Hands-On Machine Learning with Microsoft Excel 2019 (使用 Microsoft Excel 2019 的實用機器學習)
Rodriguez Martino, Julio Cesar
- 出版商: Packt Publishing
- 出版日期: 2019-04-30
- 定價: $1,398
- 售價: 8.0 折 $1,118
- 語言: 英文
- 頁數: 254
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1789345375
- ISBN-13: 9781789345377
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相關分類:
Excel、Machine Learning
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商品描述
We have made huge progress in teaching computers to perform difficult tasks, especially those that are repetitive and time-consuming for humans. Excel users, of all levels, can feel left behind by this innovation wave. The truth is that a large amount of the work needed to develop and use a machine learning model can be done in Excel. The book starts by giving a general introduction to machine learning, making every concept clear and understandable. Then, it shows every step of a machine learning project, from data collection, reading from different data sources, developing models, and visualizing the results using Excel features and offerings. In every chapter, there are several examples and hands-on exercises that will show the reader how to combine Excel functions, add-ins, and connections to databases and to cloud services to reach the desired goal: building a full data analysis flow. Different machine learning models are shown, tailored to the type of data to be analyzed. At the end of the book, the reader is presented with some advanced use cases using Automated Machine Learning, and artificial neural network, which simplifies the analysis task and represents the future of machine learning. |
商品描述(中文翻譯)
「
我們在教導電腦執行困難任務方面取得了巨大進展,尤其是那些對人類來說重複且耗時的任務。Excel使用者,不論程度如何,可能會感到被這股創新浪潮拋在後頭。事實上,開發和使用機器學習模型所需的大部分工作都可以在Excel中完成。
本書首先對機器學習進行了一般性介紹,使每個概念都清晰易懂。然後,它展示了機器學習項目的每一個步驟,從數據收集、從不同數據源讀取、開發模型,到使用Excel的功能和服務可視化結果。每一章節都有多個示例和實踐練習,向讀者展示如何結合Excel函數、附加元件和與數據庫以及雲服務的連接,實現所需目標:構建完整的數據分析流程。書中展示了不同的機器學習模型,根據要分析的數據類型進行調整。
在書的最後,讀者將通過使用自動機器學習和人工神經網絡進行一些高級用例的介紹,這簡化了分析任務,代表著機器學習的未來。
」