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Machine Learning, AI and Data Science without programming
Rating: 4.3 out of 5(32 ratings)
2,302 students

Machine Learning, AI and Data Science without programming

Learn the concepts of neural networks, cloud, IOT, big data and many more before you start coding in under 1 hour
Created byDomien Van Damme
Last updated 9/2019
English

What you'll learn

  • Understand AI buzzwords
  • Be able to take the first steps in a data science career
  • Talk with people about ML/AI
  • Understand the ML process
  • Understand Artificial Intelligence and Machine Learning articles, videos and courses
  • No coding

Course content

5 sections • 19 lectures • 43m total length

  • Welcome!0:51

    Begin your journey into machine learning and artificial intelligence with this course. Lieberman, a data scientist, speaks to beginners about the power of artificial intelligence and saving your time.

  • Benefits of taking this course0:38
  • Course Overview0:58

    Explore why machine learning, AI, and data science matter, examine their impact and risks, learn key buzzwords, and outline the essential steps of a machine learning project.

Requirements

  • None

Description

You don’t want to code, but you do want to know about Big Data, Artificial Intelligence and Machine Learning? Then this course is for you!

You do want to code and you do want to learn more about Machine Learning, but you don’t know how to start? Then this course is for you!

The goal of this course is to get you as smoothly as possible into the World of Machine Learning. All the buzzwords will now be clear to you. No more confusion about “What’s the difference between Machine Learning and Artificial Intelligence.” No more stress about “This is just too much information. I don’t know where to start”

The topics in this course will make it all clear to you. They are :

  • Part 1 - Welcome

  • Part 2 - Why machine learning?

  • Part 3 - Buzzwords

  • Part 4 - The Machine Learning Process

  • Part 5 - Conclusion

But it does not have to end here. As a bonus, this course includes references to the courses which I find the most interesting. As well as other resources to get you going.


Who this course is for:

  • People who don’t know how to start with ML due to the information overload
  • People who aspire to start with ML, but want to take a no-code approach first
  • People who want to understand ML but don’t want to do it

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