By Miroslav Kubat

This textbook offers primary computer studying suggestions in a simple to appreciate demeanour through offering functional recommendation, utilizing trouble-free examples, and supplying attractive discussions of proper functions. the most themes comprise Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, choice timber, neural networks, and help vector machines. Later chapters exhibit how you can mix those basic instruments when it comes to “boosting,” how one can take advantage of them in additional advanced domain names, and the way to house various complex sensible concerns. One bankruptcy is devoted to the preferred genetic algorithms.

This revised version comprises 3 solely new chapters on serious issues in regards to the pragmatic software of desktop studying in undefined. The chapters study multi-label domain names, unsupervised studying and its use in deep studying, and logical ways to induction. a number of chapters were multiplied, and the presentation of the fabric has been superior. The e-book comprises many new routines, various solved examples, thought-provoking experiments, and desktop assignments for self sustaining work.

Show description

Read Online or Download An Introduction to Machine Learning PDF

Best data mining books

Data Mining for Genomics and Proteomics: Analysis of Gene and Protein Expression Data (Wiley Series on Methods and Applications in Data Mining)

Info Mining for Genomics and Proteomics makes use of pragmatic examples and a whole case examine to illustrate step by step how biomedical stories can be utilized to maximise the opportunity of extracting new and helpful biomedical wisdom from info. it's a superb source for college kids and pros concerned with gene or protein expression facts in numerous settings.

Introduction to Privacy-Preserving Data Publishing: Concepts and Techniques (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Getting access to top quality information is an important necessity in knowledge-based selection making. yet information in its uncooked shape frequently includes delicate information regarding contributors. supplying strategies to this challenge, the tools and instruments of privacy-preserving info publishing let the ebook of precious info whereas maintaining information privateness.

Modellierung von Business-Intelligence-Systemen: Leitfaden für erfolgreiche Projekte auf Basis flexibler Data-Warehouse-Architekturen (Edition TDWI) (German Edition)

Die Modellierung von Business-Intelligence-Systemen (BI) umfasst eine Vielzahl unterschiedlicher Facetten, die im Kontext von Operational BI, agile Warehousing, Real-Time und Self-Service BI zu bewerten sind. Dieses Buch beschreibt die Architektur und Gestaltung von unternehmensweiten analyseorientierten Informationssystemen insbesondere unter dem Aspekt zunehmend agiler Geschäftsanforderungen und deren Unterstützung durch BI-Methoden.

Leadership Strategies in the Age of Big Data, Algorithms, and Analytics

Harnessing the facility of know-how is without doubt one of the key measures of powerful management. management suggestions within the Age of massive information, Algorithms, and Analytics can assist leaders imagine and act like strategists to take care of a modern aggressive virtue. Written through a number one professional within the box, this e-book presents new insights on the best way to effectively transition businesses via aligning an organization’s tradition to just accept some great benefits of electronic know-how.

Extra info for An Introduction to Machine Learning

Example text

Download PDF sample

Rated 4.53 of 5 – based on 9 votes