Intro to Machine Learning SVMs and Tricky Data Distributions - Intro to Machine Learning
SVMs and Tricky Data Distributions - Intro to Machine Learning Transcript and Lesson Notes
This video is part of an online course, Intro to Machine Learning. Check out the course here: https://www.udacity.com/course/ud120. This course was designed as part of a program to help you and others become a Data Analy
Quick Summary
This video is part of an online course, Intro to Machine Learning. Check out the course here: https://www.udacity.com/course/ud120. This course was designed as part of a program to help you and others become a Data Analy
Key Takeaways
- Review the core idea: This video is part of an online course, Intro to Machine Learning. Check out the course here: https://www.udacity.com/course/ud120. This course was designed as part of a program to help you and others become a Data Analy
- Understand how machine learning fits into SVMs and Tricky Data Distributions - Intro to Machine Learning.
- Understand how data analysis fits into SVMs and Tricky Data Distributions - Intro to Machine Learning.
- Understand how datasets fits into SVMs and Tricky Data Distributions - Intro to Machine Learning.
- Understand how regressions fits into SVMs and Tricky Data Distributions - Intro to Machine Learning.
Key Concepts
Full Transcript
This video is part of an online course, Intro to Machine Learning. Check out the course here: https://www.udacity.com/course/ud120. This course was designed as part of a program to help you and others become a Data Analyst. You can check out the full details of the program here: https://www.udacity.com/course/nd002.
Lesson FAQs
What is SVMs and Tricky Data Distributions - Intro to Machine Learning about?
This video is part of an online course, Intro to Machine Learning. Check out the course here: https://www.udacity.com/course/ud120. This course was designed as part of a program to help you and others become a Data Analy
What key concepts are covered in this lesson?
The lesson covers machine learning, data analysis, datasets, regressions, outliers.
What should I learn before SVMs and Tricky Data Distributions - Intro to Machine Learning?
Review the previous lessons in Intro to Machine Learning, then use the transcript and key concepts on this page to fill any gaps.
How can I practice after this lesson?
Practice by applying the main concepts: machine learning, data analysis, datasets, regressions.
Does this lesson include a transcript?
Yes. The full transcript is visible on this page in indexable HTML sections.
Is this lesson free?
Yes. CourseHive lessons and courses are available to learn online for free.
