Embracing the Power of Data Science and Machine Learning: Shaping a Data-Driven Future
Vol. 1 No. 10 (2023), Articles
Vol. 1 No. 10 (2023)

Embracing the Power of Data Science and Machine Learning: Shaping a Data-Driven Future

Articles
Published 2023-10-13
Abdurasulova Oydin Shuhratovna
3rd year student of the Faculty of Applied Mathematics and Intellectual Technologies of the National University of Uzbekistan named after Mirzo Ulugbek, Department of Information Systems and Technologies.
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Keywords

Data Science, Machine Learning, Artificial Intelligence, Data Literacy, Big Data, Internet of Things, Innovation Ecosystem, AI Ethics, Responsible AI Governance, Future of Work, Predictive Analytics, Decision-Making, Digital Transformation, Entrepreneurship, Lifelong Learning, Societal Impact, Interdisciplinary Collaboration, Data-Driven Society, Digital Workforce, Remote Work, Gig Economy, Start-up Ecosystem, Ethical AI, Innovation, Technology Adoption, Cultural Shift, Data-Driven Decision-Making.

How to Cite

Abdurasulova Oydin Shuhratovna. (2023). Embracing the Power of Data Science and Machine Learning: Shaping a Data-Driven Future. "Conference on Universal Science Research 2023", 1(10), 92–95. Retrieved from https://universalpublishings.com/index.php/cusr/article/view/2292
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Abstract

In today's increasingly digital world, the harnessing of data has become paramount, revolutionizing industries, research, education, and societal progress. This paper delves into the critical importance of focusing on Data Science and Machine Learning (DSML) and their transformative impact on various sectors. By enabling data-driven decision-making, fostering innovation, and addressing complex challenges, DSML not only empowers organizations but also holds the key to shaping a future defined by data-driven insights and technological advancement.

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This work is licensed under a Creative Commons Attribution 4.0 International License.