Data Science with ML and AI: A review
Pratibodh - Journal Editor, Tanishk Maheshwari, Bhuvnesh Bhardwaj · PRATIBODH · 2024
Data science, machine learning (ML), and artificial intelligence (AI) have emerged as innovative technologies that play a key role in extracting valuable insights from large amounts of data. This review provides an overview of the integrated field of data science using ML and AI, highlighting its importance, applications, and key components. ML is a subfield of data science that focuses on developing algorithms and models that allow machines to learn from data and improve performance over time without explicit programming. It includes various subfields such as natural language processing, computer vision, and robotics, which contribute to the development of systems that can think, problem solve, and make decisions. As the field evolves, ongoing research and ethical considerations will play a key role in shaping a future where intelligent systems responsibly coexist with human decision makers.