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所在平台: Udemy |
课程主页: https://www.udemy.com/course/libraries-in-python-for-aiml-data-science/
课程评论：没有评论
**课程名称：Python在人工智能、机器学习和数据科学中的库** **课程概述：** 本课程旨在帮助您掌握人工智能和机器学习领域的核心工具。人工智能在处理大量数据及其应用方面发挥着关键作用。面对海量的数据科学工具、框架和库，了解何时以及如何使用它们至关重要。本课程侧重于基础的人工智能工具，帮助您通过实践获得这些知识。 **主要课程内容：** * Pandas 与 NumPy * Matplotlib 与 Seaborn * Scikit-learn 与 SciPy * 探索性数据分析 **学习目标：** 成为一名成功的数据科学家或开发者，掌握上述库是必不可少的。这些AI库将助力您构建可靠的AI项目。在课程中，您将学习如何利用这些工具进行数据可视化，以及如何为AI和机器学习项目准备数据集。 您还将学习如何从零开始使用这些工具构建项目。课程内容包括如何验证AI模型和解释模型。课程将结合实际案例，帮助您高效掌握所有工具的特性。 **立即开始您的AI专家之旅！**
Do you want to learn the most important tools of Artificial intelligence and Machine Learning? Then we've got a perfectly designed course for you.Artificial Intelligence has enabled the processing of a large number of data and its use in the domain. There are several tools, frameworks, and libraries available to data scientists and developers, but knowing when and how to use these tools is a must. This course on basic artificial intelligence tools will help you gain this knowledge practically.Major Topics This Course CoversPandas and NumPyMatplotlib and SeabornScikit Learn and ScipyExploratory Data AnalysisTo become a successful data scientist or developer, you need to master these above libraries. These AI libraries will help you build reliable AI projects. In this course, you'll learn how to use these tools to visualize data and prepare data sets for AI and machine learning projects.You'll also learn how to use these tools to build projects from scratch. In this course, we'll be covering topics that will help you learn how to validate AI models and interpret models. The course curriculum features real examples that will help you learn all the tool features efficiently.So why are you waiting now? Start your journey to become a complete AI specialist with this course!See You In Class!
