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Learner Reviews & Feedback for Fundamentals of Machine Learning for Healthcare by Stanford University

4.8
stars
519 ratings

About the Course

Machine learning and artificial intelligence hold the potential to transform healthcare and open up a world of incredible promise. But we will never realize the potential of these technologies unless all stakeholders have basic competencies in both healthcare and machine learning concepts and principles. This course will introduce the fundamental concepts and principles of machine learning as it applies to medicine and healthcare. We will explore machine learning approaches, medical use cases, metrics unique to healthcare, as well as best practices for designing, building, and evaluating machine learning applications in healthcare. The course will empower those with non-engineering backgrounds in healthcare, health policy, pharmaceutical development, as well as data science with the knowledge to critically evaluate and use these technologies. Co-author: Geoffrey Angus Contributing Editors: Mars Huang Jin Long Shannon Crawford Oge Marques In support of improving patient care, Stanford Medicine is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team. Visit the FAQs below for important information regarding 1) Date of the original release and expiration date; 2) Accreditation and Credit Designation statements; 3) Disclosure of financial relationships for every person in control of activity content....

Top reviews

QB

Jul 22, 2023

This course will give you the complete information that is required by a beginner. Best if you want help to start working on ML project related to healthcare in beginning of your career.

AJ

Sep 9, 2020

Amazing course teaching the innumerous opportunities in the healthcare sector and the application of AI in the same. Beautifully drafted course with intriguing tutorials and exercises.

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76 - 100 of 128 Reviews for Fundamentals of Machine Learning for Healthcare

By Noe F

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Oct 27, 2023

Phenomenal Healthcare AI and ML Instructors and engaging course content.

By Kedir O

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Jul 30, 2022

The most precise and concise lecture ever in regading machine learning!

By Shanthi C

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Mar 24, 2024

Very impressively structured teaching progarmme for beginners like me

By Scott L

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Nov 6, 2022

One of the best courses I've taken in this subject area. Loved it.

By NADY E B

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Dec 6, 2020

A bit too technical yet very interesting. Excellent course. Thanks!

By Balu P

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Jul 19, 2021

great instructors and all concepts explained in very easy terms

By palash v

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Aug 26, 2023

beautifully illustrated a vast topic in easy and concise form

By blue a

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Dec 20, 2020

Tremendous learning and outstanding presentation of concepts.

By mehdi t

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Dec 2, 2023

Great and comprehensive course with exceptional constructors

By yasir m

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Feb 14, 2023

Great content, wonderful lecturers and a lovely experience

By Andrew M

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Jul 16, 2022

Excellent course; the instructors are particularly good.

By Ann V G

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Oct 3, 2020

An excellent introduction. Concise. Helpful citations.

By Vera S

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Oct 21, 2021

The instructors are both so knowledgeable and adorable!

By Huma P

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Jun 7, 2022

Great explanation of Machine Learning in Healthcare.

By SANKAR B

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Apr 24, 2023

Very user friendly. One of the best online courses.

By Eric A S

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Aug 16, 2023

Brilliant and accessible course, highly recommend!

By Anton L

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Oct 21, 2020

Outstanding team performance by the two lecturers

By Lori S

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Mar 14, 2021

"a labor of love' indeed; wonderful ! thank you!

By Vincent C

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Nov 10, 2021

Amazing Good instructors, i really enjoyed them

By Kim-Leiloni T N

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Oct 8, 2024

Excellent info on how AI impacts healthcare!

By Krishna N

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Dec 5, 2024

Excellent course content and instruction

By Kabakov B

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Oct 6, 2020

101 to ML. Like Ng's book ML Yearning.

By Robert M

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Oct 15, 2022

Superb coverage of a difficult topic

By shailendra j

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Jun 1, 2023

no teaching material for module 7

By Jiameng L

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Sep 27, 2021

Super helpful and engaging course