Welcome to Day 3 of DailyAIWizard, your 20-minute journey to mastering AI! In this beginner-friendly lesson, I’m Anastasia, your AI guide, and we’ll explore the differences between Artificial Intelligence, Machine Learning, and Deep Learning. Sophia joins us for a demo using Google’s Teachable Machine to classify cats and dogs, showing Machine Learning in action! Whether you're new to AI or building on Days 1 and 2, this series will guide you from the fundamentals to Python programming. Let’s dive in!
Task of the Day: Try Google’s Teachable Machine yourself—train it to classify something simple (like cats and dogs) and share your results in the comments!
Google Teachable Machine: teachablemachine.withgoogle.com/
Learn More: Visit wisdomacademy.ai for additional resources and to join our AI learning community. Subscribe for Daily Lessons: Don’t miss Day 4, where we’ll dive into How Machine Learning Works. Hit the bell to stay updated!
00:00Welcome to Day 3 of Daily AI Wizard, your 20-minute journey to mastering AI.
00:10I'm Anastasia, your AI guide, here to make learning AI simple and fun.
00:15Today, we're comparing three big concepts, AI, machine learning, and deep learning.
00:21We'll explore what they are, how they're related, and how they differ,
00:25with some exciting examples along the way.
00:28Let's get started.
00:30Before we dive in, let's recap Day 2.
00:39We explored the three types of AI, narrow, general, and superintelligent.
00:44Narrow AI is specialized and exists today, like ChatGPT, which Sophia showed us.
00:51General AI aims to be human-like but is still in research.
00:55Superintelligent AI would surpass humans, but it's a future possibility.
01:00I hope you shared which type excites you most in the comments.
01:04Now, let's move on to today's topic.
01:13Today, we'll cover a lot of ground.
01:15We'll start by defining AI, machine learning, and deep learning, then see how they're related.
01:21We'll explore their key differences with examples to make things clear.
01:26Plus, Sophia will join us for a demo showing a machine learning application in action.
01:31This lesson will help you understand the building blocks of AI, so let's begin.
01:42Let's start with AI, which we touched on in Day 1.
01:45Artificial intelligence, or AI, is when machines mimic human intelligence.
01:51It's a broad field that includes abilities like learning, reasoning, and problem solving.
01:57Think of AI as the big picture of intelligent systems, covering everything from chatbots like me to self-driving cars.
02:06AI is the overarching goal of creating machines that can think and act like humans, and it encompasses many techniques, including the ones we'll talk about today.
02:23Now, let's zoom in on machine learning, or ML, which is a subset of AI.
02:29Machine learning is when machines learn from data without being explicitly programmed.
02:34Instead of writing rules for every scenario, we give ML systems data, and they figure out patterns on their own.
02:42For example, email spam filters learn from your emails to decide what's spam and what's not.
02:49Machine learning powers many AI applications today, making it a key part of the AI world.
02:59Machine learning comes in three main types, each suited for different tasks.
03:06First, supervised learning uses labeled data, like teaching a child with examples.
03:13Second, unsupervised learning works with unlabeled data, finding patterns on its own.
03:20Third, reinforcement learning learns through rewards, like training a dog with treats.
03:25We'll dive deeper into these types in future lessons, but for now, know that they're the building blocks of machine learning, helping AI systems learn in different ways.
03:36Next, we have deep learning, or DL, which is a subset of machine learning.
03:49Deep learning uses neural networks, structures inspired by the human brain, with many layers to process data.
03:56For example, deep learning powers image recognition, like identifying cats in photos.
04:04It's incredibly powerful, but requires lots of data and computing power to work well.
04:10Deep learning is behind many advanced AI applications today, taking machine learning to the next level.
04:16So, how are AI, machine learning, and deep learning related?
04:27Think of AI as the big umbrella.
04:30It's the broad field of creating intelligent machines.
04:34Machine learning is a subset of AI, focusing on learning from data.
04:38Deep learning is a subset of machine learning, using neural networks for more complex tasks.
04:46Each layer builds on the previous one, making AI a family of techniques that work together to create smart systems.
04:54Let's compare AI, machine learning, and deep learning by their scope.
05:05AI is the broadest.
05:07It includes all intelligent systems, from simple rules to advanced learning.
05:13Machine learning is narrower, focusing on data-driven learning without explicit programming.
05:18Deep learning is even narrower, relying on neural networks for specific, complex tasks.
05:25The scope narrows as we go deeper, but each level adds more power and complexity to what machines can do.
05:38Another key difference is data and computing needs.
05:42AI varies.
05:43It can use simple rules or learning, so its needs depend on the method.
05:48Machine learning needs data to learn and moderate computing power, like for spam filtering.
05:54Deep learning, however, requires lots of data and high computing power.
05:59Think of image recognition, where it processes millions of images to learn.
06:05The more advanced the technique, the more resources it demands, which is why deep learning often needs powerful machines.
06:14Let's look at examples to see the differences in action.
06:21AI includes complex systems like self-driving cars, which combine many techniques to work.
06:29Machine learning powers recommendation systems, like Netflix suggesting shows based on your viewing habits.
06:36Deep learning excels in tasks like voice recognition.
06:40Think of Alexa understanding your commands.
06:43Each approach shines in different areas, showing how they complement each other within the AI family.
06:55To see machine learning in action, let's bring in Sophia for a quick demo.
06:59She'll use Google's Teachable Machine, a free tool to show how machine learning can classify images, like telling cats from dogs.
07:10This will give you a hands-on look at how ML works. Over to you Sophia.
07:15Hi, I'm Sophia, your demo guide for Daily AI Wizard.
07:19Today, I'll show you machine learning with Google's Teachable Machine.
07:24I've uploaded some images of cats and dogs to train the model.
