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Andrew Ng announces updated version of his popular ML Specialization Course
Andrew Ng announces updated version of his popular ML Specialization Course

Andrew Ng announces updated version of his popular ML Specialization Course

AI pioneer and the founder of DeepLearning.ai and Coursera, Andrew Ng has now announced that he will be teaching a new and updated Machine Learning Specialization course.

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Key takeaways

  • Andrew Ng has announced an updated Machine Learning Specialization course, set to launch in June.
  • The course is a collaboration between Stanford Online and DeepLearning.ai, building on Ng's previous ML offerings.
  • It features an intuitive visual approach to teaching foundational AI concepts before introducing coding and mathematical theory.
  • The curriculum caters to various learners, offering beginner and advanced levels with practical coding exercises and interactive materials.
  • Ng's ML courses are widely regarded as industry gold standards, with many students crediting them for starting their careers in machine learning.
5 min

AI pioneer and the founder of DeepLearning.ai and co-founder of Coursera, Andrew Ng has now announced that he will be teaching a new and updated Machine Learning Specialization course. This course is created jointly by Stanford Online and DeepLearning.ai and is a follow up earlier course on ML specialization by Andrew Ng and will be released in June.

https://twitter.com/AndrewYNg/status/1516090521281724417?s=20&t=MyRTCVQTuxmjRt9dqCOqJg

This course would teach foundational AI concepts through an intuitive visual approach before delving into the code needed to implement the algorithms and their underlying math. The curriculum is further divided into three courses – for beginners, advanced learners who haven’t taken the previous course, and advanced learners who have taken the previous course.

The salient features of this course include no prior knowledge of mathematics or rigorous coding; lessons beginning with visual representations of ML concepts, followed by codes (for beginners); it strikes balance between code practice, mathematical theory, and intuition to create effective learning experience; for advanced learners, it includes ungraded code notebooks with code samples and interactive graphs to help with assignments; Graded assignments and lectures to teach in Python instead of Octave; advice section.

Andrew Ng’s ML courses are considered the gold standard in the industry. A testament to this is the testimonies by students around the world who began their careers in ML with these courses.

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