人工智能和机器学习与R：在商业分析领域的应用
In a VUCA world, which is becoming increasingly volatile, uncertain, and complex, companies, organizations, and states must respond promptly and adequately to the respective situations. Making decisions based on past experiences is less successful in these times than having an accurate understanding of current conditions. The importance of empirical sciences, continuous environmental observation, timely analysis of causal relationships, and deriving new insights from them is increasing. From this, it can be deduced which measures are likely to achieve one's goals with predictable probability, such as which price for an offer generates the desired demand or which marketing measure reaches the desired target group. Where classical statistics were once used for calculations and predictions, today free (open source) tools like R allow data in various formats and from any number of sources to be read in, processed, and analyzed using methods of Artificial Intelligence and Machine Learning. The results can then be perfectly visualized so that decision-makers can benefit quickly and effectively. The age of Data Science has arrived. Digitalization is more than a buzzword or a promise; it is actionable and usable for everyone. This book teaches you, based on the latest version of R at the time of publication, how to use Artificial Intelligence and Machine Learning in Industry 4.0.
英文|2024年9月19日|ISBN-10:3658453915|506页|Epub PDF（真）|53 MB 在一个日益动荡、不确定和复杂的VUCA世界中，公司、组织和国家必须对各自的情况做出迅速和充分的反应。在这个时代，根据过去的经验做出决定比准确了解当前的情况更不成功。实证科学、持续的环境观察、及时分析因果关系以及从中获得新见解的重要性正在增加。由此，可以推断出哪些措施可能以可预测的概率实现目标，例如哪种报价产生了预期的需求，或者哪种营销措施达到了预期的目标群体。在经典统计曾经用于计算和预测的地方，今天像R这样的免费（开源）工具允许使用人工智能和机器学习的方法读取、处理和分析各种格式和来自任何数量来源的数据。然后，结果可以完美地可视化，以便决策者能够快速有效地受益。数据科学的时代已经到来。数字化不仅仅是一个流行语或承诺；它对每个人都是可操作和可用的。本书基于出版时最新版本的R，教你如何在工业4.0中使用人工智能和机器学习。本站不对文件进行储存，仅提供文件链接，请自行下载，本站不对文件内容负责，请自行判断文件是否安全，如发现文件有侵权行为，请联系管理员删除。
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