BIG DATA ANALYTICS TECHNIQUES IN AI AND MACHINE LEARNING
'Big Data Analytics Techniques in AI and Machine Learning' is a comprehensive exploration of the synergy between artificial intelligence, machine learning, and big data analytics. This book delves into the cutting-edge methods used to extract valuable insights from massive datasets, covering a wide range of techniques including supervised and unsupervised learning algorithms, deep learning neural networks, natural language processing, and computer vision. It examines how these AI-driven approaches can be applied to various aspects of big data analytics, from data preprocessing and feature engineering to real-time predictions and anomaly detection. The text also addresses the challenges and considerations in implementing these technologies, such as scalability, parallel processing, and the importance of data-driven decision-making in modern organizations