Learn data mining through excel : (Record no. 67143)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 02208nam a22001937a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 210817b2020 ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781484267356 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.312 ZHO-H |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Zhou, Hong |
| 245 ## - TITLE STATEMENT | |
| Title | Learn data mining through excel : |
| Remainder of title | a step-by-step approach for understanding machine learning methods / |
| Statement of responsibility, etc. | Hong Zhou |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | USA |
| Name of publisher, distributor, etc. | Apress |
| Date of publication, distribution, etc. | 2020 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 219 p. |
| 365 ## - TRADE PRICE | |
| Price type code | INR |
| Price amount | 799.00. |
| 500 ## - GENERAL NOTE | |
| General note | Use popular data mining techniques in Microsoft Excel to better understand machine learning methods.<br/><br/>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.<br/><br/>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.<br/><br/>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 inside the data.<br/><br/><br/><br/>What You Will Learn<br/><br/>Comprehend data mining using a visual step-by-step approach<br/>Build on a theoretical introduction of a data mining method, followed by an Excel implementation<br/>Unveil the mystery behind machine learning algorithms, making a complex topic accessible to everyone<br/>Become skilled in creative uses of Excel formulas and functions<br/>Obtain hands-on experience with data mining and Excel |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Data mining |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine learning |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Microsoft Excel (Computer file) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Microsoft software |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) | |
| Withdrawn status | |
| Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | 003-007 | BITS Pilani Hyderabad | BITS Pilani Hyderabad | General Stack (For lending) | 17/08/2021 | 006.312 ZHO-H | 42461 | 13/07/2024 | 17/08/2021 | Books |