LGFeb 3, 2022

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

arXiv:2202.05163v2
Originality Synthesis-oriented
AI Analysis

This is an incremental overview of the importance of data science and machine learning for businesses, without tackling a new problem.

The paper addresses the foundational role of data in modern industries and the need for data analysts and scientists to process raw data for insights, but does not present a specific problem or result with concrete numbers.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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