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所在平台: Udemy |
课程主页: https://www.udemy.com/course/machine-learning-no-code-approach-using-azure-ml-studio/
课程评论：没有评论
课程名称：无编码的机器学习方法：使用Azure ML Studio 课程概述：机器学习是当今商业环境中最受欢迎的技术技能，然而，很多时候只有具备编程能力的专业人士才能使用它。但微软的Azure机器学习工作室改变了这一现状，提供了一个简单易用的拖放环境，让任何人都可以使用。尽管Azure ML Studio易于使用，但如果你对机器学习的基础知识不了解，就难以充分利用这个工具。课程的目标之一是为学员提供机器学习的基础知识，让他们不仅能流利讨论机器学习，还能实际应用，以满足商业需求。 该课程将指导学员完成构建监督学习预测模型的所有步骤，适用于分类（如“批准”或“未批准”）和回归（如“工资”或“价格”）任务。课程只需具备基本的数学知识，如基本运算和求平均数的能力，同时有一定的Microsoft Excel经验会更为有利，因为我们将在模型部署时使用Excel进行演示。 课程设计针对没有编码背景的技术人员，采用“无编码方法”，非常注重实践，让学员在学习的同时开发自己的模型。课程内容包括： - 主要三种机器学习算法的基础知识 - 深入讲解监督学习 - 使用泰坦尼克数据集进行分类 - 理解和选择数据集中的特征 - 修改特征的元数据以更好地与机器学习算法配合 - 数据集的划分 - 选择算法 - 训练、评分和评估模型 - 使用墨尔本房地产数据集进行回归 - 清洗缺失数据 - 数据的分层处理 - 调节超参数 - 将模型部署到Excel - 提供网络服务详情，便于与外部系统集成 - Azure ML快速参考表 课程还包括4个作业及其解决方案，给学员提供额外的机会来练习新获得的机器学习技能。完成课程后，学员将能够使用自己的数据集帮助公司进行数据预测，或者如果你想让老板印象深刻，展示你新掌握的工具。 如果你不是编码人员，以为自己无法参与机器学习的浪潮，那就想得太简单了。你不仅能够加入这一领域，更能掌握它，成为使用Azure ML Studio的机器学习英雄。今天就报名参加，我在课程中等你！
Machine Learning is the most in demand technical skill in today's business environment. Most of the time though it is reserved for professionals that know how to code. But Microsoft Azure Machine Learning Studio changed that. It brings a drag-n-drop easy to use environment to anyone's fingertips. Microsoft is known for its easy-of-use tools and Azure ML Studio is no different.However, as easy as Azure ML Studio is, if you don't know Machine Learning, at least the basics, you won't be able to do much with the tool. This is one of the goals of this course: To give you the foundational understanding about Machine Learning. You will get the base knowledge required to not only talk proficiently about ML, but also to put it into action and execute on business needs.We will go through all the steps necessary to put together a Supervised Learning prediction model, whether you need Classification (for discrete values like "Approved" or "Nor Approved") or Regression (for continuous values like "Salary" or "Price").The course will only require you to have basic knowledge of math including the basic operations and how to calculate average. Some exposure to Microsoft Excel would be good as during deployment of the live model, we will be using Excel to perform demonstrations.This course has been designed keeping in mind technologists with no coding background as we use a "no-code approach". It is very hands-on, and you will be able to develop your own models while learning. We will cover:- Basics of the main three main types of Machine Learning Algorithms- Supervised Learning in depth- Classification by using the Titanic Dataset- Understanding and selecting the features from the dataset- Changing the metadata of features to work better with ML Algorithms- Splitting the data- Selecting the Algorithm- Training, scoring, and evaluating the model- Regression by using the Melbourne Real Estate Dataset- Cleaning missing data- Stratifying the data- Tuning hyperparameters- Deploying the models to a Excel- Providing web service details to developers in case you want to integrate with external systems- Azure ML Cheat SheetThe course also includes 4 assignments with solutions that will give you an extra chance to practice your newly acquired Machine Learning skills.In the end you will be able to use your own datasets to help your company with data prediction or, if you just want to impress the boss, you will be able to show the new tool you have just added to your toolbelt.If you are not a coder and thought there would be no place for you to ride the Machine Learning wave, think again. You can not only be part of it, but you can master it and become a Machine Learning hero with Azure ML Studio.Enroll today and I will see you inside!
