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      Terms of Use

      Chapter 1 General Rule

      Article 1 (Purpose)

      The purpose of these Terms and Conditions shall be that the customer (hereinafter referred to as "Member") using all member information services (hereinafter referred to as "Service") provided by the K-MOOC (hereinafter referred to as the "Site") operated by the National Institute for Lifelong Education (hereinafter referred to as NILE) and the 'Site' specify the terms and procedures and other necessary matters regarding the use of the 'Services'.

      Article 2 (Effect and Change of Terms)

      1. This Agreement will be effective when the Member clicks the "Agree" button in response to the question "Do you agree with the Terms?"

      2. The 'Site' may change these Terms and Conditions, and the modified Terms will be announced to 'Member's for 7 days prior to the effective date and will be effective on the applicable date'

      3. If 'Member' does not agree to the modified terms, 'Member' may stop using the 'Service' and withdraw. If 'Member' continues to use the 'Services' after the terms have been changed, the 'Member' shall be deemed to have agreed to the terms of this Agreement.

      Article 3 (Regulations other than the Terms and Conditions)

      When any matters not specified in these Terms and Conditions are specified in relevant laws and regulations, they shall be governed by the relevant laws and regulations.

      Chapter 2 Membership sign-up and Service Usage

      Article 4 (Usage Contract)

      Use of the 'Service' is permitted only if the 'homepage' is permitted and the 'Member' agrees to the Terms and Conditions.

      Article 5 (Application for Use)

      1. In order to use this service, you must record your information on the form prescribed by 'this site'.

      2. The user information shown on the subscription form is considered actual data. Users who do not enter real information will not be legally protected.

      Article 6 (Approval of Use Application)

      1. The 'Site' approves the use of 'Service's when 'Member' makes a complete application by writing all matters correctly. However, the following cases are an exception.

      ① If the application is made using someone else's name

      ② If you have filed a false application for the membership application form

      ③ If you applied for the purpose of hindering social well-being, order or morals

      ④ If you interfere with another person's use of the site services or take actions such ass tealing the information

      ⑤ If you do the acts prohibited by laws and regulations and the terms from using the site

      ⑥ If you do not have enough membership requirements set by the site

      2. The information that the member enters is shown below. In addition to the information below, the 'Site' may require the 'Member' to enter additional information.

      - Required items: Email, real name, ID, password, country, gender, year of birth

      - Optional items: Place of residence, the highest level of education, purpose of enrollment

      Article 7 (Change of Contract Items and Information Retention/Use Period)

      1. The 'Member', if changes are made to the information entered when applying for 'Service', must correct it online.

      2. From the moment you register as a 'member', the 'site' can hold and use the information of 'member'.

      3. From the moment the 'Member' leaves the site, the information of the 'Member' will not be available on the site. However, in order to protect personal information, the 'Site' may retain the information of the 'Member' for 20 days from the moment when membership is withdrawn.

      Article 8 (Collection of Personal Information by Cookies)

      1. The 'Site' sends cookies to the user's personal computer to provide specialized services for each user.

      2. In order for the user to be able to use it conveniently with one login, he or she must accept cookies.

      3. Cookies are used to identify the characteristics of users who visit the 'site'.

      4. Users can selectively accept cookies by adjusting options in the web browser. If you refuse to accept cookies, you will not be able to use the services that require log-in.

      Chapter 3 Cancellation of Contract

      Article 9 (Cancellation of Contract)

      1. 'Member' may initiate complaints about the processing of member information through online.

      2. When a 'member' wishes to terminate the service use contract, he or she may request the termination of the contract by e-mail with his or her name, ID, date of birth, or you must apply for withdrawal in 'membership withdrawal' menu of member information correction.

      Article 10 (Disqualification)

      In the event of the following reasons, the 'Site' may cancel the use contract without any prior notice or terminate the service use by determining a period.

      1. If you missed the 'Basic Information' in Article 6 (2)

      2. If you register with false contents when you apply for membership

      3. If you have stolen someone's ID and password

      4. If you infringe the intellectual property rights of the site, other members or third parties

      5. If you do the act of harming social well-being and order, public morals

      6. In the event of an act that damages or causes disadvantage to others' honor

      Chapter 4 Responsibility

      Article 11 (The Obligations of the 'Site')

      1. In order to facilitate the use of the sites affiliated with the 'Site', the 'Site' may share the information of the 'Member' with the affiliated sites, and for the purpose of sharing, the 'Site' can send cookies to the computer of 'Member'.

      2. The 'Site' does not disclose or distribute the personal information of 'Member' which is known by 'Service' provision to a third party without the consent of the user. However, the following exceptions apply.

      ① If there are special regulations in laws such as Act on Financial Real Name Transaction and Confidentiality, Use and Protection of Credit Information, Basic Law of Telecommunications, Telecommunications Business Act, Local Tax Act, Consumer Protection Act, Bank of Korea Act and Criminal Procedure Act

      ② When necessary for statistical writing / academic research or market research, if it is provided in an unidentifiable form for a specific individual

      ③ The 'Site' may use all or part of the information of 'Member' as statistical data related to the business'

      ④ The 'Site' strives to ensure that the 'Service' operates consistently and reliably. If the 'Service' is interrupted for any unavoidable reason, we will do our best to repair and recover it without delay. However, in case of natural disasters, emergencies, periodic system inspections and the necessity of 'NILE', we may stop or suspend the service temporarily.

      Article 12 (Consent on the Use of 'Member' Information)

      1. NILE operates various websites in addition to this site. NILE collects member's information for the purpose of providing services of the main site and various subsites operated by NILE, and can use the collected information of members.

      2. The 'Site' may be affiliated with various education related associations and business operators for the quality of their services and may share their membership information. In such case, the 'Site' shall disclose the partnership, purpose, and contents to the Terms in this Article and shall be provided to the Affiliates after the consent of 'Member' is obtained.'

      3. The consent of the 'Member' under the provisions of this Article shall be effected by clicking the button for subscribing to the information service provided in the Terms and Conditions and the entry screen of member enrollment information.

      Article 13 (Obligations of Member)

      1. 'Member's are responsible for the management of their ID and password.

      2. 'Member' shall not assign, give, loan his or her ID to another person or allow others to use it.

      3. If your ID is used improperly, the 'Member' must notify it to NILE.

      4. "Member" can not use the data registered in the post to conduct sales activities.

      5. 'Member' must receive a notice mail from the "Site".

      Article 14 (Member Posts)

      1. Posts include all writings made by members on the various boards of the 'Site'.

      2. Any loss or problem arising out of the information posted by members and Q&A is solely the responsibility of the member, and the 'site' is not responsible for it unless it is the intention of the 'site'.

      3. In the event of any claims, lawsuits, or any other disputes against the 'site' arising out of any third party due to the member' s posting, the member shall bear the cost of the settlement and process the dispute for the site, In the event that the 'Site' compensates the third party or damages occur to the 'Site', the member shall compensate the 'Site'.

      4. The 'Site' shall delete member's post without prior notice in the event that the post of the 'Member' fall under any of the following: However, the 'site' does not have any obligation to inspect or censor the post.

      ① If you defame a third party by slander

      ② In case of contents that hinder public order or good morals

      ③ In case of infringement of copyright of the 'Site' or copyright of third party etc.

      ④ When the posting period stipulated in the 'Site is exceed

      ⑤ In case of a commercial post, a money-making advertisement, a good luck letter, etc.

      ⑥ In case of not meeting the purpose of site opening

      ⑦ When other applicable laws and regulations are violated

      5. The 'Site' can process, sell, publish, etc. using the posts registered by 'Member's.'

      Chapter 5 Information Provision

      Article 15 (Information Provision)

      The 'Site' may transmit the necessary information or advertisement to 'Member' by e-mail or letter mail. If 'Member' dose not want this, the 'Member' can refuse the information from the subscription application menu and the member information modification menu. However, we may send a notice mail of the 'Site' of Article 13 (5) to the member who has refused to receive the information.

      Chapter 6 Exemption from Responsibility and Indemnification

      Article 16 (Responsibility)

      1. The 'Site' shall not be liable for any damages incurred to the 'Member' in connection with the use of the 'Service' unless there is intent or gross negligence of the 'Site'.

      2. The 'Site' does not endorse or warrant the appropriateness, accuracy, timeliness, credibility of information, products, services, software, graphics, voice and video related to the use of the 'Service'.

      Article 17 (Exemption from Responsibility)

      'NILE' will not be held responsible for any problems occurred to 'Member if disruption of service is due to natural disasters or unavoidable circumstances.

      Article 18 (Competent Court)

      The court shall be the court having jurisdiction over the location of the "NILE" or the court under the civil procedure law of the Republic of Korea.

      The laws of the Republic of Korea shall apply to the interpretation and application of these Terms and the settlement of any dispute relating to these Terms and Conditions.

      Copyright protection policy

      Copyright protection policy


      CCL (Creative Commons License)

      CCL is a free-use license that allows others to use their creations freely under certain conditions.



      Terms and conditions of permission

      Attribution (Author Display)


      It is an essential provision included in the license that the author must be indicated, such as the author's name and source.


      Noncommercial


      The work is not available for profit. It means that in order to use for profit, a separate contract is required.


      No Derivative Works


      It means that it is prohibited to change the work or to produce secondary works using the work.


      Share Alike (Allow to change the same conditions)


      It means that secondary works should be allowed to be produced, but the same license as the original works should be applied to secondary works.



      Terms and conditions of permission




      Author Indication (CC BY)


      You must mark the author's name, title of the work, and source.







      Author Indication-Non-Profit (CC BY-NC)


      If you reveal the author, you can use it freely, but you cannot use it for profit.







      Author Indication-No Change (CC BY-ND)


      If you reveal the author, you can use it freely, but you have to use it as it is without any changes.







      Author Indication-Allow to change the same conditions (CC BY-SA)


      If you reveal the author, you can freely use it and change the work, but the same license as the one applied to the original work should be applied to the secondary work.







      Author Indication-Non-Profit-Allow to change the same conditions (CC BY-NC-SA)


      It can be used if the author is identified, and the work can be changed, but it cannot be used for profit, and the same license as the original work must be applied to the secondary work.







      Author Indication-Non-Profit-No Change (CC BY-NC-ND)


      If you reveal the author, you can use it freely, but it cannot be used for profit and must be used as it is without change.




      Multilingual settings

      Home Courses Engineering Computers & Communication

      Course Introduction

      강좌 안내


      기계학습 이론과 전문기술은 현대 데이터과학 응용에서 결정적인 역할을 합니다. 이 분야 전문기술은 다양한 분류와 회귀 모델, 군집화, 차원 축소, 강화학습 그리고 딥러닝을 포함합니다. 기계학습 문제와 관련 전문기술에 대한 큰 그림에 대해서 이해하는 것은 적절하게 이 분야의 문제해결에 활용하는데 중요합니다. 이 강좌의 목표는 학습자들에게 기계학습의 기본 지식과 그 뒤에 숨겨진 의도를 제공하고 현실 세계문제에 적절하게 응용하려는 것입니다.

      이 강좌는 특히 데이터과학을 위한 기계학습, 강화학습, 딥러닝, 상호작용적 가시화 분야에 대한 기본 원리를 포함합니다. 이 원리들은 기계학습에서 널리 사용되는 전문기술들입니다.

      이 강좌는 선형 대수, 확률과 통계, 그리고 다변수 미적분과 최적화의 기본 원리에 대한 이해를 필요로 합니다. 이 원리들은 "Mathematical Fundamentals for Data Science" 강좌를 통해서 학습할 수 있습니다.

      이 강좌는 16주차(2주는 자율학습, 1주는 시험)으로 구성되어 있습니다. 매 주차 비디오 강좌를 듣고 난 후, 퀴즈 버튼을 눌러서 퀴즈를 풀어야 점수에 반영됩니다. 해당 주차가 끝날 때 마다 게시판에서 관련 주제로 토론을 할 수 있습니다. 평가 내용은 퀴즈(40%), 시험(60%)입니다. 이 강좌를 통과하려면 총 점수의 60% 이상을 얻어야 합니다.

      이 강좌는 영어로 진행되며 영어자막과 한글자막을 동시에 제공합니다. 질문과 토론에서 한국어를 사용할 수 있습니다.



      세부 강의 일정

      주차

      세부주제

      교수

      비고

      1

      기계학습 개요

      석준희

      2

      지도 학습 (I): 선형 회귀

      석준희

       

      3

      지도 학습 (II): 회귀 

      석준희

       

      4

      지도 학습 (III): 분류

      석준희

       

      5

      지도 학습 (IV): 모델 선택

      석준희

       

      6

      자율학습

       

       

      7

      비지도 학습 (I): 개요, 군집화, k-평균 알고리즘

      정태수

       

      8

      비지도 학습 (II): PCA, 가우시안 혼합 모델

      정태수

       

      9

      강화 학습 (I): 동적계획법, 마코프 체인

      정태수

       

      10

      강화 학습 (II): 마코프 결정 프로세스, 강화 학습 알고리즘

      정태수

       

      11

      자율학습

       

       

      12

      딥러닝 (I): 다층 신경망

      주재걸

       

      13

      딥러닝 (II): 합성곱 신경망

      주재걸

       

      14

      딥러닝 (III): 반복 신경망

      주재걸

       

      15

      딥러닝 (IV): 주목 모델 

      주재걸

       

      16

      기말시험

       

       



      About This Course

      I. Rationale:

      Theories and techniques in machine learning plays a crucial role in modern data science applications. Such techniques include various classification and regression models, clustering, dimension reduction, reinforcement learning, and deep learning. Understanding of the big picture of machine learning problems and available techniques is critical in properly utilizing them for one’s own problem. The goal of this course is to provide students with basic knowledge of machine learning and intuitions behind them as well as their proper applications to real-world problems.

      In this course, we specifically cover basic principles in machine learning, reinforcement learning, deep learning, and interactive visualization for data science, which covers widely-used techniques in machine learning.

      We remark that this course assumes the student’s basic knowledge in the mathematical background for data science and machine learning, such as linear algebra, probability, statistics, multivariable calculus, and so on.


      II. Course Aims and Outcomes:

      Aims : The aim of this course is to provide students the theory and the techniques in machine learning.

      Specific Learning Outcomes: By the end of this course, students will:
      • have an overview of machine learning tasks and the corresponding techniques to tackle them.


      III. Course Requirements:

      We presume students have a basic understanding of a high-school level mathematics although this course is designed for people who might be familiar with and exposed to a certain level of basic concepts in probability, calculus or linear algebra at the high-school or 1st-year college level.


      IV. Grading Procedures:

      Grading policy is as follows:

      • Quizzes (40%)

      • Exams (60%)

      To pass the course, you must score 60% or above.


      V. Course Schedule

      • Course registration period : 2020.08.24~2020.12.27

      • Opening and Ending : 2020.08.31~2020.12.27


      Ⅵ. Course Staff

      Prof. Taesu Cheong Image

      정태수교수(Taesu Cheong)

      Professor, School of Industrial Management Engineering, Korea University

      tcheong@korea.ac.kr

      고려대학교

      고려대학교 교수학습개발원

      mooc@korea.ac.kr


      Preview

      Field Engineering (Computers & Communication)

      Difficulty -

      Operating Institute KOREA UNIVERSITY

      Certificate Unissued

      Week 16 Week

      Learning recognition time 46Hour 00Minute (15Hour 50Minute)

      Course Registration Period 22.08.24 ~ 22.12.14

      Course Duration 22.09.05 ~ 22.12.27

      Phone Number 02-3290-1581

      Subtitle language 한국어 Others 1ea

      Course language 영어(en)

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