Kang, Minsoo,
Machine learning : concepts, tools and data visualization / Minsoo Kang and Eunsoo Choi. - 1 online resource (296 pages)
Includes bibliographical references.
Artificial intelligence. Summary of artificial intelligence ; Machine learning ; Deep learning ; Case study ; Microsoft Azure Machine Learning Studio ; Create prediction model using Microsoft Azure Machine Learning Studio ; Create Prediction model using Microsoft Azure Machine Learning Studio web service deployment ; Creating a prediction model using Microsoft Azure Machine Learning Studio script integration -- Exercises. Exercises -- Visualization. Visualization ; Visualization with Power BI ; Visualization with R in power BI.
"This set of lecture notes, written for those who are unfamiliar with mathematics and programming, introduces the reader to important concepts in the field of machine learning. It consists of three parts. The first is an overview of the history of artificial intelligence, machine learning, and data science, and also includes case studies of well-known AI systems. The second is a step-by-step introduction to Azure Machine Learning, with examples provided. The third is an explanation of the techniques and methods used in data visualization with R, which can be used to communicate the results collected by the AI systems when they are analyzed statistically. Practice questions are provided throughout the book"--Publisher's website.
Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
9789811228155
Machine learning.
Artificial intelligence.
Electronic books.
Q325.5 / .K36 2021
006.31
Machine learning : concepts, tools and data visualization / Minsoo Kang and Eunsoo Choi. - 1 online resource (296 pages)
Includes bibliographical references.
Artificial intelligence. Summary of artificial intelligence ; Machine learning ; Deep learning ; Case study ; Microsoft Azure Machine Learning Studio ; Create prediction model using Microsoft Azure Machine Learning Studio ; Create Prediction model using Microsoft Azure Machine Learning Studio web service deployment ; Creating a prediction model using Microsoft Azure Machine Learning Studio script integration -- Exercises. Exercises -- Visualization. Visualization ; Visualization with Power BI ; Visualization with R in power BI.
"This set of lecture notes, written for those who are unfamiliar with mathematics and programming, introduces the reader to important concepts in the field of machine learning. It consists of three parts. The first is an overview of the history of artificial intelligence, machine learning, and data science, and also includes case studies of well-known AI systems. The second is a step-by-step introduction to Azure Machine Learning, with examples provided. The third is an explanation of the techniques and methods used in data visualization with R, which can be used to communicate the results collected by the AI systems when they are analyzed statistically. Practice questions are provided throughout the book"--Publisher's website.
Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
9789811228155
Machine learning.
Artificial intelligence.
Electronic books.
Q325.5 / .K36 2021
006.31