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Description
A self-study guide for aspiring machine learning practitioners. Machine Learning Crash Course features a series of lessons with video lectures, real-world case studies, and hands-on practice exercises.
Some of the questions answered in this course:
- Learn best practices from Google experts on key machine learning concepts.
- How does machine learning differ from traditional programming?
- What is loss, and how do I measure it?
- How does gradient descent work?
- How do I determine whether my model is effective?
- How do I represent my data so that a program can learn from it?
- How do I build a deep neural network?
Online Courses 
Independent
Free 
15 hours 
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TypeOnline Courses
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ProviderIndependent
-
PricingFree
-
Duration15 hours
A self-study guide for aspiring machine learning practitioners. Machine Learning Crash Course features a series of lessons with video lectures, real-world case studies, and hands-on practice exercises.
Some of the questions answered in this course:
- Learn best practices from Google experts on key machine learning concepts.
- How does machine learning differ from traditional programming?
- What is loss, and how do I measure it?
- How does gradient descent work?
- How do I determine whether my model is effective?
- How do I represent my data so that a program can learn from it?
- How do I build a deep neural network?
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