"Machine learning is a vital part of numerous academic and financial applications, in areas ranging from health care and treatment to finding relevant information in social networks. Large organizations thoughtfully apply machine learning algorithms withextensive research teams. The purpose of this book is to provide an intellectual introduction to statistical or machine learning (ML) techniques for those that would not normally be exposed to such approaches during their typical required statistical exercise. Statistical analysis is an integral part of machine learning and can be described as a form of it, often even utilizing well-known and familiar techniques, that has a different focus than traditional analytical practice in applied disciplines. The key notion is that flexible, automatic approaches are used to detect patterns within the data, with a primary focus on making predictions on future data"--
Preface; Tools for Machine Learning; Comprehensive Review on
Applications of Machine Learning in Healthcare; Retinal Vessel Enhancement
Evaluation on DRIVE Dataset from CNN Performance; Machine Learning for
Network Analysis; Machine Learning in Hydrology; Machine Learning
Applications in Smart Sensors; The Role of Machine Learning in the Food
Industry; Phrase Based Machine Translation of English Text to Indian Sign
Language Using Order Scoring Algorithm; Stem Cell and Tissue Engineering:
Application of Machine Learning; Reconstruction of 3D Point Cloud-Based on
the Sequence of Images; Application of Machine Learning in Financial
Services; Eye-Tracking Data as a Way to Detect Sleep Deprivation in an
Individual, Based on Attention, Mental Agility, and Problem-Solving; Index.
Prasenjit Chatterjee, PhD Department of Mechanical Engineering, MCKV Institute of Engineering, West Bengal, India
Lisainfo e-raamatute kohta