Introduction to Algorithms for Data Mining and Machine Learning

Written By Xin-She Yang
Introduction to Algorithms for Data Mining and Machine Learning
  • Publsiher : Academic Press
  • Release : 15 July 2019
  • ISBN : 0128172169
  • Pages : 188 pages
  • Rating : 4/5 from 21 reviews
GET THIS BOOKIntroduction to Algorithms for Data Mining and Machine Learning


Read or download book entitled Introduction to Algorithms for Data Mining and Machine Learning written by Xin-She Yang which was release on 15 July 2019, this book published by Academic Press. Available in PDF, EPUB and Kindle Format. Book excerpt: Introduction to Algorithms for Data Mining and Machine Learning introduces the essential ideas behind all key algorithms and techniques for data mining and machine learning, along with optimization techniques. Its strong formal mathematical approach, well selected examples, and practical software recommendations help readers develop confidence in their data modeling skills so they can process and interpret data for classification, clustering, curve-fitting and predictions. Masterfully balancing theory and practice, it is especially useful for those who need relevant, well explained, but not rigorous (proofs based) background theory and clear guidelines for working with big data. Presents an informal, theorem-free approach with concise, compact coverage of all fundamental topics Includes worked examples that help users increase confidence in their understanding of key algorithms, thus encouraging self-study Provides algorithms and techniques that can be implemented in any programming language, with each chapter including notes about relevant software packages

Introduction to Algorithms for Data Mining and Machine Learning

Introduction to Algorithms for Data Mining and Machine Learning
  • Author : Xin-She Yang
  • Publisher : Academic Press
  • Release Date : 2019-07-15
  • Total pages : 188
  • ISBN : 0128172169
GET BOOK

Summary : Introduction to Algorithms for Data Mining and Machine Learning introduces the essential ideas behind all key algorithms and techniques for data mining and machine learning, along with optimization techniques. Its strong formal mathematical approach, well selected examples, and practical software recommendations help readers develop confidence in their data modeling skills ...

Machine Learning and Data Mining

Machine Learning and Data Mining
  • Author : Igor Kononenko,Matjaz Kukar
  • Publisher : Elsevier
  • Release Date : 2007-04-30
  • Total pages : 480
  • ISBN : 0128172169
GET BOOK

Summary : Data mining is often referred to by real-time users and software solutions providers as knowledge discovery in databases (KDD). Good data mining practice for business intelligence (the art of turning raw software into meaningful information) is demonstrated by the many new techniques and developments in the conversion of fresh scientific ...

Introduction to Algorithms for Data Mining and Machine Learning

Introduction to Algorithms for Data Mining and Machine Learning
  • Author : Xin-She Yang
  • Publisher : Academic Press
  • Release Date : 2019-06-17
  • Total pages : 188
  • ISBN : 0128172169
GET BOOK

Summary : Introduction to Algorithms for Data Mining and Machine Learning introduces the essential ideas behind all key algorithms and techniques for data mining and machine learning, along with optimization techniques. Its strong formal mathematical approach, well selected examples, and practical software recommendations help readers develop confidence in their data modeling skills ...

Data Mining for the Social Sciences

Data Mining for the Social Sciences
  • Author : Paul Attewell,David Monaghan,Darren Kwong
  • Publisher : Univ of California Press
  • Release Date : 2015-05
  • Total pages : 252
  • ISBN : 0128172169
GET BOOK

Summary : "We live, today, in world of big data. The amount of information collected on human behavior every day is staggering, and exponentially greater than at any time in the past. At the same time, we are inundated by stories of powerful algorithms capable of churning through this sea of data ...

Introduction to Machine Learning

Introduction to Machine Learning
  • Author : Ethem Alpaydin
  • Publisher : MIT Press
  • Release Date : 2009-12-04
  • Total pages : 584
  • ISBN : 0128172169
GET BOOK

Summary : A new edition of an introductory text in machine learning that gives a unified treatment of machine learning problems and solutions. The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, ...

Introduction to Statistical Machine Learning

Introduction to Statistical Machine Learning
  • Author : Masashi Sugiyama
  • Publisher : Morgan Kaufmann
  • Release Date : 2015-10-31
  • Total pages : 534
  • ISBN : 0128172169
GET BOOK

Summary : Machine learning allows computers to learn and discern patterns without actually being programmed. When Statistical techniques and machine learning are combined together they are a powerful tool for analysing various kinds of data in many computer science/engineering areas including, image processing, speech processing, natural language processing, robot control, as ...

Machine Learning

Machine Learning
  • Author : Peter Flach
  • Publisher : Cambridge University Press
  • Release Date : 2012-09-20
  • Total pages : 409
  • ISBN : 0128172169
GET BOOK

Summary : As one of the most comprehensive machine learning texts around, this book does justice to the field's incredible richness, but without losing sight of the unifying principles. Peter Flach's clear, example-based approach begins by discussing how a spam filter works, which gives an immediate introduction to machine learning in action, ...

Principles of Data Mining

Principles of Data Mining
  • Author : David J. Hand,Professor in the Department of Statistics David J Hand,Heikki Mannila,Padhraic Smyth
  • Publisher : MIT Press
  • Release Date : 2001
  • Total pages : 546
  • ISBN : 0128172169
GET BOOK

Summary : Measuremente and Data. Visualizing and Exploring Data. Data Analysis and Uncertainty. A Systematic Overview of Data Mining Algorithms. Models and Patterns. Score Functions for Data Mining Algorithms. Serach and Optimization Methods. Descriptive Modeling. Predictive Modeling for Classification. Predictive Modeling for Regression. Data Organization and Databases. Finding Patterns and Rules. Retrieval ...

Introduction to Artificial Intelligence

Introduction to Artificial Intelligence
  • Author : Wolfgang Ertel
  • Publisher : Springer
  • Release Date : 2018-01-18
  • Total pages : 356
  • ISBN : 0128172169
GET BOOK

Summary : This accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligence (AI). The broad-ranging discussion covers the key subdisciplines within the field, describing practical algorithms and concrete applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks, and reinforcement learning. ...

Introduction to Data Mining Pearson New International Edition

Introduction to Data Mining  Pearson New International Edition
  • Author : Pang-Ning Tan,Michael Steinbach,Vipin Kumar
  • Publisher : Pearson Higher Ed
  • Release Date : 2013-08-29
  • Total pages : 736
  • ISBN : 0128172169
GET BOOK

Summary : Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics. Each major topic is organized into two chapters, beginning with basic concepts that ...

Feature Engineering for Machine Learning and Data Analytics

Feature Engineering for Machine Learning and Data Analytics
  • Author : Guozhu Dong,Huan Liu
  • Publisher : CRC Press
  • Release Date : 2018-03-14
  • Total pages : 400
  • ISBN : 0128172169
GET BOOK

Summary : Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little can be achieved if there are few features to represent the underlying data objects, and the quality of results of those algorithms largely depends on the quality of the ...

Introduction to Data Mining and its Applications

Introduction to Data Mining and its Applications
  • Author : S. Sumathi,S.N. Sivanandam
  • Publisher : Springer
  • Release Date : 2006-10-12
  • Total pages : 828
  • ISBN : 0128172169
GET BOOK

Summary : This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in database systems, and presents a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing work from areas including database technology, artificial intelligence, machine learning, neural ...

Lifelong Machine Learning

Lifelong Machine Learning
  • Author : Zhiyuan Chen,Bing Liu
  • Publisher : Morgan & Claypool Publishers
  • Release Date : 2018-08-14
  • Total pages : 207
  • ISBN : 0128172169
GET BOOK

Summary : Lifelong Machine Learning, Second Edition is an introduction to an advanced machine learning paradigm that continuously learns by accumulating past knowledge that it then uses in future learning and problem solving. In contrast, the current dominant machine learning paradigm learns in isolation: given a training dataset, it runs a machine ...

Neural Networks and Statistical Learning

Neural Networks and Statistical Learning
  • Author : Ke-Lin Du,M. N. S. Swamy
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-12-09
  • Total pages : 824
  • ISBN : 0128172169
GET BOOK

Summary : Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resource for study and further research. All the major popular neural network models and statistical learning approaches are covered with examples and exercises in every chapter to develop ...

Data Mining for Business Analytics

Data Mining for Business Analytics
  • Author : Galit Shmueli,Peter C. Bruce,Peter Gedeck,Nitin R. Patel
  • Publisher : John Wiley & Sons
  • Release Date : 2019-11-05
  • Total pages : 608
  • ISBN : 0128172169
GET BOOK

Summary : Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and open-source software) to tackle business problems ...