000			03108nam a22002057a 4500
999			_c3877 _d3877
005			20221206154159.0
008			221206b ||||| |||| 00| 0 eng d
020			_a9781484267356
082			_a004.165 _bZHO
100			_aZhou, Hong _99098
245			_aLearn data mining through excel: _ba step by step approach for understanding machine learning methods
260			_bApress  _aUSA _c2021
300			_axvi, 219 p.
365			_aINR _b799.00
504			_aExcel and Data Mining Hong Zhou Pages 1-19 Linear Regression Hong Zhou Pages 21-34 K-Means Clustering Hong Zhou Pages 35-47 Linear Discriminant Analysis Hong Zhou Pages 49-66 Cross-Validation and ROC Hong Zhou Pages 67-81 Logistic Regression Hong Zhou Pages 83-92 K-Nearest Neighbors Hong Zhou Pages 93-108 Naïve Bayes Classification Hong Zhou Pages 109-123 Decision Trees Hong Zhou Pages 125-148 Association Analysis Hong Zhou Pages 149-161 Artificial Neural Network Hong Zhou Pages 163-187 Text Mining Hong Zhou Pages 189-209 After Excel
520			_aAbout this book 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 inside the data. What You Will Learn Comprehend data mining using a visual step-by-step approach Build on a theoretical introduction of a data mining method, followed by an Excel implementation Unveil the mystery behind machine learning algorithms, making a complex topic accessible to everyone Become skilled in creative uses of Excel formulas and functions Obtain hands-on experience with data mining and Excel Who This Book Is For Anyone who is interested in learning data mining or machine learning, especially data science visual learners and people skilled in Excel, who would like to explore data science topics and/or expand their Excel skills. A basic or beginner level understanding of Excel is recommended.
650			_aMicrosoft software _910730
650			_aData mining _9365
942			_2ddc _cBK