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[Data Science] 4. Generative AI For Computer Vision

Link https://app.datascientist.fr/learn/learning/57/62/194/844 DataScientist.fr : La plateforme la plus interactive pour apprendre la data science, l'intelligence artificielle et le cloud app.datascientist.fr Generative AI - Generative AI enables users to quickly generate new content based on a variety of inputs. Inputs and outputs to these models can include text, images, sounds, animation, 3D ..
컴퓨터공학/인공지능|데이터사이언스 2023. 10. 18. 21:47
[Data Science] 2. Data Science and Machine Learning

Link https://app.datascientist.fr/learn/learning/57/60/166/762 DataScientist.fr : La plateforme la plus interactive pour apprendre la data science, l'intelligence artificielle et le cloud app.datascientist.fr CRISP-DM Process 1. Opportunity Assessment & Business Understanding 2. Data Understanding & Acquisition 3. Data Preparation & Cleaning & Transformation 4. Modeling 5. Evaluation & Residuals..
컴퓨터공학/인공지능|데이터사이언스 2023. 8. 14. 16:56
[Data Science] 1. Python Basics For Data Science(NumPy, Pandas)

Link https://app.datascientist.fr/learn/learning/57/58/168/761 DataScientist.fr : La plateforme la plus interactive pour apprendre la data science, l'intelligence artificielle et le cloud app.datascientist.fr 라이브러리 종류 - Numpy : List - Pandas : Dictionary NumPy - Dimension : 행렬 차원 - 행렬 생성 import numpy as np arr1 = np.array(862) # Create a 0-D array with value 862 arr2 = np.array([1,2,3,4,5]) # Cr..
컴퓨터공학/인공지능|데이터사이언스 2023. 8. 14. 16:52
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