The lecture content is really good.
It consists of essential content that anyone who is new to artificial intelligence should listen to.
I completely understand the concepts and applications of machine learning and deep learning.
I will now move on to the lecture "Building a Deep Learning Model Using PyTorch".

yyy1227

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

지식공유자의 깜짝할인

Introduction to Machine Learning and Deep Learning Using Python

YoungJea Oh

입문

초급

중급이상

Machine Learning(ML)

Deep Learning(DL)

파이썬

Python

넘파이

Numpy

판다스

Pandas

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