Charting New Territories: the Ongoing Transformation of Machine Learning in Contemporary Technology

EasyChair Preprint no. 11971

Abstract

Machine learning (ML) has been rapidly evolving, transforming various facets of contemporary technology. This paper explores the ongoing advancements in ML techniques and their impact on diverse fields such as healthcare, finance, transportation, and entertainment. We delve into the key trends driving this transformation, including deep learning, reinforcement learning, and transfer learning. Additionally, we discuss the challenges and ethical considerations associated with the widespread adoption of ML technologies. By charting the new territories of ML, we aim to provide insights into its future trajectory and potential implications for society.

Keyphrases: advancements, Challenges, Contemporary, deep learning, Entertainment, ethics, Finance, Healthcare, machine learning, Reinforcement Learning, society, Technology, Transfer Learning, transformation, Transportation

@Booklet{EasyChair:11971,
  author = {Haney Zaki},
  title = {Charting New Territories: the Ongoing Transformation of Machine Learning in Contemporary Technology},
  howpublished = {EasyChair Preprint no. 11971},

  year = {EasyChair, 2024}}