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所在平台: Udemy |
课程主页: https://www.udemy.com/course/executive-briefing-data-science-and-machine-learning/
课程评论：没有评论
课程名称：高管简报 - 数据科学与机器学习 课程概述：欢迎参加这门非技术性的高管培训！这门专为希望高层次了解数据科学和机器学习关键主题的学员设计的课程，旨在无需学习编码或处理复杂数学内容的情况下，掌握数据科学和机器学习的基础知识。课程将帮助您理解高质量数据的基本要素，使您能够辨识数据适合分析和机器学习的特征。 课程内容包括重要的统计学主题，例如均值、标准差及正态分布的快速概述。此外，您将学习数据科学家如何可视化数据，以清晰地传达他们的想法。掌握数据、统计和可视化的基础后，课程将探索机器学习提供的精彩机会。您将了解机器学习过程，包括数据获取、数据清洗，以及监督学习遵循的训练/测试分割理念。课程还会展示一些回归和分类算法的实例，以及如何评估这些算法的结果。 在理解回归和分类之后，您将学习聚类技术，例如KMeans算法，以及降维方法，如主成分分析。让我们开始您在数据科学和机器学习领域的第一步旅程吧！立即注册，我们在课程中见！
Welcome to this non-technical training for executives!This exclusive Udemy for Business training is designed to give you a high level overview of the key topics in Data Science and Machine Learning. Designed exclusively for students who want to learn about the basics of data science and machine learning at a high level, without needing to learn how to code or cover complex mathematics.In this course you'll learn the fundamentals to high quality data, allowing you to understand what makes data suitable for analysis and machine learning. Then we'll give you a quick overview of important statistical topics, such as mean, standard deviation, and the normal distribution. Afterwards you will learn the different ways data scientists are able to visualize data to convey their ideas in a clear manner.Once we've learned the basics of data, statistics, and visualization we'll explore the amazing opportunities machine learning has to offer. We'll teach you about the machine learning process, acquiring data, cleaning data, and an overview of the train/test split philosophy that supervised learning adheres to. Then we'll show you some examples of regression and classification algorithms, as well as how to evaluate their results.Once we understand regression and classification, we'll teach you about clustering techniques such as KMeans algorithm and dimensionality reduction methods like Principal Component Analysis.Let's being your first steps into data science and machine learning! Enroll today and we'll see you inside the course!
