Machine Learning

Okay, no problem. This concept is actually very easy to understand with real-life examples. Supervised Learning: Learning with a "Teacher" Imagine how you learned to identify fruits when you were a c...

Okay, no problem. Imagine we're chatting in a coffee shop, and I'll tell you all about this topic. Self-supervised Learning: AI's "Self-Taught" Revolution Hello! I'm glad you're interested in this to...

Hey there, friend! That's an excellent question. Bayes' Theorem might sound intimidating, but its core idea is actually very close to our daily lives and intuition.

Okay, no problem. This concept isn't as complex as it might seem. Let me explain it to you with a simple analogy. What is an Optimizer? Imagine you are blindfolded and randomly placed somewhere in a ...

Okay, no problem. Let's talk about this topic in plain language. Let's Talk About What a "Loss Function" Is When I first started with machine learning, these terms also made my head spin.

Okay, no problem. When it comes to training data and test data, many people easily get confused. In fact, if we use our school days as an analogy, it becomes clear immediately. Training Data vs.

Okay, regarding the relationship between data and AI, I'll try to explain it to you in plain language. What is Data? Why Does AI Need a Lot of Data? First, what exactly is "data"? Don't think about c...

Let's put it this way: imagine an underwater robot without artificial intelligence (AI) as a drone that you have to operate step-by-step with a remote control joystick.

Absolutely! This is not only possible but also one of the hottest and most central directions in current humanoid robot research. It's actually not that complicated; we can imagine it as an "apprentic...

Hey, that's an interesting question! Many people find it amazing that robots can understand human speech. Actually, there's a pretty complex process behind it, but I'll try to explain it in simple ter...

Hello, I'm excited to discuss this topic with you! I'll try my best to explain it in plain language so it doesn't sound too "AI-like." How Do Robots Learn to Walk and Work? The "Magic" of Reinforceme...

Okay, no problem. We can talk about this topic. Imagine we're not discussing some profound technology, but rather how to "teach" a robot to continuously learn and grow like a human.

Okay, this is a very interesting question. I'll try my best to explain it to you in plain language. What is Causal Inference? How is it different from Predictive Models? Imagine you're a watermelon f...

Okay, no problem. Let me break down how Federated Learning protects privacy and its limitations. Federated Learning: A "New Approach" to Data Privacy Imagine you and a few friends want to know the ave...

Okay, no problem. Let's imagine and discuss this topic. Hey, regarding the "black box" of deep learning models, how do we know why they make certain predictions? (Explainable AI/XAI) Hello! I'm glad ...

Okay, no problem. When it comes to NLP, it's actually not as mysterious as it sounds; it has quietly integrated into our lives. What is Natural Language Processing (NLP)? You can imagine Natural Lang...

Hello! I'm happy to share my understanding of these fundamental concepts in reinforcement learning, hoping it helps you get started. Imagine you're training a puppy (let's call him "Wangcai") to learn...

Okay, let's talk about Generative Adversarial Networks (GANs). Forget the complex jargon. You can imagine a GAN as a story of intense rivalry and mutual growth between a "master forger" and an "apprai...

Alright, regarding transfer learning, I'll share my understanding, hoping it helps you grasp the concept. What is Transfer Learning? Imagine you've learned to ride a bicycle, mastering balance, pedal...

Okay, no problem. A Chat About Feature Engineering: Why Is It So Crucial for Model Performance? Imagine you are a master chef, and your task is to create an exquisite dish.