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Exploring the Horizon: Machine Learning's Journey Through the Modern Tech Landscape

EasyChair Preprint no. 11974

9 pagesDate: February 7, 2024


Machine learning has emerged as a transformative force in the modern tech landscape, permeating various industries and domains. This paper explores the journey of machine learning, tracing its evolution from its early beginnings to its current state and future prospects. We delve into the key advancements, challenges, and applications of machine learning, highlighting its impact on areas such as healthcare, finance, autonomous vehicles, and natural language processing. Additionally, we discuss emerging trends and directions, including the rise of deep learning, reinforcement learning, and the integration of machine learning with other technologies such as blockchain and Internet of Things (IoT). By examining the past, present, and future of machine learning, this paper provides insights into its evolving role in shaping the technological landscape.

Keyphrases: Applications, Artificial Intelligence, autonomous vehicles, Blockchain, Challenges, Data Science, deep learning, evolution, Finance, Healthcare, Internet of Things (IoT), machine learning, Natural Language Processing, Reinforcement Learning, Technology, trends

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Haney Zaki},
  title = {Exploring the Horizon: Machine Learning's Journey Through the Modern Tech Landscape},
  howpublished = {EasyChair Preprint no. 11974},

  year = {EasyChair, 2024}}
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