Applied Data Science

“Applied Data Science” delves into the practical application of data science techniques in real-world scenarios. The content covers topics such as building machine learning models, data augmentation for improved model performance, and the integration of AI technologies like Generative AI into enterprise systems. It emphasizes the importance of understanding and utilizing big data effectively, highlighting the need for responsive and intelligent data processing. The document explores the challenges faced by engineering teams when working with dynamic data sources and provides insights into architecting robust systems that can handle complex data interactions.