Machine Learning Projects for .NET Developers shows you how to build smarter .NET applications that learn from data, using simple algorithms and techniques that can be applied to a wide range of real-world problems. You’ll code each project in the familiar setting of Visual Studio, while the machine learning logic uses F#, a...

Continuing advances in biomedical research and statistical methods call for a constant stream of updated, cohesive accounts of new developments so that the methodologies can be properly implemented in the biomedical field. Responding to this need, Computational Methods in Biomedical Research explores important current and emerging...

The chiral analysis of environmental pollutants is a fairly recent development and attracts scientists needing to investigate the toxicity of enantiomers. For example, approximately 250f agrochemicals are chiral in nature, including pesticides that are applied as their racemates in agricultural and forestry activities. To predict the exact...

• Explore the different types of classification algorithms available in Apache Mahout
• Create and evaluate your own ready-to-use classification models using real world datasets
• A practical guide to...

Performance-aware Component-based Software-Development A characteristic of an engineering discipline is the ability to predict the impact of design decisions. For example, in civil engineering accurate predictions of the impact of adding an additional ?oor on a construction’s statics are available. Having a similar ability in software...