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所在平台: Udemy |
课程主页: https://www.udemy.com/course/building-machine-learning-web-apps-with-python/
课程评论：没有评论
课程名称：使用Python构建机器学习Web应用程序 课程概述： 本课程旨在探讨人工智能（AI）和机器学习（ML）对我们生活和社会的深远影响。如今，谷歌、亚马逊、Netflix、优步、Facebook等众多行业都在产品中应用AI和ML模型，提供了众多机会。您是否希望能够构建自己的机器学习模型？是否希望将您花费时间创建的ML模型转化为有用的应用，并为他人提供帮助，创造价值？在这门课程中，我们将探索将机器学习模型转化为实际Web应用和产品的各种方法。课程不仅会教授模型构建，还会深入到如何将这些模型转变为可供客户和用户使用的产品。我们将为人工智能和机器学习模型添加简单的用户界面。每个部分都会让您掌握新技能，提升对这一重要数据科学和机器学习子领域的理解。课程内容生动有趣，同时深入探讨机器学习Web应用的构建。 您将在本课程中收获： - 如何本地设置您的数据科学和机器学习工作环境 - 如何构建机器学习模型 - 如何使用Eli5解释ML模型 - 如何序列化和保存ML模型 - 如何使用我们创建的模型构建ML Web应用 - 如何从您的ML模型构建软件包 - 如何部署您的产品等 加入我们，一起探索构建机器学习应用和工具的世界！
Course DescriptionArtificial Intelligence and Machine Learning is affecting every area of our lives and society. Google, Amazon, Netflix, Uber, Facebook and many more industries are using AI and ML models in their products. The opportunities and advantages of Machine Learning is quite numerous. What if you could also build your own machine learning models?What if you can build something useful from the ML model you have spend time creating and make some profit whiles helping people and changing the world?In this wonderful course, we will be exploring the various ways of converting your machine learning models into useful web applications and products.We will move beyond just building machine learning models into build products from our ML Models.Products that you can give to your customers and other users to benefit from. We will be adding simple UI to our AI and ML models.With every section of the course you will develop new skills and improve your understanding of this challenging yet important sub-field of Data Science and Machine Learning.This course is unscripted,fun and exciting but at the same time we dive deep into building Machine Learning web applications.What You will Gain in this CourseIn this course you will develop new skills as you learn: how to setup your Data Science and ML work-space locally. how to build machine learning models. how to interpret ML models with Eli5. how to serialize and save ML models. how to build ML web apps using the models we have created. how to build packages from your ML Models. how to deploy your products. etcJoin us as we explore the world of building Machine Learning apps and tools.
