By Miroslav Kubat
This booklet offers simple rules of desktop studying in a manner that's effortless to appreciate, by means of offering hands-on functional suggestion, utilizing uncomplicated examples, and motivating scholars with discussions of attention-grabbing purposes. the most issues comprise Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, determination timber, neural networks, and help vector machines. Later chapters exhibit the right way to mix those easy instruments when it comes to “boosting,” easy methods to take advantage of them in additional advanced domain names, and the way to accommodate various complicated sensible concerns. One bankruptcy is devoted to the preferred genetic algorithms.
Read Online or Download An Introduction to Machine Learning PDF
Best pattern recognition programming books
This e-book is ready visualization, systematically incorporating the fantastic human pattern popularity into the problem-solving method, and targeting parallel coordinates. The barrier, imposed by means of our third-dimensional habitation and perceptual event, has been breached via this leading edge and flexible technique.
Potentially the main finished evaluate of special effects as obvious within the context of geometric modelling, this quantity paintings covers implementation and idea in a radical and systematic style. special effects and Geometric Modelling: arithmetic, includes the mathematical history wanted for the geometric modeling subject matters in special effects lined within the first quantity.
Providing a primary foundation in kernel-based studying idea, this e-book covers either statistical and algebraic rules. It offers over 30 significant theorems for kernel-based supervised and unsupervised studying types. the 1st of the theorems establishes a situation, arguably useful and enough, for the kernelization of studying types.
This publication constitutes the completely refereed post-conference complaints of the sixth foreign Joint convention on Biomedical Engineering structures and applied sciences, BIOSTEC 2013, held in Barcelona, Spain, in February 2013. The 28 revised complete papers offered have been rigorously reviewed and chosen from a complete of 392 submissions.
- Two-Dimensional Change Detection Methods: Remote Sensing Applications (SpringerBriefs in Computer Science)
- Hyperspectral Data Compression
- Gesture Recognition (The Springer Series on Challenges in Machine Learning)
- Computer Vision, Imaging and Computer Graphics: Theory and Applications: International Joint Conference, VISIGRAPP 2013, Barcelona, Spain, February 21-24, ... in Computer and Information Science)
Additional info for An Introduction to Machine Learning
An Introduction to Machine Learning by Miroslav Kubat