1. How long has it been? 얼마나 됐어? It's been almost 6 months. It's been a long time. It's been many years. It hasn't been very long. 2. How has it been? 과거+현재동안 어땠어요? (How is it?;어때요?)It's been kind of tough. ( 좀 힘들었어.) , It's been fun. It's been great so far. (so far(여태까지는), 여태까지는 좋아요.) It's been really helpful. Thanks again. It's been getting better / worse. (나아지고 있어요.) It's been improving. I..

1. I'm going to have to 동사원형 --> 어쩔 수 없이 동사원형 해야겠다. ex. I'm going to have to decline. I'm going to have to let you go. We are gonna have to fire you. 2. In terms of --> ~ 측면에서 ex. In terms of distance, I prefer japan because it's just two-hour flight. ex. In terms of cost, I think this method would be good. 3. be supposed to 동원 --> ~하기로 되어있다. ex. You're supposed to be class in time. ex. I..

In this post, we are going to talk about the Null space and solving linear system equations by using the null space.Null spaceLet A be a matrix whose columns are [a1, a2, ..., an].The equation is as follows:AX = 0 ; N(A) = {X | AX = 0}.We can interpret this intuitively: when matrix A multiplies a vector X and the result is zero, those X vectors form the null space. This means that the null space..

Ensemble Method DefinitionAn ensemble method is a machine learning approach that combines multiple weak learners (individual models) to produce a stronger and more accurate predictive model.The key idea is that by aggregating the predictions of several models, the ensemble can reduce variance, bias, or improve generalization compared to a single model. Representative Types of Ensemble MethodsVo..

In this post, we are going to talk about the Vector space. Vector spaceA vector space is a set of vectors. A vector space must satisfy 3 conditions as follows:Let x, y be elements in V.x + y is in V (closed under addition)kx is in V for any scalar k (closed under scalar multiplication)the origin vector (0) is in VConclusion: if k1x + k2y is in V for any scalars k1, k2, then we call V a vector s..

Today, we are going to discuss the three types of Linear System Equations (LSE). When the number of unknowns is equal to the number of equations, it is called a Square System. We can represent it as: A(n×n) X = b In this system, the solution is usually unique, but exceptions can exist. If the number of unknowns is greater than the number of equations, it is called an Under-constrained System.We..