DeepLink, Author at DEEPLINK CORE Lab

03/27/2024 트렌드

Reviewing the Effective Meeting Techniques Through Steve Jobs’ 3 Principles

Meetings Meetings The term “meeting” encompasses the gathering and discussion where adherence to certain formats and rules enables efficient decision-making

03/25/2024 데이터사이언스 / 머신러닝

Random Forest Vulnerabilities – Extrapolation

Random Forest Vulnerabilities Random Forests have the advantage of performing well without the need for extensive hyper-parameter tuning, as long

03/24/2024 트렌드

인공지능, 빅데이터 시대의 데이터 검색 솔루션: 구글 데이터 세트 서치

Google Dataset Search 구글 데이터 세트 서치는 2018년 9월 베타 서비스를 시작했고, 2020년 1월 베타가 종료되고 정식 오픈하였다. 데이터 세트

03/22/2024 트렌드

Royalty-free Face Photos

Royalty-free Face Photos(now exceeding 2 million) are being distributed for free using AI technology. The features of the provided facial

03/19/2024 Python 실습

[Python] Creating Combinations, Product Sets, and Cartesian Products with a Dictionary

Want to know about combinations and product sets from multiple items? A combination is a selection of r items from

03/18/2024 데이터사이언스 / 머신러닝

Various Learning Methods in Machine Learning

Machine learning is a field of artificial intelligence that learns patterns from data to make predictions or decisions. This learning

03/17/2024 데이터사이언스 / 머신러닝

Understanding the Types of Attribute of Data

Dataset A dataset is composed of data objects, and a data object represents an entity(a concept or unit of meaningful

03/16/2024 데이터사이언스 / 머신러닝

Introduction and Installation of “Scikit-Learn”

What is Scikit-Learn? Scikit-Learn is a free software machine learning library for the Python programming language. It provides simple and

03/15/2024 생성형 AI

[ChatGPT] Analyzing ChatGPT’s Free and Paid Pricing Policies, and Cost Minimization Strategies for API Use – Latest Update (24.03)

One of the most notable technologies in the field of artificial intelligence in recent years is chatbots based on natural

03/14/2024 데이터사이언스 / 머신러닝

머신러닝(Machine Learning)의 여러가지 학습 방법

머신러닝은 데이터에서 패턴을 학습하여 예측이나 결정을 내리는 인공지능의 한 분야이다. 이러한 학습은 크게 지도 학습(Supervised Learning), 비지도 학습(Unsupervised Learning), 강화