machine learning with r third

Data-Driven Fluid Mechanics: Combining First Principles and Machine Learning (Hardcover)

Data-driven methods have become an essential part of the methodological portfolio of fluid dynamicists motivating students and practitioners to gather practical knowledge from a diverse range of disciplines. These fields include computer science... more

Composites Science and Technology: Machine Learning Applied to Composite Materials (Hardcover)

This book introduces the approach of Machine Learning (ML) based predictive models in the design of composite materials to achieve the required properties for certain applications. ML can learn from existing experimental data obtained from very limited... more

Machine Learning: An Artificial Intelligence Approach (Paperback)

The ability to learn is one of the most fundamental attributes of intelligent behavior. Consequently progress in the theory and computer modeling of learn- ing processes is of great significance to fields concerned with understanding in- telligence.... more

Per Anhalter durch die Galaxis des verantwortungsvollen maschinellen Lernens: The Hitchhiker s Guide to Responsible Machine Learning (Paperback)

Dieses Buch ist eine einzigartige Verflechtung von Theorie Beispielen und Verfahren die für verantwortungsvolles maschinelles Lernen relevant sind. Sie finden Intuitionen und Beispiele für Interpretable Machine Learning (IML) und eXplainable... more

Machine Learning Classification of Epileptic Seizures Based on EEG (Paperback)

Machine Learning Classification of Epileptic Seizures Based on Electroencephalogram using Third-Ordered Cumulants and Adaptive Fractal Analysis Techniques1 IntroductionEpilepsy is one of the serious neurological diseases in the world. Indeed early... more

Pre-Owned Machine Tool Practices (Hardcover 9780471843436) by Richard R Kibbe

9780471843436. Pre-Owned: Good condition. Other. 3rd ed. Language: English. Pages: 839. 839 p. The updated third edition of this text includes new material on the rapidly growing fields of CNC CIM CAD and robotics. The previous editions of this text... more

Learning to Fly Helicopters Second Edition 2nd Revised ed. (Paperback)

Publisher s Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality authenticity or access to any online entitlements included with the product. A comprehensive guide to helicopter flying and flighttraining for... more

Pre-Owned Practical Machine Learning with R: Define build and evaluate machine learning models for real-world applications Paperback

Our books are pre-loved which means they have been read before. We carefully check all our books and believe them to be in a - USED - VERY GOOD Condition condition. If you re not completely satisfied please get in touch & we ll be happy to help.... more

Foundations and Trends(r) in Machine Learning: Model-based Reinforcement Learning: A Survey (Paperback)

Sequential decision making commonly formalized as Markov Decision Process (MDP) optimization is an important challenge in artificial intelligence. Two key approaches to this problem are reinforcement learning (RL) and planning. This monograph surveys... more

Foundations and Trends(r) in Machine Learning: Metric Learning: A Survey (Paperback)

The metric learning problem is concerned with learning a distance function tuned to a particular task and has been shown to be useful when used in conjunction with nearest-neighbor methods and other techniques that rely on distances or similarities.... more

Foundations and Trends(r) in Machine Learning: Reinforcement Learning Bit by Bit (Paperback)

Reinforcement learning agents have demonstrated remarkable achievements in simulated environments. Data efficiency however significantly impedes carrying this success over to real environments. The design of data-efficient agents that address this... more

Foundations and Trends(r) in Machine Learning: Risk-Sensitive Reinforcement Learning via Policy Gradient Search (Paperback)

Reinforcement learning (RL) is one of the foundational pillars of artificial intelligence and machine learning. An important consideration in any optimization or control problem is the notion of risk but its incorporation into RL has been a fairly... more

Advances in Intelligent Systems and Computing: Advances in Decision Science and Management: Proceedings of Third International Conference on Decision Science and Management (Icdsm 2021) (Paperback)

This book discusses an emerging area in computer science IT and management i.e. decision sciences and management. It includes studies that employ various computing techniques like machine learning to generate insights from huge amounts of available... more

Lecture Notes in Electrical Engineering: Computational Advancement in Communication Circuits and Systems: Proceedings of 3rd Iccaccs 2020 (Paperback)

Proper Choice of a Machine Learning Algorithm for Breast Cancer Prediction.- Word Boundary Detection Using Convolutional Neural Network (CNN) and Decision Tree Method.- Brain Computer Interface: A Review.- COVID-19 Economic Tracking and Assistance... more

Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-Oncology: Third International Workshop Mlcn 2020 and Second International Workshop Rno-AI 2020 Held in Conjunction with Miccai

This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning in Clinical Neuroimaging MLCN 2020 and the Second International Workshop on Radiogenomics in Neuro-oncology RNO-AI 2020 held in conjunction with... more

Lecture Notes in Networks and Systems: Proceedings of 3rd International Conference on Recent Trends in Machine Learning Iot Smart Cities and Applications: Icmisc 2022 (Paperback)

Proceedings of 3rd International Conference on Recent Trends in Machine Learning Iot Smart Cities and Applications: Icmisc 2022 more

Machine Learning in Medical Imaging: Third International Workshop MLMI 2012 Held in Conjunction with Miccai 2012 Nice France October 1 2012 Revised Selected Papers (Paperback)

Machine Learning in Medical Imaging: Third International Workshop MLMI 2012 Held in Conjunction with Miccai 2012 Nice France October 1 2012 Revised Selected Papers more

Machine Learning for Cyber Security: Third International Conference Ml4cs 2020 Guangzhou China October 8-10 2020 Proceedings Part III (Paperback)

This three volume book set constitutes the proceedings of the Third International Conference on Machine Learning for Cyber Security ML4CS 2020 held in Xi an China in October 2020. The 118 full papers and 40 short papers presented were carefully... more

Fundamentals of Machine Elements (Hardcover)

Fundamentals of Machine Elements Third Edition offers an in-depth understanding of both the theory and application of machine elements. Design synthesis is carefully balanced with design analysis an approach developed through the use of case studies... more

Foundations and Trends(r) in Machine Learning: Graph Kernels (Paperback)

Among the data structures commonly used in machine learning graphs are arguably one of the most general. Graphs allow the modelling of complex objects each of which can be annotated by metadata. Nonetheless seemingly simple questions such as... more

Foundations and Trends(r) in Machine Learning: Divided Differences Falling Factorials and Discrete Splines: Another Look at Trend Filtering and Related Problems (Paperback)

This monograph reviews a class of univariate piecewise polynomial functions known as discrete splines which share properties analogous to the better-known class of spline functions but where continuity in derivatives is replaced by continuity in... more

Machine Learning (in Python and R) for Dummies - John Paul Mueller Luca Massaron

Machine learning can be a mind-boggling concept for the masses but those who are in the trenches of computer programming know just how invaluable it is. Without machine learning fraud detection web search results real-time ads on web pages credit... more

Machine Learning Toolbox for Social Scientists: Applied Predictive Analytics with R (Hardcover)

Machine Learning Toolbox for Social Scientists covers predictive methods with complementary statistical tools that make it mostly self-contained. The inferential statistics is the traditional framework for most data analytics courses in social science... more

Foundations and Trends(r) in Machine Learning: An Introduction to Wishart Matrix Moments (Paperback)

Random matrix theory plays a central role in statistical physics computational mathematics and engineering sciences including data assimilation signal processing combinatorial optimization compressed sensing econometrics and mathematical finance among... more

Foundations and Trends(r) in Machine Learning: Data Analytics on Graphs (Hardcover)

The current availability of powerful computers and huge data sets is creating new opportunities in computational mathematics to bring together concepts and tools from graph theory machine learning and signal processing creating Data Analytics on... more

Springer Applied Machine Learning: Data Science and Predictive Analytics: Biomedical and Health Applications Using R (Hardcover)

This textbook integrates important mathematical foundations efficient computational algorithms applied statistical inference techniques and cutting-edge machine learning approaches to address a wide range of crucial biomedical informatics health... more

Foundations and Trends(r) in Machine Learning: An Introduction to Variational Autoencoders (Paperback)

In this monograph the authors present an introduction to the framework of variational autoencoders (VAEs) that provides a principled method for jointly learning deep latent-variable models and corresponding inference models using stochastic gradient... more

Pre-Owned Supervised Machine Learning: Optimization Framework and Applications with SAS and R Paperback

Our books are pre-loved which means they have been read before. We carefully check all our books and believe them to be in a - USED - VERY GOOD Condition condition. If you re not completely satisfied please get in touch & we ll be happy to help.... more

Supervised Machine Learning: Optimization Framework and Applications with SAS and R (Paperback)

AI framework intended to solve a problem of bias-variance tradeoff for supervised learning methods in real-life applications. The AI framework comprises of bootstrapping to create multiple training and testing data sets with various characteristics... more

Foundations and Trends(r) in Electronic Design Automation: From CNN to DNN Hardware Accelerators: A Survey on Design Exploration Simulation and Frameworks (Paperback)

The past decade has witnessed the consolidation of Artificial Intelligence technology thanks to the popularization of Machine Learning (ML) models. The technological boom of ML models started in 2012 when the world was stunned by the record-breaking... more

Foundations and Trends(r) in Signal Processing: Learning with Limited Samples: Meta-Learning and Applications to Communication Systems (Paperback)

Deep learning has achieved remarkable success in many machine learning tasks such as image classification speech recognition and game playing. However these breakthroughs are often difficult to translate into real-world engineering systems because deep... more

Time Series Algorithms Recipes: Implement Machine Learning and Deep Learning Techniques with Python (Paperback)

This book teaches the practical implementation of various concepts for time series analysis and modeling with Python through problem-solution-style recipes starting with data reading and preprocessing. It begins with the fundamentals of time series... more

Neural Networks with R: Build smart systems by implementing popular deep learning models in R (Paperback)

Build strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guide Key Features Get started in the field of Machine Learning with the help of this solid concept-rich yet highly practical guide.... more

Machine Learning Concepts for Beginners (Paperback)

The book Machine Learning Concepts for Beginners- Theory and Applications provides the in-depth knowledge in the field of Machine Learning to graduate post graduate and research scholars. Basically machine learning is a field of inquiry devoted to... more

Pre-Owned OpenGL(R) Programming Guide: The Official Guide to Learning OpenGL Version 1.2 (Paperback) 0201604582 9780201604580

OpenGL is a powerful software interface used to produce high-quality computer generated images and interactive applications using 2D and 3D objects and color bitmaps and images. The OpenGL Programming Guide Third Edition provides definitive and... more

Google Cloud Platform for Data Science: A Crash Course on Big Data Machine Learning and Data Analytics Services (Paperback)

This book is your practical and comprehensive guide to learning Google Cloud Platform (GCP) for data science using only the free tier services offered by the platform. Data science and machine learning are increasingly becoming critical to businesses... more

Foundations and Trends(r) in Information Retrieval: Deep Learning for Matching in Search and Recommendation (Paperback)

Matching which is to measure the relevance of a document to a query or interest of a user to an item is a key problem in both search and recommendation. Machine learning has been exploited to address the problem and efforts have been made to develop... more

Algorithms for Intelligent Systems: Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques Tools and Applications (Paperback)

Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques Tools and Applications more