Machine Learning: Algorithms in the Real World 專項課程
Machine Learning Real World Applications. Master techniques for implementing a machine learning project
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您將學到的內容有
Clearly define an ML problem
Survey available data resources and identify potential ML applications
Prepare data for effective ML applications
Take a business need and turn it into a machine learning application
您將獲得的技能
關於此 專項課程
We recommend a background in analytics, math (linear algebra, matrix multiplication), statistics and beginner level python programming.
We recommend a background in analytics, math (linear algebra, matrix multiplication), statistics and beginner level python programming.
此專項課程包含 4 門課程
Introduction to Applied Machine Learning
This course is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this course will introduce you to problem definition and data preparation in a machine learning project.
Machine Learning Algorithms: Supervised Learning Tip to Tail
This course takes you from understanding the fundamentals of a machine learning project. Learners will understand and implement supervised learning techniques on real case studies to analyze business case scenarios where decision trees, k-nearest neighbours and support vector machines are optimally used. Learners will also gain skills to contrast the practical consequences of different data preparation steps and describe common production issues in applied ML.
Data for Machine Learning
This course is all about data and how it is critical to the success of your applied machine learning model. Completing this course will give learners the skills to:
Optimizing Machine Learning Performance
This course synthesizes everything your have learned in the applied machine learning specialization. You will now walk through a complete machine learning project to prepare a machine learning maintenance roadmap. You will understand and analyze how to deal with changing data. You will also be able to identify and interpret potential unintended effects in your project. You will understand and define procedures to operationalize and maintain your applied machine learning model. By the end of this course you will have all the tools and understanding you need to confidently roll out a machine learning project and prepare to optimize it in your business context.
提供方

Alberta Machine Intelligence Institute
The Alberta Machine Intelligence Institute (Amii) is home to some of the world’s top talent in machine intelligence. We’re an Alberta-based
常見問題
完成专项课程后我会获得大学学分吗?
Can I just enroll in a single course?
我可以只注册一门课程吗?
Can I take the course for free?
我可以免费学习课程吗?
此课程是 100% 在线学习吗?是否需要现场参加课程?
完成专项课程需要多长时间?
Do I need to take the courses in a specific order?
Will I earn university credit for completing the Specialization?
完成专项课程后我会获得大学学分吗?
還有其他問題嗎?請訪問 學生幫助中心。