LII:Data Science: Machine Learning - Revision history

Shawndouglas: Updated

2024-05-13T14:22:11Z

Updated

← Older revision		Revision as of 14:22, 13 May 2024
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	'''Publication date''': 2024		'''Publication date''': 2024

	This is a Harvard University-created course that is released on the edX platform. The introductory eight-week course will have you "learn popular machine learning algorithms, principal component analysis, and regularization by building a movie recommendation system." The course is free to take. A verified certificate of completion, as part of Harvard's Data Science Professional Certificate Program, is available afterwards for $149 USD. The session started on ~~January 2~~, 2024 and ends on ~~June 19~~. Enrollment for the free Audit track ends ~~February 27~~. An additional session begins on ~~April 17~~.		This is a Harvard University-created course that is released on the edX platform. The introductory eight-week course will have you "learn popular machine learning algorithms, principal component analysis, and regularization by building a movie recommendation system." The course is free to take. A verified certificate of completion, as part of Harvard's Data Science Professional Certificate Program, is available afterwards for $149 USD. The session started on April 17, 2024 and ends on December 18. Enrollment for the free Audit track ends July 8. An additional session begins on October 16.

	The edX course description:		The edX course description:
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	===The course===		===The course===
	[[File:PDF.png\|40px\|link=https://www.edx.org/learn/machine-learning/harvard-university-data-science-machine-learning]]: The course can be found on the edX site, under the [https://www.edx.org/learn/machine-learning/harvard-university-data-science-machine-learning Data Analysis] category. The session started on ~~January 2~~, 2024 and ends on ~~June 19~~. Enrollment for the free Audit track ends ~~February 27~~. An additional session begins on ~~April 17~~.		[[File:PDF.png\|40px\|link=https://www.edx.org/learn/machine-learning/harvard-university-data-science-machine-learning]]: The course can be found on the edX site, under the [https://www.edx.org/learn/machine-learning/harvard-university-data-science-machine-learning Data Analysis] category. The session started on April 17, 2024 and ends on December 18. Enrollment for the free Audit track ends July 8. An additional session begins on October 16.

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	[[Category:LII:Courses]]		[[Category:LII:Courses]]

Shawndouglas: Updated

2024-01-02T16:26:30Z

Updated

← Older revision		Revision as of 16:26, 2 January 2024
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	'''License for content''': Unknown		'''License for content''': Unknown

	'''Publication date''': ~~2023~~		'''Publication date''': 2024

	This is a Harvard University-created course that is released on the edX platform. The introductory eight-week course will have you "learn popular machine learning algorithms, principal component analysis, and regularization by building a movie recommendation system." The course is free to take. A verified certificate of completion, as part of Harvard's Data Science Professional Certificate Program, is available afterwards for $149 USD. ~~(Note that~~ the Audit track ~~expires December 18, 2023~~.)		This is a Harvard University-created course that is released on the edX platform. The introductory eight-week course will have you "learn popular machine learning algorithms, principal component analysis, and regularization by building a movie recommendation system." The course is free to take. A verified certificate of completion, as part of Harvard's Data Science Professional Certificate Program, is available afterwards for $149 USD. The session started on January 2, 2024 and ends on June 19. Enrollment for the free Audit track ends February 27. An additional session begins on April 17.

	The edX course description:		The edX course description:
Line 35:		Line 35:

	===The course===		===The course===
	[[File:PDF.png\|40px\|link=https://www.edx.org/learn/machine-learning/harvard-university-data-science-machine-learning]]: The course can be found on the edX site, under the [https://www.edx.org/~~course~~/~~introduction~~-to-machine-learning Data Analysis] category. The session started ~~in the autumn of 2023~~, and ~~enrollment~~ for the free Audit track ends ~~December 18~~.		[[File:PDF.png\|40px\|link=https://www.edx.org/learn/machine-learning/harvard-university-data-science-machine-learning]]: The course can be found on the edX site, under the [https://www.edx.org/learn/machine-learning/harvard-university-data-science-machine-learning Data Analysis] category. The session started on January 2, 2024 and ends on June 19. Enrollment for the free Audit track ends February 27. An additional session begins on April 17.

	<!--Place all category tags here-->		<!--Place all category tags here-->
	[[Category:LII:Courses]]		[[Category:LII:Courses]]

Shawndouglas: Created as needed.

2023-10-23T17:43:42Z

Created as needed.

New page

[[File:EdX.svg|right|240px]]
'''Title''': ''Data Science: Machine Learning''

'''Author for citation''': Rafael Irizarry

'''License for content''': Unknown

'''Publication date''': 2023

This is a Harvard University-created course that is released on the edX platform. The introductory eight-week course will have you "learn popular machine learning algorithms, principal component analysis, and regularization by building a movie recommendation system." The course is free to take. A verified certificate of completion, as part of Harvard's Data Science Professional Certificate Program, is available afterwards for $149 USD. (Note that the Audit track expires December 18, 2023.)

The edX course description:

"Perhaps the most popular data science methodologies come from machine learning. What distinguishes machine learning from other computer guided decision processes is that it builds prediction algorithms using data. Some of the most popular products that use machine learning include the handwriting readers implemented by the postal service, speech recognition, movie recommendation systems, and spam detectors.

In this course,part of our Professional Certificate Program in Data Science, you will learn popular machine learning algorithms, principal component analysis, and regularization by building a movie recommendation system.

You will learn about training data, and how to use a set of data to discover potentially predictive relationships. As you build the movie recommendation system, you will learn how to train algorithms using training data so you can predict the outcome for future datasets. You will also learn about overtraining and techniques to avoid it such as cross-validation. All of these skills are fundamental to machine learning."

"What you'll learn:

* The basics of machine learning
* How to perform cross-validation to avoid overtraining
* Several popular machine learning algorithms
* How to build a recommendation system
* What is regularization and why it is useful?

'''About the authors'''

The course is taught by Rafael Irizarry, Professor of Biostatistics at Harvard University. "For the past 15 years, Dr. Irizarry’s research has focused on the analysis of genomics data. During this time, he has also has taught several classes, all related to applied statistics. Dr. Irizarry is one of the founders of the Bioconductor Project, an open source and open development software project for the analysis of genomic data."

==General layout and contents of the course==
No formal syllabus is provided on the course welcome page.

===The course===
[[File:PDF.png|40px|link=https://www.edx.org/learn/machine-learning/harvard-university-data-science-machine-learning]]: The course can be found on the edX site, under the [https://www.edx.org/course/introduction-to-machine-learning Data Analysis] category. The session started in the autumn of 2023, and enrollment for the free Audit track ends December 18.


[[Category:LII:Courses]]