Computer Books › understanding machine learning from theory

Learn Data Mining Through Excel: A Step-By-Step Approach for Understanding Machine Learning Methods (Paperback)

Use popular data mining techniques in Microsoft Excel to better understand machine learning methods. Most software tools and programming language packages take data input and deliver data mining results directly presenting no insight on working... more

Pre-Owned Python Machine Learning: Machine Learning and Deep Learning with Python scikit-learn and (Paperback) by Sebastian Raschka Vahid Mirjalili

9781789955750. Pre-Owned: Good condition. Paperback. Edition: 3. Language: English. Intended for professional and scholarly audience. Applied machine learning with a solid foundation in theory. Revised and expanded for TensorFlow 2 GANs and... more

Adaptive Computation and Machine Learnin Learning Kernel Classifiers: Theory and Algorithms (Paperback)

An overview of the theory and application of kernel classification methods. Linear classifiers in kernel spaces have emerged as a major topic within the field of machine learning. The kernel technique takes the linear classifier--a limited but... more

Advances in Computer Vision and Pattern Recognition: Machine Learning for Vision-Based Motion Analysis: Theory and Techniques (Paperback)

Techniques of vision-based motion analysis aim to detect track identify and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applications from visual surveillance to human-machine... more

Studies in Computational Intelligence: Metaheuristics in Machine Learning: Theory and Applications (Hardcover)

Metaheuristics in Machine Learning: Theory and Applications more

Natural Language Processing (NLP) and Machine Learning (ML): Theory and Applications (Hardcover)

Natural language processing (NLP) is one of the most important technologies in use today especially due to the large and growing amount of online text which needs to be understood in order to fully ascertain its enormous value. During the last decade... more

Machine Learning with Python: Theory and Implementation (Hardcover)

Machine Learning with Python: Theory and Implementation more

Pre-Owned Machine Learning with Python: Theory and Applications (Hardcover) by G R Liu

9789811254178. Pre-Owned: Good condition. Hard cover. Language: English. Pages: 692. Sewn binding. Cloth over boards. 692 p. Machine Learning (ML) has become a very important area of research widely used in various industries.This compendium introduces... more

Studies in Computational Intelligence: Metaheuristics in Machine Learning: Theory and Applications (Paperback)

Metaheuristics in Machine Learning: Theory and Applications more

Machine Learning For Humans: Introduction to Machine Learning with Python (Paperback)

Machine Learning for Humans is an introduction to machine learning that is accessible to anyone with a basic understanding of high school mathematics. The book provides a practical understanding of machine learning through a hands-on approach using... more

Chapman & Hall/CRC Machine Learning & Pattern Recognition: Deep and Shallow: Machine Learning in Music and Audio (Hardcover)

Providing an essential and unique bridge between the theories of signal processing machine learning and artificial intelligence (AI) in music this book provides a holistic overview of foundational ideas in music from the physical and mathematical... more

Studies in Computational Intelligence: Shape Understanding System - Knowledge Implementation and Learning (Hardcover)

This book introduces and explores the term knowledge implementation denoting the new method of meaningful learning in the context of machine understanding. Discusses Shape Understanding Systems (SUS) and visual objects sensory objects and text objects. more

Machine Learning: A Theoretical Approach (Hardcover)

This is the first comprehensive introduction to computational learning theory. The author s uniform presentation of fundamental results and their applications offers AI researchers a theoretical perspective on the problems they study. The book presents... more

Fundamentals of Pattern Recognition and Machine Learning (Hardcover)

Fundamentals of Pattern Recognition and Machine Learning is designed for a one or two-semester introductory course in Pattern Recognition or Machine Learning at the graduate or advanced undergraduate level. The book combines theory and practice and is... more

Machine Perception and Artificial Intelligence: Ensemble Learning: Pattern Classification Using Ensemble Methods (Second Edition) (Hardcover)

This updated compendium provides a methodical introduction with a coherent and unified repository of ensemble methods theories trends challenges and applications. More than a third of this edition comprised of new materials highlighting descriptions of... more

Confluence of AI Machine and Deep Learning in Cyber Forensics (Paperback)

The book provides original research about cyber forensics and its relationship to Artificial Intelligence (AI) and presents the results of research and case studies that advance the practice and understanding of cyber forensics methods and techniques... more

Studies in Computational Intelligence: Advances in Neural Computation Machine Learning and Cognitive Research III: Selected Papers from the XXI International Conference on Neuroinformatics October

This book describes new theories and applications of artificial neural networks with a special focus on answering questions in neuroscience biology and biophysics and cognitive research. It covers a wide range of methods and technologies including deep... more

Machine Learning for Data Science Handbook: Data Mining and Knowledge Discovery Handbook (Hardcover)

This handbook organizes all major concepts theories methodologies trends challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified whole. The book first surveys then provides comprehensive... 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

Pre-Owned Python Machine Learning by Example - Third Edition: Build intelligent systems using Python TensorFlow 2 PyTorch and scikit-learn (Paperback) 1800209711 9781800209718

A comprehensive guide to get you up to speed with the latest developments of practical machine learning with Python and upgrade your understanding of machine learning (ML) algorithms and techniques Key Features Dive into machine learning algorithms to... more

Data Mining and Machine Learning Applications (Hardcover)

DATA MINING AND MACHINE LEARNING APPLICATIONS The book elaborates in detail on the current needs of data mining and machine learning and promotes mutual understanding among research in different disciplines thus facilitating research development and... more

Practical Machine Learning and Image Processing: For Facial Recognition Object Detection and Pattern Recognition Using Python (Paperback)

Gain insights into image-processing methodologies and algorithms using machine learning and neural networks in Python. This book begins with the environment setup understanding basic image-processing terminology and exploring Python concepts that will... 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

Context-Aware Machine Learning and Mobile Data Analytics: Automated Rule-Based Services with Intelligent Decision-Making (Paperback)

This book offers a clear understanding of the concept of context-aware machine learning including an automated rule-based framework within the broad area of data science and analytics particularly with the aim of data-driven intelligent decision... more

Machine Learning with Python for Everyone (Paperback - Used) 0134845625 9780134845623

The Complete Beginner s Guide to Understanding and Building Machine Learning Systems with Python Machine Learning with Python for Everyone will help you master the processes patterns and strategies you need to build effective learning systems even if... more

Studies in Computational Intelligence: Advances in Neural Computation Machine Learning and Cognitive Research IV: Selected Papers from the XXII International Conference on Neuroinformatics October

This book describes new theories and applications of artificial neural networks with a special focus on answering questions in neuroscience biology and biophysics and cognitive research. It covers a wide range of methods and technologies including deep... more

Studies in Computational Intelligence: Advances in Neural Computation Machine Learning and Cognitive Research: Selected Papers from the XIX International Conference on Neuroinformatics October 2-6

Includes selected papers from the XIX International Conference on Neuroinformatics held on October 2-6 2017 in Moscow Russia Reports on both the theory and applications of artificial neural networks Presents topics ranging from advances in machine... more

Pre-Owned Machine Learning for OpenCV 4: Intelligent algorithms for building image processing apps (Paperback 9781789536300) by Aditya Sharma Vishwesh Ravi Shrimali Michael Beyeler

9781789536300. Pre-Owned: Good condition. Paperback. Edition: 2. Language: English. A practical guide to understanding the core machine learning and deep learning algorithms and implementing them to create intelligent image processing systems using... more

Active Contours: The Application of Techniques from Graphics Vision Control Theory and Statistics to Visual Tracking of Shapes in Motion (Paperback)

Active Contours deals with the analysis of moving images - a topic of growing importance within the computer graphics industry. In particular it is concerned with understanding specifying and learning prior models of varying strength and applying them... more

Prediction Learning and Games (Hardcover)

This important text and reference for researchers and students in machine learning game theory statistics and information theory offers a comprehensive treatment of the problem of predicting individual sequences. Unlike standard statistical approaches... more

Studies in Computational Intelligence: Kernel Based Algorithms for Mining Huge Data Sets: Supervised Semi-Supervised and Unsupervised Learning (Hardcover)

This is the first book treating the fields of supervised semi-supervised and unsupervised machine learning collectively. The book presents both the theory and the algorithms for mining huge data sets using support vector machines (SVMs) in an iterative... more

Studies in Computational Intelligence: Kernel Based Algorithms for Mining Huge Data Sets: Supervised Semi-Supervised and Unsupervised Learning (Paperback)

This is the first book treating the fields of supervised semi-supervised and unsupervised machine learning collectively. The book presents both the theory and the algorithms for mining huge data sets using support vector machines (SVMs) in an iterative... more

Deep Learning Foundations (Hardcover)

This book provides a conceptual understanding of deep learning algorithms. The book consists of the four parts: foundations deep machine learning deep neural networks and textual deep learning. The first part provides traditional supervised learning... more

Data-Driven Methods for Adaptive Spoken Dialogue Systems: Computational Learning for Conversational Interfaces (Hardcover)

Data driven methods have long been used in Automatic Speech Recognition (ASR) and Text-To-Speech (TTS) synthesis and have more recently been introduced for dialogue management spoken language understanding and Natural Language Generation. Machine... more

Lecture Notes in Computer Science: Pattern Recognition with Support Vector Machines: First International Workshop Svm 2002 Niagara Falls Canada August 10 2002. Proceedings (Paperback)

With their introduction in 1995 Support Vector Machines (SVMs) marked the beginningofanewerainthelearningfromexamplesparadigm.Rootedinthe Statistical Learning Theory developed by Vladimir Vapnik at AT&T SVMs quickly gained attention from the pattern... more

Pattern Classification 2nd Edition with Computer Manual 2nd Edition Set (Hardcover)

The first edition published in 1973 has become a classic reference in the field. Now with the second edition readers will find information on key new topics such as neural networks and statistical pattern recognition the theory of machine learning and... more