Advanced Data Science: Cutting-Edge Algorithms and Practical Implementations in the Big Data Age

EasyChair Preprint no. 12013

Abstract

In the contemporary landscape of data science, the convergence of advanced algorithms and the proliferation of big data has revolutionized the way we perceive and utilize information. "Advanced Data Science: Cutting-edge Algorithms and Practical Implementations in the Big Data Age" offers a comprehensive exploration of this paradigm shift, delving into the intricate interplay between sophisticated algorithms and their real-world applications in the era of big data. This book provides insights into the latest advancements in data science techniques, from machine learning algorithms to deep learning architectures, and elucidates their practical implementations across diverse domains such as healthcare, finance, and e-commerce. Through a blend of theoretical foundations and hands-on examples, readers will gain a deeper understanding of how these cuttingedge algorithms are reshaping industries and driving innovation in the age of big data.

Keyphrases: Advanced Algorithms, Big Data, Data Science, deep learning, e-commerce, Finance, Healthcare, Innovation, machine learning, practical implementations, real-world applications

@Booklet{EasyChair:12013,
  author = {Haney Zaki},
  title = {Advanced Data Science: Cutting-Edge Algorithms and Practical Implementations in the Big Data Age},
  howpublished = {EasyChair Preprint no. 12013},

  year = {EasyChair, 2024}}