.>
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Machine learning as deals to human level understanding and interpreting of things by machines and more scalable , it will take leads in tech sectors soon. I am more interested in ML via python although R is also good choice