This course covers the theoretical foundation for different techniques associated with supervised machine learning models. In addition, a business case study is defined to guide participants through all steps of the analytical life cycle, from problem understanding to model deployment, through data preparation, feature selection, model training and validation, and model assessment. A series of demonstrations and exercises is used to reinforce the concepts and the analytical approach to solving business problems.
Machine Learning Using SAS Viya
Machine Learning Using SAS Viya
本课程是 SAS Machine Learning Engineer 专业证书 的一部分
位教师：Jeff Thompson
8,844 人已注册
包含在 中
您将获得的技能
- Data Preprocessing
- Business Analysis
- Random Forest Algorithm
- Artificial Neural Networks
- Decision Tree Learning
- SAS (Software)
- Feature Engineering
- Classification Algorithms
- Model Deployment
- No-Code Development
- Supervised Learning
- Data Analysis
- Predictive Modeling
- Model Evaluation
- Machine Learning
- Statistical Programming
- Applied Machine Learning
要了解的详细信息
可分享的证书
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作业
41 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
积累 Machine Learning 领域的专业知识
本课程是 SAS Machine Learning Engineer 专业证书 专项课程的一部分
在注册此课程时，您还会同时注册此专业证书。
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 通过 SAS 获得可共享的职业证书
该课程共有9个模块
In this module, you meet the instructor and learn about course logistics, such as how to access the software for this course.
涵盖的内容
1个视频4篇阅读材料1个应用程序项目
In this module, you learn how you can meet today's business challenges with machine learning using SAS® Viya®. You start working on the project that runs throughout the course.
涵盖的内容
13个视频17篇阅读材料6个作业3个应用程序项目
In this module, you learn to explore the data and finish preparing the data for analysis. You also learn some general considerations for selecting an algorithm.
涵盖的内容
14个视频12篇阅读材料7个作业7个应用程序项目
In this module, you learn to build decision tree models as well as models based on ensembles, or combinations, of decision trees.
涵盖的内容
23个视频17篇阅读材料11个作业7个应用程序项目
In this module, you learn to build neural network models.
涵盖的内容
19个视频11篇阅读材料6个作业3个应用程序项目
In this module, you learn to build support vector machine models.
涵盖的内容
17个视频7篇阅读材料5个作业4个应用程序项目
In this module, you learn how to select the model that best meets the requirements of your business challenge and put the model into production. You also learn about managing the model over time.
涵盖的内容
17个视频8篇阅读材料6个作业7个应用程序项目
涵盖的内容
2个视频4篇阅读材料1个应用程序项目
涵盖的内容
1个应用程序项目
获得职业证书
将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。
提供方
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状态：免费试用
状态：免费试用
人们为什么选择 Coursera 来帮助自己实现职业发展
Felipe M.
自 2018开始学习的学生
''能够按照自己的速度和节奏学习课程是一次很棒的经历。只要符合自己的时间表和心情，我就可以学习。'
Jennifer J.
自 2020开始学习的学生
''我直接将从课程中学到的概念和技能应用到一个令人兴奋的新工作项目中。'
Larry W.
自 2021开始学习的学生
''如果我的大学不提供我需要的主题课程，Coursera 便是最好的去处之一。'
Chaitanya A.
''学习不仅仅是在工作中做的更好：它远不止于此。Coursera 让我无限制地学习。'
学生评论
4.7
102 条评论
- 5 stars
76.47%
- 4 stars
17.64%
- 3 stars
5.88%
- 2 stars
0%
- 1 star
0%
显示 3/102 个
SS
5
已于 Mar 13, 2020审阅
This is a good course . SAS is the leader in the world of analytics.
KK
4
已于 May 11, 2020审阅
nice course for those who already knew machine learning concepts and wants to learn SAS viya for creating models.
TA
5
已于 Jul 5, 2019审阅
Easy to follow even with limited statistics knowledge.Instructors teach the basics to get you started and best of all the software is included so you can practice.
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When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
更多问题
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