목록Lectures/Machine Learning Basic (3)

Soohyun’s Machine-learning

Base

Types of Machine Learning - Supervised learning - with labels - Unsupervised learning - no labels - Reinforcement learning - know the objective, don't know how to achieve Thumbtack Question - H : probability of Head up - T : probability of Tail up Binomial distribution (Bernoulli experiment) is the discrete probability distribution of the number of successes in a sequence of n independent yes/no..
Lectures/Machine Learning Basic 2018. 3. 5. 12:58
Kernel Idea

202p 204p 여기에서의 positive definite 는 positive definite matrix 와 비슷하다고 보면 된다. (같다인지 비슷하다인지는 더 찾아봐야 함) Positive definite matrix : http://mskyt.tistory.com/79 positive definite 와 positive semi definite 간의 차이? : https://m.blog.naver.com/PostView.nhn?blogId=talesoff&logNo=130179795677&proxyReferer=https%3A%2F%2Fwww.google.co.kr%2F 우선 definite matrix는 hermit matrix에 속한다는데, hermit matrix 는 대칭 행렬을 복소수 환경..
Lectures/Machine Learning Basic 2017. 11. 10. 20:10
cost function and Gradient update rule

Gradient descent algorithm parameter( ) = Weight
Lectures/Machine Learning Basic 2017. 10. 21. 11:53
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