noortwrk

데이터의 세계로 첫발을 내딛고 싶으신가요? AI의 핵심 기술인 머신러닝과 딥러닝을 파이썬과 함께 배워보세요. 이 강의는 머신러닝과 딥러닝의 기초부터 실제 응용까지, 단계별로 친절하게 안내합니다. 전통적인 머신러닝과 딥러닝은 많은 부분에서 동일한 원리와 기술 체계에 기반하고 있습니다. 따라서 본 강의에서는 두 가지를 별도의 과목으로 분리하지 않고 하나의 연결된 과정으로 구성하여 입문자가 머신러닝 전반에 걸친 이해도를 높일 수 있도록 하였습니다.

YoungJea Oh

파이썬을 활용한 머신러닝 딥러닝 입문

Do you want to take your first step into the world of data? Learn machine learning and deep learning, the core technologies of AI, with Python. This course will guide you step by step, from the basics of machine learning and deep learning to practical applications. Traditional machine learning and deep learning are based on many of the same principles and technical systems. Therefore, this course does not separate the two into separate subjects, but rather organizes them into one connected course so that beginners can increase their understanding of machine learning as a whole.

trimurti

입문

초급

중급이상

Machine Learning(ML)

Deep Learning(DL)

파이썬

Python

넘파이

Numpy

판다스

Pandas

Introduction to Machine Learning and Deep Learning Using Python

Hands-on Preparation and Machine Learning Overview

Learn ML Basics

Traditional Machine Learning - Supervised Learning Model part 1

Data set splitting and model performance evaluation metrics

Traditional Machine Learning - Supervised Learning Model part 2

Traditional Machine Learning - Unsupervised Learning Model

Neural Network and Deep Learning

CNN (Convolutional Neural Network) - Convolutional Neural Network

RNN (Recurrent Neural Network)

Unsupervised Learning - Autoencoder

GAN(Generative Aniversarial Network) - Generative Adversarial Network

ML Model Server Deployment