Applied Machine Learning for Smart Data Analysis - Info and Reading Options
By Nilanjan Dey, Sanjeev Wagh, Parikshit N. Mahalle and Mohamad Shafi Pathan
"Applied Machine Learning for Smart Data Analysis" was published by Taylor & Francis Group in 2019 - Boca Raton London New York, NY, it has 225 pages and the language of the book is English.
“Applied Machine Learning for Smart Data Analysis” Metadata:
- Title: ➤ Applied Machine Learning for Smart Data Analysis
- Authors: Nilanjan DeySanjeev WaghParikshit N. MahalleMohamad Shafi Pathan
- Language: English
- Number of Pages: 225
- Publisher: Taylor & Francis Group
- Publish Date: 2019
- Publish Location: Boca Raton London New York, NY
“Applied Machine Learning for Smart Data Analysis” Subjects and Themes:
- Subjects: ➤ Data mining - Electronic data processing - Decision support systems - Machine learning - Internet - Systems engineering - Industrial applications - Internet of things - Data processing - COMPUTERS - General - Database Management - Data Mining - Machine Theory - TECHNOLOGY - Electricity
Edition Identifiers:
- The Open Library ID: OL33672416M - OL21354375W
- ISBN-13: 9780429804557 - 9780429804571 - 9780429440953 - 9780429804564
- All ISBNs: 9780429804557 - 9780429804571 - 9780429440953 - 9780429804564
AI-generated Review of “Applied Machine Learning for Smart Data Analysis”:
"Applied Machine Learning for Smart Data Analysis" Description:
Open Data:
Machine Learning1. Hindi and Urdu To English Named Entity Statistical Machine Transliteration Using Source Language Word Origin Context2. Anti-Depression Psychotherapist Chat-Bot for Exam And Study Depression3. Deep Learning for HealthCare Information's4. Priority based Message Forwarding Scheme in VANET with Intelligent Navigation5. Plagiasil: "A Plagiarism Detector"(MAS Scalable Framework for Research Effort Evaluation by Unsupervised Machine Learning -- Hybrid Plagiarism Model)Machine Learning in Data Mining6. Digital image processing using Wavelets Basic principles and application7. Placements Probability Predictor Using Data Mining Techniques8. Big Data Summarization using Modified Fuzzy Clustering Algorithm, Semantic Feature and Data Compression Approach9. Topic specific Natural Language Chatbot as General Advisor for CollegeMachine Learning in IoT10. Implementing Ubiquitous Environment In Museum11. Implementation of Machine Learning in Education Sector: Analyzing causes behind average student grades12. Traffic Zone Warning and Violation Detection using Mobile ComputingMachine Learning in security13. A Comparative Analysis and Discussion of Email Spam Classification Methods using Machine Learning Techniques14. Malware Prevention and Detection System for SmartPhone: A Machine Learning Approach15. Spam Review Detection and Recommendation of Correct Outcomes Based on Appropriate ReviewsIndex
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