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Growth/통계46

Easy introduction to gaussian process regression (uncertainty models) https://www.youtube.com/watch?v=iDzaoEwd0N0&ab_channel=paretos 2022. 12. 4.
비즈니스 데이터 과학 p.22 비즈니스 데이터 과학은 의사결정 문제를 몇 가지 간단한 도표로 비교할 수 있는 소수의 변수를 찾는 거서이다. p.23-24 고전 통계학에서는 고정된 작은 차원의 데이터가 있고 볼륨이 증가하는 세계를 가정하는 것이 일반적이었다. 예를 들면 대학의 통계학 과정에서 다루는 가설 검정 규칙의 기초다. 하지만 이러한 기술은 데이터의 차원이 크고 p.25 2022. 10. 24.
Sampling With and Without Replacement | Introduction to Sampling | Data Scientists Must Know https://www.youtube.com/watch?v=LnGFL_A6A6A 1. Why do we need sampling? a. Before we can conduct an experiment such as A/B testing or an observational study, we need to select some participants. - E.g Visitors of our website. b. Participants can be any other objects, events of interest. c. Ideally, we have access to the whole population. d. E.g. study popular tweets - Look at all of the tweets p.. 2022. 9. 13.
Cracking A/B Testing Problems in Data Science Interviews | Product Sense | Case Interview https://www.youtube.com/watch?v=X8u6kr4fxXc Outline 1. What is AB Testing? 2. How long to run an AB Test? 3. Multiple testing problem 4. Novelty and primacy Effect. 5. Interference between variants 6. Dealing with interference 1. What is AB Testing? a. A/B Tests (a.k.a Controlled Experiments) i. Used in industry to make decisions ii. Simplest form : Control A, Treatment B - Control group : Exist.. 2022. 9. 8.
A/B Testing for Data Science ( Python and R) | June 30th, 2021 https://www.youtube.com/watch?v=ZdC8dwL0rlI A/B test - What & Why? 1. What is an A/B Test? a. An experiment to compare two competing options(A, B). i. Options : treatments (medical), designs (ad, web), products, prices, etc. 2. Why use an A/B Test? a. To determine if the options are different i. Different in a statistical sense (Hypothesis testing, permutation test) b. To determine what's the be.. 2022. 8. 18.
분산분석(ANOVA) F 통계량 수식의 이해 https://www.youtube.com/watch?v=39Qkope7J7Q&ab_channel=%EC%8A%AC%EA%B8%B0%EB%A1%9C%EC%9A%B4%ED%86%B5%EA%B3%84%EC%83%9D%ED%99%9C 2022. 7. 31.