Machine Learning & its Classification Techniques
Atul B. Kathole1, Prasad S. Halgaonkar2, Ashvini A. Nikhade3
1Atul B. Kathole, Department of Computer Engineering, Zeal College of Engineering and Research, Narhe, Pune, India.
2Dr. Prasad S. Halgaonkar, Department of Computer Engineering, Zeal College of Engineering and Research, Narhe, Pune, India.
3Ashvini A.Nikhade, Department of Computer Engineering, Zeal College of Engineering and Research, Narhe, Pune, India.
Manuscript received on 02 July 2019 | Revised Manuscript received on 16 July 2019 | Manuscript Published on 23 August 2019 | PP: 138-142 | Volume-8 Issue-9S3 August 2019 | Retrieval Number: I30280789S319/2019©BEIESP | DOI: 10.35940/ijitee.I3028.0789S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Recent developments in information systems as well as computerization of business processes by organizations have led to a faster, easier and more accurate data analysis and accuracy. Data mining and machine learning techniques have been used increasingly in the analysis of data in various fields ranging from medicine to organization, education and energy applications. Machine learning techniques make it possible to deduct meaningful further information from those data processed by data mining. Such meaningful and significant information helps organizations to establish their future policies. This study applies classification machine learning techniques also survey of active learning regarding selection methods, query strategies, applications.
Keywords: Machine Learning, Data Mining, Classification Techniques.
Scope of the Article: Machine Learning