"기초수학부터 인공지능에 필요한 수학까지 Python 활용" 스터디

한국소프트웨어산업협회 빅데이터를 활용한 풀스택 개발자 양성과정 / 국제컴퓨터아트학원 천호캠퍼스 / 이재오 강사님

선형대수(행렬 과 벡터 연산)
미적분(수치 해석적 정의를 활용한 프로그래밍 구현)
확률
머신러닝
- linear regression
- logistric regression
- deep learning,
9교시 활용
- 그린의 정리
- 푸리에 변환 이해를 위한 기본 신호처리
- WEBGPU

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
ConvolutionNueralNetwork		ConvolutionNueralNetwork
Green_Fourier		Green_Fourier
linear_logistic_regression		linear_logistic_regression
opencv		opencv
pandas		pandas
probability1030		probability1030
selenium		selenium
socket		socket
미적분basic		미적분basic
선형대수학		선형대수학
README.md		README.md
k.py		k.py
kukje.py		kukje.py
laguide.py		laguide.py
python0905_1_cos_sin_rad_degree.ipynb		python0905_1_cos_sin_rad_degree.ipynb
python0907_1_선형대수학_벡터_내적.ipynb		python0907_1_선형대수학_벡터_내적.ipynb
python0911_1_dot_npdot.ipynb		python0911_1_dot_npdot.ipynb
python0913_1_방정식matplotlib.ipynb		python0913_1_방정식matplotlib.ipynb
python0913_2_opencv_laplacian.ipynb		python0913_2_opencv_laplacian.ipynb
python0914_2_opencv_cv2.ipynb		python0914_2_opencv_cv2.ipynb
python0914_opencv_video.ipynb		python0914_opencv_video.ipynb
python0915_2_vector_opencv.ipynb		python0915_2_vector_opencv.ipynb
python0920_1_Exponentials_Radicals_Logs.ipynb		python0920_1_Exponentials_Radicals_Logs.ipynb
python0920_2_qwidget.ipynb		python0920_2_qwidget.ipynb
python0926_02-03-Differentiation and Derivatives.ipynb		python0926_02-03-Differentiation and Derivatives.ipynb
python0927_02-04-Critical Points and Optimization.ipynb		python0927_02-04-Critical Points and Optimization.ipynb
python0930_integrate.ipynb		python0930_integrate.ipynb
python1004_02-05-Multivariate Functions and Partial Derivatives.ipynb		python1004_02-05-Multivariate Functions and Partial Derivatives.ipynb
python1005_02-06-Integration.ipynb		python1005_02-06-Integration.ipynb
python1006_04-01-Data and Visualization.ipynb		python1006_04-01-Data and Visualization.ipynb
python1006_04-02-Statistics Fundamentals.ipynb		python1006_04-02-Statistics Fundamentals.ipynb
python1006_04-04-Probability.ipynb		python1006_04-04-Probability.ipynb
python1010_1_linear_regression_simple.ipynb		python1010_1_linear_regression_simple.ipynb
python1010_2_linear_regression_multi.ipynb		python1010_2_linear_regression_multi.ipynb
python1010_first_practice.ipynb		python1010_first_practice.ipynb
python1010_second_practice.ipynb		python1010_second_practice.ipynb
python1013_overfitting.ipynb		python1013_overfitting.ipynb
python1015_analog_to_digital.ipynb		python1015_analog_to_digital.ipynb
python1016_1_sin_cos.ipynb		python1016_1_sin_cos.ipynb
python1016_3_activation_sigmoid_relu.ipynb		python1016_3_activation_sigmoid_relu.ipynb
python1016_linear_regression.ipynb		python1016_linear_regression.ipynb
python1016_perceptron.ipynb		python1016_perceptron.ipynb
python1026_BAYSIAN.ipynb		python1026_BAYSIAN.ipynb
python1027_정규분포.ipynb		python1027_정규분포.ipynb
python_1017_2_tensorflow.ipynb		python_1017_2_tensorflow.ipynb
python_1017_neural_network_hand_written.ipynb		python_1017_neural_network_hand_written.ipynb

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