Placeholder Image

Subtitles section Play video

  • Welcome to machine learning.

  • What is machine learning?

  • You probably use it many times a day without even knowing it.

  • Anytime you want to find out something like, how do I make a sushi roll?

  • You can do a web search on Google, Bing, or Baidu to find out.

  • That works so well because the machine learning software has figured out how to rank web pages.

  • Or when you upload pictures to Instagram or Snapchat, and think to yourself, I want to tag my friends so they can see their pictures.

  • Well, these apps can recognize your friends in your pictures and label them as well.

  • That's also machine learning.

  • Or if you've just finished watching a Star Wars movie on the video streaming service, and you think, what are the similar movies that I watch?

  • Well, the streaming service will likely use machine learning to recommend something that you might like.

  • Each time you use voice to text on your phone to write a text message, Hey Andrew, how's it going?

  • Or tell your phone, Hey Siri, play a song by Rihanna.

  • Or ask your other phone, Okay Google, show me Indian restaurants near me.

  • That's also machine learning.

  • Each time you receive an email titled, Congratulations, you've won a million dollars.

  • Well, maybe you're rich, congratulations.

  • Or more likely your email service will probably flag it as spam.

  • That too is an application of machine learning.

  • Beyond consumer applications that you might use, AI is also rapidly making its way into big companies and into industrial applications.

  • For example, I'm deeply concerned about climate change, and I'm glad to see that machine learning is already hoping to optimize wind turbine power generation.

  • Or in healthcare, it's starting to make its way into hospitals to help doctors make accurate diagnoses.

  • Or recently at Learning AI, I've been doing a lot of work putting computer vision into factories to help inspect if something coming off the assembly line has any defects.

  • That's machine learning.

  • It's a science of getting computers to learn without being explicitly programmed.

  • In this class, you learn about machine learning and get to implement machine learning in code yourself.

  • Millions of others have taken the earlier version of this course, which is a course that led to the founding of Coursera.

  • And many learners ended up building exciting machine learning systems or even pursuing very successful careers in AI.

  • I'm excited that you're on this journey with me.

  • Welcome, and let's get started.

Welcome to machine learning.

Subtitles and vocabulary

Click the word to look it up Click the word to find further inforamtion about it