Linear algebra is useful to solve some problems. But, In the real, There are many nonlinear problems. To solve this kind of problem, we can assume a nonlinear problem like linear problem by using some methods.

Linear algebra Mathematics

인공 지능에 한 분야로 컴퓨터가 스스로 현재 상태를 인지하고, 선택가능한 행동들 중 보상이 가장 크게 예측되는 행동을 하게 된다.

OpenAI GYM과 Tensorflow환경에서 Q-learning과 Dq learning 등의 알고리즘의 구현을 실습해보려 합니다.

Sung Kim교수님의 인터넷 강의를 수업을 참고하여 작성하였습니다.

Machine learning Tensorflow Reinforcement learning OpenAI gym

Project Euler는 수학적인 문제들을 컴퓨터 프로그래밍으로 풀어가는 사이트로, 파이썬 연습과 알고리즘 문제 풀이 겸 이 사이트의 문제를 조금씩 풀어보려고 합니다.

Solution for the project Euler about programming problems.

It is not general solution, just a idea made by myself.

Python Algorithm Mathematics

파이썬을 주언어로 즐겨 사용해왔지만 내장함수나 파이썬만의 표현 방식에 대해서는 잘 알지 못했었다.
특히 종종 다른 사람의 코드를 리뷰하던 중에 이해가 안되는 문법이나 표현을 접하는 경우가 있어 이번 기회에 새로 학습하기로 했다.
“Think like python”1 에서는 파이썬만의 확장된 기능과 문법 등을 통해 파이썬을 좀더 파이썬답게 쓰는 방법에 대해서 설명하였다.

  1. “Effective python 59: specific ways to write better python” in English, 파이썬 코딩의 기술 ↩

Python

“Least squares” means that the overall solution minimizes the sum of the squares of the errors made in the results of every single equation. - Wikipedia

LSM use “Least squares” to make estimated model. Defintely, It is one of the methods to get a parameter. To minimize between sum of data and the power of residual

Using this method, we can get regression model like below.

[y = ax_1 + ax_1 + ax_2 + ax_3 + … + ax_n + b]

Regression Machine learning Linear algebra Matlab

This post is based on blog1 and lecture material in LUT2

Bayesian is one of the important method to classify the values using probability. This theory is based on conditional probability and posteriori probability.

Features are random variables $x ∈ R^D$ , the so called feature space. Classification in the most probable class $ω_i$ thus minimizes error probability.

  1. [dark’s blog][1], 베이지언 확률(Bayesian Probability) ↩

  2. lecture material for Pattern recognition class in the Lappeenranta university of technology. ↩

Mathematics Probability

It feels difficult when you write some text academically. Why feel difficult? Because you don’t know how to write academic style.

You need to know how to write academic style in english. It is important to express your opinion in english. There are some kind of rules to write like academic style.

Pattern recognition is a basic concept of machine learning. It w

It is for contents in my course called “Pattern Recognition” in Lappeenranta University technology. It starts from the definition of Pattern Recognition to Making a model. I hope it can be useful for students and engineers.

Data analysis Big data