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 - 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: 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: OL33656343M - OL21354375W
- ISBN-13: 9780429804564 - 9780429440953
- All ISBNs: 9780429804564 - 9780429440953
AI-generated Review of “Applied Machine Learning for Smart Data Analysis”:
"Applied Machine Learning for Smart Data Analysis" Description:
Open Data:
"The book focuses on how machine learning and Internet of Things (IoT) has empowered the advancement of information driven arrangements including key concepts and advancements. Divided into sections such as machine learning, security, IoT and data mining, the concepts are explained with practical implementation including results"--
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