无需代码的数据科学：掌握高级分析、机器学习和人工智能

English | 2023 | ISBN: B0CQTJXXQM | Pages: 872 | EPUB | 30.52 MB

No-Code Data Science is a revolutionary book that democratizes the application of predictive analytics for organizations of all sizes. This first-of-its-kind textbook book is designed to empower readers with the ability to leverage advanced analytics, machine learning, and AI without using a programming language, such as Python or R. It’s a comprehensive guide to no-code data science (NCDS) that applies free, no-code, and open-source software with Orange visual programming software, JASP, and BlueSky Statistics. A no-shortcuts approach to ML and AI is applied to maximize the accuracy and application potential of predictive models. The NCDS approach is akin to constructing predictive models with pre-made LEGO bricks (visual programming) versus tediously molding shapes from clay (manual coding). A practical how-to approach to predictive modeling is offered while insisting on the rigor of our disciplined NCDS process. Hands-on data exercises are included in the first eleven chapters. QR code links to educational videos are included in most chapters. Data science background is first explored, discussing basic definitions and data scientist skill sets. This is followed by chapters on data preparation, wrangling, and data visualization. Predictive analytics is covered in chapters on machine learning models and model evaluation. Both supervised and unsupervised learning are included in the discourse. Time series forecasting, survival analysis, and geolocation are covered in separate chapters. Artificial intelligence is featured in chapters on image analysis and text mining. Lastly, the potential impact of machine learning and artificial intelligence on Industry 4.0 is covered in the last chapter. A pathway for statisticians, Lean Six Sigma practitioners, and other professionals is offered to learn predictive modeling techniques to enable organizations to successfully pursue Industry 4.0 goals.

《No-Code Data Science》是一本革命性的书籍，它使预测分析的应用对所有规模的组织变得民主化。这本独一无二的教科书旨在通过不使用编程语言如Python或R来赋能读者利用高级分析、机器学习和AI。 这本书全面介绍了无代码数据科学（NCDS），运用了Orange视觉编程软件、JASP以及BlueSky统计学中的免费、无需代码且开源的软件。ML和AI的方法被应用，以最大程度地提高预测模型的准确性和应用潜力。 NCDS方法类似于使用预制乐高积木构建预测模型，而不是费力地用泥土手工塑形。它提供了一个实用的预测建模指南，同时坚持我们严谨的NCDS流程的要求。书中包括了前11章的数据实践练习，大多数章节中还包括了QR码链接到教育视频。 首先探讨数据科学背景，讨论基本定义和数据科学家技能。随后是关于数据准备、清洗以及数据可视化的章节。在机器学习模型和模型评估章节中涵盖了预测分析的内容。无监督学习也被包含其中。单独的章节包括时间序列预测、生存分析和地理定位。图像分析和文本挖掘章节中包含了AI的特点。最后，最后一章探讨了机器学习和人工智能对工业4.0可能产生的影响。书中还提供了一条路径供统计学家、精益六西格玛实践者及其他专业人士来学习预测建模技巧，以使组织能够成功追求工业4.0的目标。

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