Tshepo Chris Nokeri Livres

This guide focuses on developing and deploying interactive dashboards as web applications using Python. It covers the integration of algorithms into these web apps, providing practical insights and techniques for creating dynamic visualizations. Ideal for those looking to enhance their programming skills, the book offers a hands-on approach to building functional web-based dashboards.

Focusing on practical data science techniques, this book covers essential topics like data engineering, visualization, statistical modeling, machine learning, and deep learning. It guides readers through selecting variables, optimizing hyperparameters, and developing pipelines, while also providing methods for training, testing, and validating models. Each chapter features examples to clarify the concepts, assumptions, and procedures involved, making complex topics accessible and applicable for learners at all levels.

Focusing on the intersection of artificial intelligence and healthcare, this book equips professionals with tools to tackle challenges in medical sciences and psychology. It covers essential machine learning methods, computer vision, and natural language processing (NLP) techniques, providing practical insights for healthcare professionals and technologists looking to innovate and improve patient care through technology.

Focusing on the intersection of machine learning and deep learning in financial trading, this book explores systematic methods for investment portfolio management, risk analysis, and performance evaluation. It highlights the use of predictive analytics through data science techniques to enhance investment strategies, making it a valuable resource for those interested in modern investment management practices.