Your nononsense guide to making sense of machine learningMachine learning can be a mindboggling concept for the masses, but those who are in the trenches...
With a machine learning approach and less focus on linguistic details, this gentle introduction to natural language processing develops fundamental mathematical and deep learning models...
Offering a fundamental basis in kernelbased learning theory, this book covers both statistical and algebraic principles. It provides over 30 major theorems for kernelbased supervised...
Graphics in this book are printed in black and white.This book includes :Excel VBA : A StepByStep Tutorial For Beginners To Learn Excel VBA Programming...
Machine Learning: An Artificial Intelligence Approach contains tutorial overviews and research papers representative of trends in the area of machine learning as viewed from an...
Diagnosisrelated groups (DRGs) are used in hospitals for the reimbursement of inpatient services. The assignment of a patient to a DRG can be distinguished into...
Product Description This book constitutes the refereed proceedings of the 7th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2011, held...
This book constitutes the refereed proceedings of the 13th International Conference on Machine Learning and Cybernetics, Lanzhou, China, in July 2014. The 45 revised full...
Machine learning is concerned with the analysis of large data and multiple variables. It is also often more sensitive than traditional statistical methods to analyze...
Master expert techniques for building automated and highly scalable endtoend machine learning models and pipelines in Azure using TensorFlow, Spark, and KubernetesKey Features Make sense...
Product Description Data fusion problems arise frequently in many different fields. This book provides a specific introduction to data fusion problems using support vector machines....
This book constitutes the thoroughly refereed postproceedings of the 4th International Workshop on Machine Learning for Multimodal Interaction, MLMI 2007, held in Brno, Czech Republic,...
This twovolume set LNAI 10934 and LNAI 10935 constitutes the refereed proceedings of the 14th International Conference on Machine Learning and Data Mining in Pattern...
This book constitutes the refereed postconference proceedings of the International Conference on Machine Learning and Intelligent Communications, MLICOM 2016, held in Shanghai, China in August...
This book constitutes revised selected papers from the Second International Workshop on Machine Learning, Optimization, and Big Data, MOD 2016, held in Volterra, Italy, in...
The twovolume set LNAI 8856 and LNAI 8857 constitutes the proceedings of the 13th Mexican International Conference on Artificial Intelligence, MICAI 2014, held in Tuxtla,...
This book focuses on how machine learning techniques can be used to analyze and make use of one particular category of behavioral biometrics known as...
The three volume proceedings LNAI 11906 11908 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD...
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NOTICE: To buy the newest edition of this book (2021), please search 'Machine Learning Absolute Beginners Third Edition' on Amazon. The product page you are...
A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.Today's Webenabled deluge of electronic data calls for automated methods...
Multistrategy learning is one of the newest and most promising research directions in the development of machine learning systems. The objectives of research in this...
Quickly build and deploy machine learning models without managing infrastructure, and improve productivity using Amazon SageMaker's capabilities such as Amazon SageMaker Studio, Autopilot, Experiments, Debugger,...
"Machine Learning and Data Mining for Computer Security" provides an overview of the current state of research in machine learning and data mining as it...
This is the first textbook on a generally applicable control strategy for turbulence and other complex nonlinear systems. The approach of the book employs powerful...
This book introduces machine learning methods in finance. It presents a unified treatment of machine learning and various statistical and computational disciplines in quantitative finance,...
Become proficient in deriving insights from timeseries data and analyzing a model's performanceKey Features: Explore popular and modern machine learning methods including the latest online...
Extract patterns and knowledge from your data in easy way using MATLABAbout This BookGet your first steps into machine learning with the help of this...
The most comprehensive book on the engineering aspects of building reliable AI systems."If you intend to use machine learning to solve business problems at scale,...
From selfdriving cars and recommender systems to speech and face recognition, machine learning is the way of the future. Would you like to learn the...
This book is based on the author's Ph.D. dissertation[56]. The the sis research was conducted while the author was a graduate student in the Department...
Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics presents a new approach to numerical analysis for modern computer scientists. Using examples from a...
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...
The book begins with a chapter on traditional methods of supervised learning, covering recursive least squares learning, mean square error methods, and stochastic approximation. Chapter...
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