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.
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MACHINE LEARNING: CONCEPTS, TOOLS AND DATA VISUALIZATION: Concepts, Tools and Data Visualization
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.
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MACHINE LEARNING: CONCEPTS, TOOLS AND DATA VISUALIZATION: Concepts, Tools and Data Visualization
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MACHINE LEARNING: CONCEPTS, TOOLS AND DATA VISUALIZATION: Concepts, Tools and Data Visualization
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38.0
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Product Details
| ISBN-13: | 9789811228162 |
|---|---|
| Publisher: | World Scientific Publishing Company, Incorporated |
| Publication date: | 03/16/2021 |
| Sold by: | Barnes & Noble |
| Format: | eBook |
| Pages: | 296 |
| File size: | 78 MB |
| Note: | This product may take a few minutes to download. |
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