Applied Machine Learning: A practical guide from Novice to Pro by Chigozie AnyasorRequirements: .ePUB reader, 20.8 MBOverview: Many believe that a Machine Learning model, once trained, can act autonomously. This misconception has hindered innovation in ML/AI for far too long. In reality, ML models require integration within a comprehensive system encompassing inputs, processing, and outputs. […]
Applied Machine Learning Using mlr3 in R by Bernd Bischl, Raphael Sonabend, Lars KotthoffRequirements: .PDF reader, 37.0 MBOverview: mlr3 is an award-winning ecosystem of R packages that have been developed to enable state-of-the-art Machine Learning capabilities in R. Applied Machine Learning Using mlr3 in R gives an overview of flexible and robust Machine Learning methods, […]
Applied Machine Learning for Healthcare and Life Sciences Using AWS by Ujjwal RatanRequirements: .ePUB reader, 1 mbOverview: While machine learning is not new, it’s only now that we are beginning to uncover its true potential in the healthcare and life sciences industry. The availability of real-world datasets and access to better compute resources have helped […]
Applied Machine Learning Solutions with Python: Production-ready ML Projects Using Cutting-edge Libraries and Powerful Statistical Techniques (English Edition) by Siddhanta BhattaRequirements: .ePUB, .PDF reader, 16 MBOverview: This book discusses how to apply machine learning to real-world problems by utilizing real-world data. In this book, you will investigate data sources, become acquainted with data pipelines, and […]
Applied Machine Learning with Python by Andrea GiussaniRequirements: .PDF reader, 6 mbOverview: If you are looking for an engaging book, rich in learning features, which will guide you through the field of Machine Learning, this is it. This book is a modern, concise guide of the topic. It focuses on current ensemble and boosting methods, […]