Machine Learning and Data Science: Foundations, Concepts, Algorithms, and Tools

TL;DR

This paper provides an overview of machine learning and data science, emphasizing their foundational concepts, algorithms, and tools essential for extracting insights from data across industries.

Contribution

It offers a comprehensive summary of core principles, methods, and tools in machine learning and data science, serving as a foundational reference.

Findings

Data science is crucial for business insights.

Data analysts and scientists process raw data.

Ubiquity of data-driven decision making.

Abstract

Today, data is a fuel for businesses to gain important insights and improve their performance. There is no industry in the world today that does not use data. But who will get this insight? Who processes all the raw data? Everything is done by a data analyst or a data scientist.