머신러닝에 관한 올바른 설명 세 가지는 무엇인가요? (3개 선택)
- 컴퓨터에서 방대한 데이터의 패턴을 분석하고 인식할 때 머신러닝이 적용됩니다.
- 시간이 지날수록 머신러닝의 효율성과 정확성이 개선될 수 있습니다.
- 머신러닝을 사용하면 컴퓨터에 직접 프로그램을 작성하거나 명령을 내리지 않아도 됩니다.
- 머신러닝은 대량의 데이터를 효과적으로 요약하는 방법입니다.
- 머신러닝은 광고 대행사가 완전히 사라질 수 있는 수준으로 발전할 것입니다.
We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.
The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ...
Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.
Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Advertisement cookies are used to provide visitors with customized advertisements based on the pages you visited previously and to analyze the effectiveness of the ad campaigns.
We help you to get prepared and pass your Marketing online Certification exams