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- Introduction to Algorithms for Data Mining and Machine Learning

- Author : Xin-She Yang
- Publsiher : Academic Press
- Release : 15 July 2019
- ISBN : 0128172169
- Pages : 188 pages
- Rating : 4/5 from 21 reviews

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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

- Author : Xin-She Yang
- Publisher : Academic Press
- Release Date : 2019-07-15
- Total pages : 188
- ISBN : 0128172169

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**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 ...

- Author : Pang-Ning Tan,Michael Steinbach,Anuj Karpatne,Vipin Kumar
- Publisher : Addison-Wesley
- Release Date : 2019
- Total pages : 839
- ISBN : 0128172169

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**Summary :** Introduction to Data Mining, Second Edition, is intended for use in the Data Mining course. It is also suitable for individuals seeking an introduction to data mining. The text assumes only a modest statistics or mathematics background, and no database knowledge is needed. Introduction to Data Mining presents fundamental concepts ...

- Author : Paul Attewell,David Monaghan,Darren Kwong
- Publisher : Univ of California Press
- Release Date : 2015-05
- Total pages : 252
- ISBN : 0128172169

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**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 ...

- Author : Ian H. Witten,Eibe Frank,Mark A. Hall,Christopher J. Pal
- Publisher : Morgan Kaufmann
- Release Date : 2016-10-01
- Total pages : 654
- ISBN : 0128172169

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**Summary :** Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches ...

- Author : Ethem Alpaydin
- Publisher : MIT Press
- Release Date : 2004
- Total pages : 415
- ISBN : 0128172169

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**Summary :** An introductory text in machine learning that gives a unified treatment of methods based on statistics, pattern recognition, neural networks, artificial intelligence, signal processing, control, and data mining....

- Author : Igor Kononenko,Matjaz Kukar
- Publisher : Elsevier
- Release Date : 2007-04-30
- Total pages : 480
- ISBN : 0128172169

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**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 ...

- 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

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**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 ...

- Author : Sushmita Mitra,Sujay Datta,Theodore Perkins,George Michailidis
- Publisher : CRC Press
- Release Date : 2008-06-05
- Total pages : 384
- ISBN : 0128172169

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**Summary :** Lucidly Integrates Current Activities Focusing on both fundamentals and recent advances, Introduction to Machine Learning and Bioinformatics presents an informative and accessible account of the ways in which these two increasingly intertwined areas relate to each other. Examines Connections between Machine Learning & Bioinformatics The book begins with a brief historical ...

- Author : Petra Perner,Atsushi Imiya
- Publisher : Springer Science & Business Media
- Release Date : 2005-07-08
- Total pages : 698
- ISBN : 0128172169

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**Summary :** We met again in front of the statue of Gottfried Wilhelm von Leibniz in the city of Leipzig. Leibniz, a famous son of Leipzig, planned automatic logical inference using symbolic computation, aimed to collate all human knowledge. Today, artificial intelligence deals with large amounts of data and knowledge and finds ...

- Author : Masashi Sugiyama
- Publisher : Morgan Kaufmann
- Release Date : 2015-10-31
- Total pages : 534
- ISBN : 0128172169

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**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 ...

- Author : Brett Lantz
- Publisher : Packt Publishing Ltd
- Release Date : 2015-07-31
- Total pages : 452
- ISBN : 0128172169

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**Summary :** Build machine learning algorithms, prepare data, and dig deep into data prediction techniques with R About This Book Harness the power of R for statistical computing and data science Explore, forecast, and classify data with R Use R to apply common machine learning algorithms to real-world scenarios Who This Book ...

- Author : Clara Pizzuti,Marylyn D. Ritchie,Mario Giacobini
- Publisher : Springer Science & Business Media
- Release Date : 2010-03-25
- Total pages : 249
- ISBN : 0128172169

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**Summary :** The ?eld of bioinformatics has two main objectives: the creation and main- nance of biological databases, and the discovery of knowledge from life sciences datainordertounravelthemysteriesofbiologicalfunction,leadingtonewdrugs andtherapiesforhumandisease. Life sciencesdatacomeinthe formofbiological sequences, structures, pathways, or literature. One major aspect of discovering biological knowledge is to search, predict, or model speci?c ...

- Author : Abhishek Kumar Pandey,Pramod Singh Rathore,Dr. S. Balamurugan
- Publisher : BPB Publications
- Release Date : 2019-09-18
- Total pages : 280
- ISBN : 0128172169

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**Summary :** Guide covering topics from machine learning, regression models, neural network to tensor flow DESCRIPTION Machine learning is mostly sought in the research field and has become an integral part of many research projects nowadays including commercial applications, as well as academic research. Application of machine learning ranges from finding friends ...

- Author : Wolfgang Ertel
- Publisher : Springer
- Release Date : 2018-01-18
- Total pages : 356
- ISBN : 0128172169

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**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. ...

- Author : Zhiyuan Chen,Bing Liu
- Publisher : Morgan & Claypool Publishers
- Release Date : 2018-08-14
- Total pages : 207
- ISBN : 0128172169

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**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 ...