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所在平台: Udemy |
课程主页: https://www.udemy.com/course/document-classification-using-machine-learning/
课程评论：没有评论
**课程名称：** 使用机器学习进行文档分类 **课程概述：** 本课程旨在通过流行的编程语言 Python 和机器学习技术，教授您文档分类的原理和实践。课程适合初学者，将帮助您掌握使用机器学习对文档进行分类的能力。您将学习到： * 文档分类的基础知识 * 机器学习在文档分类中的应用 * 使用 Jupyter Notebook 进行编程 * 使用 Latent Dirichlet Allocation (LDA) 机器学习算法进行文档分类 **为什么学习本课程？** 文档分类是一项非常强大且实用的技能，能够帮助您在信息检索、情感分析和文档标注等领域脱颖而出。Python 和 Jupyter Notebook 是免费、易学且文档完善的工具。机器学习领域就业机会众多，掌握文档分类将为您在这一高需求领域带来显著优势。 * **应用广泛：** 谷歌、Facebook、微软等大型公司已广泛应用机器学习和文档分类技术，显著提升了生产力。 * **入门友好：** 课程以直观的视觉化教学方式，将复杂的概念分解为简单的步骤，帮助您快速掌握。 * **实战导向：** 您将跟随专业讲师，一步步构建文档分类应用，并通过挑战和解决方案巩固所学。 **课程内容：** * 文档分类入门 * 机器学习入门 * 使用 LDA 构建文档分类应用（分步教学） * 调整 LDA 模型准确率 * LDA 模型变体介绍 * LDA 模型用例分析 **您将获得：** * 专业讲师的指导，在家学习文档分类和机器学习编程。 * 超过 10 场教学讲座。 * 适用于初学者的视觉化、循序渐进的学习方法。 * 通过挑战和解决方案加深对概念的理解。 **请注意：** 本课程以短文档为例进行概念说明，但所学代码同样适用于长文档。
Course DescriptionLearn the document classification with the machine learning and popular programming language Python.Build a strong foundation in Machine Learning with this tutorial for beginners.Understanding of document classificationLeverage Machine Learning to classify documentsUser Jupyter Notebook for programmingUse Latent Dirichlet Allocation Machine Learning Algorithm for document classificationA Powerful Skill at Your Fingertips Learning the fundamentals of document classification puts a powerful and very useful tool at your fingertips. Python and Jupyter are free, easy to learn, has excellent documentation.Jobs in machine learning area are plentiful, and being able to learn document classification with machine learning will give you a strong edge.Machine Learning is becoming very popular. Alexa, Siri, IBM Deep Blue and Watson are some famous example of Machine Learning application. Document classification is vital in information retrieval, sentiment analysis and document annotation. Learning document classification with machine learning will help you become a machine learning developer which is in high demand.Big companies like Google, Facebook, Microsoft, AirBnB and Linked In already using document classification with machine learning in information retrieval and social platforms. They claimed that using Machine Learning and document classification has boosted productivity of entire company significantly.Content and Overview This course teaches you on how to build document classification using open source Python and Jupyter framework. You will work along with me step by step to build following answersIntroduction to document classification.Introduction to Machine LearningBuild an application step by step using LDA to classify documentsTune the accuracy of LDA modelLearn variation of LDA modelLearn use cases of LDA modelWhat am I going to get from this course?Learn document classification and Machine Learning programming from professional trainer from your own desk.Over 10 lectures teaching you document classification programmingSuitable for beginner programmers and ideal for users who learn faster when shown.Visual training method, offering users increased retention and accelerated learning.Breaks even the most complex applications down into simplistic steps.Offers challenges to students to enable reinforcement of concepts. Also solutions are described to validate the challenges.Note: Please note that I am using short documents in this example to illustrate concepts. You can use same code for longer documents as well.
