Artificial intelligence, if you don't learn it now, it's too late.

📍 AI & ML developers are in high demand, but there aren't enough people to do it..

• Artificial intelligence (AI): Technology that realizes the ability of humans to understand with computer programs
• Machine learning (ML): A field of artificial intelligence, computer algorithms that automatically improve abilities by gaining experience

To sum up artificial intelligence and machine learning in a nutshell, Like humans (or better than humans) It is a computer program and algorithm that solves problems and learns.

Developing artificial intelligence and machine learning means The meaning of being able to produce the same or greater effect as human laborThat's right. Therefore, nowadays, many companies are looking for artificial intelligence (AI) and machine learning (ML) developers.

However, in the midst of these changing times, we are busy, missed out on time, and are unable to develop our capabilities. Everyone, it's really too late if you don't learn even now.

Famous economists and media have already arrived in the era of the Fourth Industrial Revolution, and many of the jobs we know “It will be replaced by AI”I am expressing the opinion. If you're not a machine builder, It probably means I'm being replaced by a machine.

In fact, the search engines and social media services we use a lot better understand me than I do. Often “Even today, the YouTube algorithm led me here..”There is a comment meme, but it's not ridiculous, it's proof that we are really experiencing the greatness of AI.

_{The principles of image processing, starting with AI and ML, are surprisingly simple to learn.}

Your favorite content in the right place referredThis made me spend a lot of money and time, and I took care of difficult English with a language translator versionDo it, and with artificial intelligence image recognition technology Autonomous driving Cars are being released, etc..

We are already like this Artificial intelligence and machine learningI can feel that there is a lot involved in this real life. And we'll be divided into people who know how to develop such things and those who don't. All of my jobs will also be replaced.

AI and ML, If it's about this, it's really about now “It's worth learning”, “I need to learn”Don't you think so?

A class that breaks down barriers to artificial intelligence and machine learning

📍 “I need to do machine learning... Difficult?”

There are books about machine learning on the market, and there is an easy way to learn, but taking that path itself has a kind of entry barrier.

If I focus on learning only what I need, I can't move on to the next level because I don't have enough depth, but if I try to know everything from one to ten, I lose interest in machine learning before I even learn it.

I'm a person (like all of you) who didn't start out as a major in machine learning, so I sympathize with the challenges you feel. Therefore, I can tell you to what level you should study basic knowledge of artificial intelligence and machine learning, and in which direction to move forward.

I'm 'Alphadol', an AI researcher from Seoul National University.

_{I was self-taught in machine learning. There was a lot of trial and error.}

📍 I didn't want to solve complex problems myself, so I learned artificial intelligence.

I'm a person who likes simple things and fitness. And I'm researching AI.

I don't want to solve complicated problems, so I like to entrust problems to artificial intelligence, and I work as an incumbent researcher at a startup in the field of Exploratory Data Analysis (EDA).

📚Major history and projects

• Master of Computational Science, Seoul National University (Physical Exploration Laboratory)
• B.A. in Physics, Pusan National University
• Waveform inversion using the perfect Laplace transform (SEG, 2017)
• Current AI & ML researcher at an EDA startup
• Data regression overseas paper submission using Neural Network (planned)
• Joint patent on EDA processing technique (in progress)
• Programmer Coding Test - Computer Vision #6
• Programmer Coding Test - Recommended System #65

_{This is an example of the actual data I'm dealing with. If you deal with simple data, you can get used to it.}

I didn't know I would get a job with machine learning. I had the opportunity to work as a machine learning researcher just because I had fun, and I had another chance to meet you. Let's work hard to do what we want.

As the name says, “Machine learning ignited by PyTorch!”

📍 Python, basic math, and PyTorch!

There are only 3 tools we'll learn. Speaking of artificial intelligence and machine learning, it seems like a floating cloud, but after all Tools you actually useIf you approach it with, you'll see that it's not that vague.

📍 Chapter 1: First, I'd like to say hello to Python.

First of all, in order to learn artificial intelligence and machine learning, it is necessary PythonYou only need to know to a certain extent. We'll use only one chapter, so we'll quickly share our first greetings with Python.

How to use Google Colab (Jupiter laptop)and learn code, What Python understands, how it talks, and file input/output I'll learn about the back. Even if you learn this much, it's enough to be a welcome point for entering artificial intelligence and machine learning.

📍 Chapter 2: Next, let's look at machine learning.

We need to know how machine learning classifies problems. So machine learning's Learning (learning)With the part called Basic mathematics (mathematics)I'll learn about

The reason we use basic mathematics is that computers speak to us “The language of mathematics”This is because I understand it as.

In mathematics, I will explain it easily for those who already have mice on their heads, and at the end I will help them learn through organization and tasks. (Please follow me patiently!)

📍 Chapter 3: Now let's warm up Fight Torch. (Profit 🔥)

_{Let's make artificial intelligence solve even complex data!}

PyTorch (PyTorch)? Don't be bothered by the name you hear. It's easy to think of a lightening torch (🔥). Phaitochi It is a tool that can “quickly” create everything from research prototypes to commercial products.

We are PyTorch Data processing, math, and machine learning problems As I unravel my back, I'm getting closer and closer to developing artificial intelligence and machine learning programs.

(✓ Just here for a moment!)

why Tensorflow (Tensorflow)Why not use it?

TensorFlow is a framework developed by the Google Brain team. Machine learning tool that functions like PyTorchHowever, we're currently lagging behind PyTorch, so we're learning machine learning with PyTorch.

📍 Chapter 4: Applying to Real Life First, the recommendation system!

OK, now Python, basic math, PyTorchSince 3 tools have been prepared, all that remains is to apply them to real life. Let's try real AI and ML development!

I'm going to create a recommendation system with that first application. Referral systemSilver Literally information (movies, music, books, news, images, web pages, etc.) that might be of interest to a specific user What do you recommendIt refers to.

Remember when I said, “The YouTube algorithm brought me here”, right? We are also planning to create such a content recommendation system.

Collaborative filtering models, content-based models, hybrid recommendation models, etc. Learn about the model used to create a recommendation system, and then try to implement the system yourself.

📍 Chapter 5: Applying to Real Life Second, Image Processing!

_{The picture above is not an actual person.}

This is a picture drawn by an artificial intelligence and machine learning system called an artificial neural network. Isn't that amazing?

As a second example of applying it to real life, Neural networksTypes of and GAN, Style transferYou will learn each of the above image processing through practical exercises.

Through this, we Together, we'll try to implement a “new Pokémon design” drawn automatically by the computer.

📍 Chapter 6: Bonus chapter! Let's learn about meta-learning, which is popular these days.

Meta-learning is written in the picture above, Adaptive machine learningYou can think of it as. What this means is that existing learning algorithms solve the problem themselves “As we adapt” It refers to the concept of automatic and flexible upgrades. (=This is an upgraded version of machine learning.)

We will learn about meta-learning, which is currently popular, through Sine wave meta-learning, Omiglorot data learning, etc. “I learned machine learning properly!”You'll be able to say that.

Please don't be afraid! It won't hurt you!

📍 Are you still scared for this reason?

• Because I don't know how to program at all
• I think it would be difficult to play the cord
• Because I'm a defender (one who gave up mathematics)

I am FAQI explained it in detail in Don't worry I'll also provide you with all the code, and I'll follow along to help you understand it. Also, math will help you learn it easily by providing really detailed examples. Please come in!

Go beyond simple education and enter the path of a talented person!

📍AI & ML is a field where the more you learn, the more you learn, the more you gain skills.

Beyond just a liberal arts level, we will learn the basic knowledge necessary for machine learning and experience development. Since then The path of a talented person who makes machines handle problems for meI'm going to walk until.

You will enter as a developer with advantages over others, and at the same time you will have a job that cannot be replaced.

Also, since there are many problems that have not been solved yet, As an AI researcher, I feel about the future of the AI industry and my insights to youI will finish the class with

The world of machine learning with Alphadol

The picture above shows the process of artificial intelligence solving problems on its own.

Let's also create this smart artificial intelligence ourselves through classes.

To sum up all the words so far, “Learn 3 things to communicate with machines”Think of it. Computer programming, mathematics for computer control, and building problem solving systems.

Let's just say that we have learned to proudly know how to do artificial intelligence and machine learning. And let's get closer to the world of such a new job.

👨🏻‍💻 “I do some machine learning too!”

I'll see you in class:)