Artificial Intelligence vs Machine Learning Explained

Key Takeaways

have you ever wondered what is the difference between AI machine learning and deep learning these terms get tossed around all the time but what do they really mean and why does it matter today we're going to break it all down so you finally understand what they all mean and how it impacts your life AI generally can mean something like building a machine that can act and think and learn like a human being this can include things like understanding what we're saying or recognizing our faces or even driving cars so here are some specific examples of AI in action that you're probably using every day the first one is virtual assistance so that would be like Siri Alexa or Google assistance they use AI to understand your voice commands and deliver what you're asking for another one is recommendation systems so apps like Netflix or Spotify can recommend movies or music using AI based on your past history third one that you're probably also using a lot is facial recognition a lot of smartphones use AI to unlock your phone just with a simple glance so how do machines actually learn like humans that is where machine learning or ml comes in machine learning is basically a Technique we use where we use a lot of data to teach computers now imagine showing a child different types of fruit this is an apple papaya a banana or an orange this would be called supervised learning a type of machine learning where you guide the computer with labeled data there's also unsupervised learning this is where we give the machine a bunch data and let it discover its own patterns so it's sort of like giving a child a basket of fruit watching them Group by shapes or color okay so that is machine learning there's also deep learning which is a special type of machine learning and this one is inspired by human brain deep learning uses something called neural network which is kind of like interconnected brain cells these networks can learn complex patterns from massive amounts of data and deep learning is behind some of the most powerful AI systems today and the interesting thing about all of this is that even though AI is super powerful it's kind of like looking into a black box so we get the output but we don't necessarily understand how the machine got to the result and this is why sometimes AI makes mistakes and this is called hallucination this is where AI produces unexpected errors or incorrect results and this means that yes AI is very powerful but it's still not perfect quite yet an AI isn't just machine learning or deep learning you can think of AI as an umbrella that covers machine learning deep learning and other fields like natural language processing when you are working on machine learning you are working on AI but remember no single area represents AI as a whole so whether you're talking to Virtual assistants or getting a movie recommendation or simply unlocking your phone AI is all around you and now you understand the difference between AI machine learning and deep learning you can watch this video for the top machine learning salary otherwise YouTube thinks you should watch this one next I'll see you there