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Ji qi xue xi he AI jing cui.
机器学习和AI精粹.
Detailed summary in vernacular field.
| Clasificación: | Libro Electrónico |
|---|---|
| Formato: | Electrónico Video |
| Idioma: | Chino Inglés |
| Publicado: |
[Place of publication not identified] :
Pearson,
2018.
|
| Edición: | [First edition]. |
| Colección: | LiveLessons (Indianapolis, Ind.)
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
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| 130 | 0 | |a Essential machine learning and AI with Python and Jupyter Notebook (Motion picture). |l Chinese. | |
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| 264 | 1 | |a [Place of publication not identified] : |b Pearson, |c 2018. | |
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| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 2 | |a Artificial Intelligence | |
| 650 | 6 | |a Apprentissage automatique. | |
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| 880 | 1 | 0 | |6 245-01/$1 |a 机器学习和AI精粹. |
| 880 | |6 520-02/$1 |a 课程简介 超过8小时的视频课程展示了如何使用AWS和谷歌云平台来解决机器学习和人工智能中的本质问题。本课程涵盖了如何通过Jupyter笔记本开始使用Python，然后继续深入到Python数据科学库中的各种具体细节，包括Pandas, Seaborn, scikit-learn和TensorFlow。 EDA，即探索性数据分析，是机器学习的核心。为此本课程还重点介绍了如何在Python和Jupyter笔记本中执行EDA。除此之外，也会将软件工程基础知识与课程内容做关联教学，并提供关于linting、测试、命令行工具、数据工程api等方面的关键性说明。 Get技能 介绍机器学习的数据科学概念和Python基础 如何使用Flask、Pandas开发一个数据工程API 了解EDA 掌握基于Python的AWS、Google Cloud Platform开发. | ||
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