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Can I read Learn Data Mining Through Excel : A Step-by-Step Approach for Understanding Machine Learning Methods on EtoBox?
Learn Data Mining Through Excel : A Step-by-Step Approach for Understanding Machine Learning Methods by Hong Zhou is a nonfiction available to read on EtoBox.
What is Learn Data Mining Through Excel : A Step-by-Step Approach for Understanding Machine Learning Methods about?
Use popular data mining techniques in Microsoft Excel to better understand machine learning methods. Software tools and programming language packages take data input and deliver data mining results directly, presenting no insight on working mechanics and creating a chasm between input and output. This is where Excel can help. Excel allows you to work with data in a transparent manner. When you open an Excel file, data is visible immediately and you can work with it directly. Intermediate results can be examined while you are conducting your mining task, offering a deeper understanding of how data is manipulated and results are obtained. These are critical aspects of the model construction process that are hidden in software tools and programming language packages. This book teaches you data mining through Excel. You will learn how Excel has an advantage in data mining when the data sets are not too large. It can give you a visual representation of data mining, building confidence in your results. You will go through every step manually, which offers not only an active learning experience, but teaches you how the mining process works and how to find the internal hidden patterns insi
Who reads Learn Data Mining Through Excel : A Step-by-Step Approach for Understanding Machine Learning Methods?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Hong Zhou
- Publisher
- APress, Imprint Apress
- Published
- 2020
- Language
- EN
- ISBN
- 9781484259818
- Category
- nonfiction
- Subjects
- Computer Science, Science, Mathematics
- Rating
- 4.4 / 5 (59 ratings)
- Updated
- 2026-03-14
Other editions & translations
More by Hong Zhou
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