Related Skills
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[Revised Edition] The Complete Guide to Python Machine Learning
dooleyz3525
₩77
초급 / Python, Machine Learning(ML), Statistics
4.9
(474)
We will help you easily understand the core concepts of machine learning and acquire the ability to implement practical machine learning applications by moving away from theory-based machine learning courses.
초급
Python, Machine Learning(ML), Statistics
[Revised Edition] The Complete Guide to Python Machine Learning
dooleyz3525
₩77
초급 / Python, Machine Learning(ML), Statistics
4.9
(474)
Kaggle Advanced Machine Learning Practical Crash Course
dooleyz3525
₩52
중급이상 / Machine Learning(ML), Kaggle
4.9
(77)
This course is designed to upgrade your skills as a practical machine learning development expert by implementing the machine learning model of the Home Credit Default Risk competition on Kaggle.
중급이상
Machine Learning(ML), Kaggle
Kaggle Advanced Machine Learning Practical Crash Course
dooleyz3525
₩52
중급이상 / Machine Learning(ML), Kaggle
4.9
(77)
Introduction to Machine Learning and Deep Learning Using Python
YoungJea Oh
₩52
4시간만
23%
₩40
입문 / Machine Learning(ML), Deep Learning(DL), Python, Numpy, Pandas, Matplotlib, Anaconda, Tensorflow, Keras, CNN
4.9
(66)
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.
입문
Machine Learning(ML), Deep Learning(DL), Python
Introduction to Machine Learning and Deep Learning Using Python
YoungJea Oh
₩52
4시간만
23%
₩40
입문 / Machine Learning(ML), Deep Learning(DL), Python, Numpy, Pandas, Matplotlib, Anaconda, Tensorflow, Keras, CNN
4.9
(66)
Spark Machine Learning Complete Guide - Part 1
dooleyz3525
₩77
중급이상 / Apache Spark, Machine Learning(ML), Big Data, Data Engineering
4.9
(29)
If you want to be recognized as a machine learning expert in large-scale data environments—from understanding the core framework of Spark Machine Learning to SQL-based data processing through high-difficulty practical problems, and the ability to implement optimized machine learning models through business domain analysis—join this course.
중급이상
Apache Spark, Machine Learning(ML), Big Data
Spark Machine Learning Complete Guide - Part 1
dooleyz3525
₩77
중급이상 / Apache Spark, Machine Learning(ML), Big Data, Data Engineering
4.9
(29)
Understanding the Fundamentals and Operating Principles of Generative AI
YoungJea Oh
₩43
중급이상 / Python, openai, multimodal, AI, transformer
4.8
(77)
Understand the operating principles of generative AI models using deep learning and acquire practical application skills through hands-on exercises.
중급이상
Python, openai, multimodal
Understanding the Fundamentals and Operating Principles of Generative AI
YoungJea Oh
₩43
중급이상 / Python, openai, multimodal, AI, transformer
4.8
(77)
Introduction to Machine Learning/Deep Learning and Python Introductory Course for Learning
YoungJea Oh
₩9
입문 / Machine Learning(ML), Deep Learning(DL), Python, Numpy, Pandas, Matplotlib
4.8
(40)
You can acquire an overview of machine learning and deep learning, how to use basic tools, and the Python language knowledge necessary for learning in a short period of time.
입문
Machine Learning(ML), Deep Learning(DL), Python
Introduction to Machine Learning/Deep Learning and Python Introductory Course for Learning
YoungJea Oh
₩9
입문 / Machine Learning(ML), Deep Learning(DL), Python, Numpy, Pandas, Matplotlib
4.8
(40)
Kaggle Machine Learning for Beginners Learn from Industry Professionals - ML Engineer Practical Tips
AISchool
₩46
초급 / Kaggle, Machine Learning(ML), EDA
4.6
(24)
Learn the basics of machine learning step by step through various Kaggle examples, and learn vivid project experiences and practical tips from hard-to-access field machine learning engineers all at once.
초급
Kaggle, Machine Learning(ML), EDA
Kaggle Machine Learning for Beginners Learn from Industry Professionals - ML Engineer Practical Tips
AISchool
₩46
초급 / Kaggle, Machine Learning(ML), EDA
4.6
(24)
MLflow with Silicon Valley Engineers
altoformula
₩43
입문 / mlflow, Machine Learning(ML), mlops, Deep Learning(DL), AI
4.7
(22)
Are you still managing ML experiments manually? 🤔 Automate everything from experiment tracking to model deployment with MLflow, and dramatically boost your development productivity! An essential skill for data scientists and ML engineers 💡 Start right now! 🚀
입문
mlflow, Machine Learning(ML), mlops
MLflow with Silicon Valley Engineers
altoformula
₩43
입문 / mlflow, Machine Learning(ML), mlops, Deep Learning(DL), AI
4.7
(22)
Hands-on! Building a Deep Learning-Based Recommendation System
YoungJea Oh
₩39
중급이상 / Python, Machine Learning(ML), Deep Learning(DL), Tensorflow, Recommendation System
4.4
(9)
This course covers everything from the basic concepts of recommendation systems to the principles of applying deep learning. Develop your practical skills for recommendation service development by learning various recommendation algorithms, including collaborative filtering, content-based filtering, and hybrid recommendation systems!
중급이상
Python, Machine Learning(ML), Deep Learning(DL)
Hands-on! Building a Deep Learning-Based Recommendation System
YoungJea Oh
₩39
중급이상 / Python, Machine Learning(ML), Deep Learning(DL), Tensorflow, Recommendation System
4.4
(9)
Machine Learning with JavaScript and Tensorflow.js
YoungJea Oh
₩43
초급 / Machine Learning(ML), Deep Learning(DL), JavaScript, tensorflow-js
5.0
(3)
JavaScript, which is known to all web developers, now explore the world of machine learning with this powerful language! This course learns how to build and deploy machine learning models using JavaScript and the powerful machine learning library Tensorflow.js. It guides you step-by-step through all the technologies required to develop web-based machine learning applications. Through this course, learners will systematically understand the core principles of machine learning. In addition, you will learn how to develop deep learning models using JavaScript and Tensorflow.js APIs, how to utilize transfer learning based on pre-trained models, and how to apply all this knowledge interactively in a browser environment.
초급
Machine Learning(ML), Deep Learning(DL), JavaScript
Machine Learning with JavaScript and Tensorflow.js
YoungJea Oh
₩43
초급 / Machine Learning(ML), Deep Learning(DL), JavaScript, tensorflow-js
5.0
(3)
Deep Learning Paper Implementation with U-Net Implementation with TensorFlow 2.0 - Deep Learning Medical Image Analysis
AISchool
₩77
중급이상 / Tensorflow, Deep Learning(DL)
4.5
(8)
This course teaches you how to implement deep learning papers by implementing the U-Net paper from scratch using TensorFlow 2.0.
중급이상
Tensorflow, Deep Learning(DL)
Deep Learning Paper Implementation with U-Net Implementation with TensorFlow 2.0 - Deep Learning Medical Image Analysis
AISchool
₩77
중급이상 / Tensorflow, Deep Learning(DL)
4.5
(8)
Practical Docker: Creating your own deep learning cloud computer with Docker
danielyouk
₩59
초급 / Docker, Virtualization, Python, Deep Learning(DL), mlops, Azure, Linux, azure-data-lake-gen2
4.7
(15)
You can create a deep learning analysis environment in the cloud using Docker. When Docker images managed by Google, MS, etc. are combined with the cloud, you can work with the latest deep learning analysis methods on your computer.
초급
Docker, Virtualization, Python
Practical Docker: Creating your own deep learning cloud computer with Docker
danielyouk
₩59
초급 / Docker, Virtualization, Python, Deep Learning(DL), mlops, Azure, Linux, azure-data-lake-gen2
4.7
(15)
Mathematics for Game Development (PART 1)
eazuooz
₩26
초급 / C++, Linear Algebra, game-math
5.0
(17)
This is a lecture where you can easily learn important mathematical concepts used in games. People who are well-versed in mathematics take this knowledge for granted, so they cannot teach it assuming you know nothing. I explain from a beginner's perspective, truly assuming you are a non-major.
초급
C++, Linear Algebra, game-math
Mathematics for Game Development (PART 1)
eazuooz
₩26
초급 / C++, Linear Algebra, game-math
5.0
(17)
Deep Learning and TensorFlow for Beginners: The Basics Fast
Jay
₩9
초급 / Deep Learning(DL), Tensorflow, Python, colab
4.9
(48)
This is a lecture where you can learn Deep Learning using TensorFlow. Learn linear regression, logistic regression, and softmax regression models, and finally create an MLP model that can classify fashion images!
초급
Deep Learning(DL), Tensorflow, Python
Deep Learning and TensorFlow for Beginners: The Basics Fast
Jay
₩9
초급 / Deep Learning(DL), Tensorflow, Python, colab
4.9
(48)
![[Python] Easily understand and implement machine learning without math강의 썸네일](https://cdn.inflearn.com/public/courses/328518/cover/5748a5c0-65a6-4d06-bb54-9f3981fafeee/328518-eng.png?f=avif&w=420)
[Python] Easily understand and implement machine learning without math
dlbro
₩52
입문 / Machine Learning(ML), Python, Scikit-Learn, Big Data
4.7
(45)
Learn how to understand advanced machine learning models without math and implement them easily in Python.
입문
Machine Learning(ML), Python, Scikit-Learn
[Python] Easily understand and implement machine learning without math
dlbro
₩52
입문 / Machine Learning(ML), Python, Scikit-Learn, Big Data
4.7
(45)
From Introduction to Reinforcement Learning to Deep Q-learning/Policy Gradient
YoungJea Oh
₩43
4시간만
23%
₩33
중급이상 / Python, Deep Learning(DL), Reinforcement Learning(RL), PyTorch
4.7
(35)
Recently, all the remarkable achievements in the field of artificial intelligence are being announced in the area of reinforcement learning. This covers reinforcement learning technology—which is bringing about true innovation in AI such as robotics, autonomous driving, and humanoid machines—from basic to advanced levels in an easy-to-understand way for beginners.
중급이상
Python, Deep Learning(DL), Reinforcement Learning(RL)
From Introduction to Reinforcement Learning to Deep Q-learning/Policy Gradient
YoungJea Oh
₩43
4시간만
23%
₩33
중급이상 / Python, Deep Learning(DL), Reinforcement Learning(RL), PyTorch
4.7
(35)
![[Pytorch] Building Deep Learning Models Using PyTorch강의 썸네일](https://cdn.inflearn.com/public/courses/329226/cover/056ed444-5b26-40fc-b4d6-8e03b2f23890/DL_pytorch.jpg?f=avif&w=420)
[Pytorch] Building Deep Learning Models Using PyTorch
YoungJea Oh
₩43
4시간만
23%
₩33
초급 / Deep Learning(DL), Artificial Neural Network, PyTorch, Anaconda, CNN
5.0
(11)
Learn how to build deep learning models yourself using intuitive and Pythonic PyTorch. This reflects the latest PyTorch version.
초급
Deep Learning(DL), Artificial Neural Network, PyTorch
[Pytorch] Building Deep Learning Models Using PyTorch
YoungJea Oh
₩43
4시간만
23%
₩33
초급 / Deep Learning(DL), Artificial Neural Network, PyTorch, Anaconda, CNN
5.0
(11)
(UPDATED) Personalized Recommendation Systems using Python | Recommendation Algorithms | Recommendation AI
거친코딩
₩34
초급 / Recommendation System, Deep Learning(DL)
4.7
(44)
Create your own personalized recommendation algorithm by understanding how various recommendation algorithm principles work!
초급
Recommendation System, Deep Learning(DL)
(UPDATED) Personalized Recommendation Systems using Python | Recommendation Algorithms | Recommendation AI
거친코딩
₩34
초급 / Recommendation System, Deep Learning(DL)
4.7
(44)
Machine Learning Engineer Practice
Chris Song
₩68
중급이상 / Machine Learning(ML)
4.4
(87)
This course will help you reduce the amount of trial and error you may experience in machine learning projects. I am in charge of Luid's machine learning pipeline and will teach you from the basics.
중급이상
Machine Learning(ML)
Machine Learning Engineer Practice
Chris Song
₩68
중급이상 / Machine Learning(ML)
4.4
(87)
Understanding the concept of deep learning leading to practical artificial intelligence
dlbro
₩55
입문 / Deep Learning(DL), Artificial Neural Network, Machine Learning(ML)
4.7
(108)
This course provides essential knowledge needed to understand the structure and operating principles of various artificial neural networks and create good models.
입문
Deep Learning(DL), Artificial Neural Network, Machine Learning(ML)
Understanding the concept of deep learning leading to practical artificial intelligence
dlbro
₩55
입문 / Deep Learning(DL), Artificial Neural Network, Machine Learning(ML)
4.7
(108)
Introduction to Deep Learning with TensorFlow 2.0
AISchool
₩26
초급 / Tensorflow, Deep Learning(DL), Machine Learning(ML)
4.6
(70)
This course will teach you the core theories of deep learning and how to implement deep learning code using the latest TensorFlow 2.0.
초급
Tensorflow, Deep Learning(DL), Machine Learning(ML)
Introduction to Deep Learning with TensorFlow 2.0
AISchool
₩26
초급 / Tensorflow, Deep Learning(DL), Machine Learning(ML)
4.6
(70)
Time series data processing using Python and deep learning
YoungJea Oh
₩39
중급이상 / AI, python3, Deep Learning(DL), Financial Engineering, Algorithm, Investment
4.8
(18)
Time is constantly flowing, and data is constantly accumulating. In this dynamic world, time series data plays a vital role in every aspect of our lives. From the volatility of financial markets to subtle signals of climate change, time series data captures it all. Now learn how to interpret and leverage this powerful data using the power of Python and deep learning!
중급이상
AI, python3, Deep Learning(DL)
Time series data processing using Python and deep learning
YoungJea Oh
₩39
중급이상 / AI, python3, Deep Learning(DL), Financial Engineering, Algorithm, Investment
4.8
(18)
Mastering Unity Machine Learning Agents (Application Edition)
kyushik
₩52
중급이상 / Reinforcement Learning(RL), Unity, Unity ML-Agents
5.0
(5)
Through this course, you will learn and use various functions of machine learning agents, such as multi-agents, curriculum learning, and distributed learning. You will also learn about reinforcement learning algorithms that can respond to curiosity-based exploration and variable inputs.
중급이상
Reinforcement Learning(RL), Unity, Unity ML-Agents
Mastering Unity Machine Learning Agents (Application Edition)
kyushik
₩52
중급이상 / Reinforcement Learning(RL), Unity, Unity ML-Agents
5.0
(5)
Hands-on! Machine Learning/Deep Learning Fraud Detection Master Class
YoungJea Oh
₩43
4시간만
23%
₩33
중급이상 / Machine Learning(ML), Deep Learning(DL)
4.6
(25)
Do you know the theory but feel lost when applying it to real-world data? I will pass on practical techniques to solve complex fraudulent transactions directly with code, incorporating my professional know-how.
중급이상
Machine Learning(ML), Deep Learning(DL)
Hands-on! Machine Learning/Deep Learning Fraud Detection Master Class
YoungJea Oh
₩43
4시간만
23%
₩33
중급이상 / Machine Learning(ML), Deep Learning(DL)
4.6
(25)
Introduction to Deep Learning
Masocampus
₩46
23%
₩35
초급 / Deep Learning(DL), Keras
4.0
(1)
What is deep learning? A course to introduce deep learning and how to use it in practice by completely organizing the concept of deep learning!
초급
Deep Learning(DL), Keras
Introduction to Deep Learning
Masocampus
₩46
23%
₩35
초급 / Deep Learning(DL), Keras
4.0
(1)
The First Step into AI Without Math: From Basics to the Latest Trends
jihoonkim
₩59
입문 / Machine Learning(ML), Deep Learning(DL)
4.8
(136)
This lecture is designed to give you a general understanding of AI without overwhelming you with difficult topics like mathematical formulas. It's perfect for learning with a light and easy mindset.
입문
Machine Learning(ML), Deep Learning(DL)
The First Step into AI Without Math: From Basics to the Latest Trends
jihoonkim
₩59
입문 / Machine Learning(ML), Deep Learning(DL)
4.8
(136)
Complete Guide to Unity Machine Learning Agents (Basics)
kyushik
₩52
초급 / Reinforcement Learning(RL), Machine Learning(ML), Unity, Unity ML-Agents
4.2
(25)
Through this course, students will learn various reinforcement learning theories and implement them themselves, as well as create a reinforcement learning environment to test the reinforcement learning algorithm implemented using Unity Machine Learning Agents.
초급
Reinforcement Learning(RL), Machine Learning(ML), Unity
Complete Guide to Unity Machine Learning Agents (Basics)
kyushik
₩52
초급 / Reinforcement Learning(RL), Machine Learning(ML), Unity, Unity ML-Agents
4.2
(25)
Python Machine Learning
Masocampus
₩54
24%
₩41
중급이상 / Machine Learning(ML), Pandas, Numpy, Scikit-Learn, Seaborn, Matplotlib, Python
4.8
(12)
A course to understand and practice machine learning for efficiently conducting complex analysis and predictions! Even machine learning, which may seem difficult and complex, can be easy and fun to master with Masocampus's <Python Machine Learning>.
중급이상
Machine Learning(ML), Pandas, Numpy
Python Machine Learning
Masocampus
₩54
24%
₩41
중급이상 / Machine Learning(ML), Pandas, Numpy, Scikit-Learn, Seaborn, Matplotlib, Python
4.8
(12)
Exploring Deep Learning with Excel - CNN
hjk1000
₩4
초급 / VBA, Excel, CNN
5.0
(5)
Implementing deep learning basics with Excel to deeply understand their meaning! Learn how image data is processed!
초급
VBA, Excel, CNN
Exploring Deep Learning with Excel - CNN
hjk1000
₩4
초급 / VBA, Excel, CNN
5.0
(5)
Deep Learning with Excel
hjk1000
₩4
입문 / Excel, Deep Learning(DL), VBA
4.8
(20)
Let's learn the principles of deep learning by visualizing them with Excel.
입문
Excel, Deep Learning(DL), VBA
Deep Learning with Excel
hjk1000
₩4
입문 / Excel, Deep Learning(DL), VBA
4.8
(20)
Deep Learning Paper Implementation with YOLO Implementation with TensorFlow 2.0
AISchool
₩77
중급이상 / Deep Learning(DL), Tensorflow
4.7
(38)
This course teaches you how to implement deep learning papers by implementing the YOLO (You Only Look Once) paper from scratch using TensorFlow 2.0.
중급이상
Deep Learning(DL), Tensorflow
Deep Learning Paper Implementation with YOLO Implementation with TensorFlow 2.0
AISchool
₩77
중급이상 / Deep Learning(DL), Tensorflow
4.7
(38)
Do It! Introduction to Deep Learning
haesunpark
무료
초급 / Deep Learning(DL), Machine Learning(ML), Artificial Neural Network
4.9
(75)
This lecture guides readers to deep learning with the most appropriate pace and straight direction, one step from concept to formula and one step from coding. In addition, there are over 100 graphs, illustrations, and diagrams, so you can easily and quickly accept abstract concepts. Another unique feature of this lecture is that you can start practicing right away by simply accessing a web browser without installing a program. After comfortably understanding the theory, you can directly code and conquer four representative deep learning problems with your eyes, so it is not lacking as a textbook for deep learning. The concepts or terms that you must go over are reviewed twice in the ‘Wait! Let’s move on to the next’ corner in the middle of the text and the ‘Memory Card’ corner at the end of the chapter to increase the learning effect. Let’s quickly overcome deep learning head-on with ‘Do it! Introduction to Deep Learning.’
초급
Deep Learning(DL), Machine Learning(ML), Artificial Neural Network
Do It! Introduction to Deep Learning
haesunpark
무료
초급 / Deep Learning(DL), Machine Learning(ML), Artificial Neural Network
4.9
(75)
30-Minute Summary Course Season 3: Deep Learning in Your Hands for Beginners!
jejucoding
무료
입문 / Machine Learning(ML), Deep Learning(DL)
4.8
(117)
This lecture is for those who have no knowledge of artificial intelligence, machine learning, deep learning, or data analysis but would like to experience it. I will explain the entire process.
입문
Machine Learning(ML), Deep Learning(DL)
30-Minute Summary Course Season 3: Deep Learning in Your Hands for Beginners!
jejucoding
무료
입문 / Machine Learning(ML), Deep Learning(DL)
4.8
(117)
![Deep Learning and PyTorch Bootcamp for Beginners (Easy! From Basics to ChatGPT's Core Transformer) [Data Analysis/Science Part 3]강의 썸네일](https://cdn.inflearn.com/public/courses/329540/cover/1be7b8cb-800f-48cb-a30c-b7d78996c075/329540-eng.png?f=avif&w=420)
Deep Learning and PyTorch Bootcamp for Beginners (Easy! From Basics to ChatGPT's Core Transformer) [Data Analysis/Science Part 3]
funcoding
₩64
초급 / Deep Learning(DL), PyTorch, Machine Learning(ML), Artificial Neural Network, Vision Transformer
4.9
(95)
This is a newly designed course that allows you to gradually learn the mathematics, theory, PyTorch-based implementation, transfer learning, and GPT's core transformer needed to understand deep learning, based on the instructor's own failed experiences when first learning deep learning.
초급
Deep Learning(DL), PyTorch, Machine Learning(ML)
Deep Learning and PyTorch Bootcamp for Beginners (Easy! From Basics to ChatGPT's Core Transformer) [Data Analysis/Science Part 3]
funcoding
₩64
초급 / Deep Learning(DL), PyTorch, Machine Learning(ML), Artificial Neural Network, Vision Transformer
4.9
(95)
![[Renewed] Python Machine Learning Bootcamp for Beginners (Easy! Learn by Solving Real Kaggle Problems) [Data Analysis/Science Part2]강의 썸네일](https://cdn.inflearn.com/public/courses/327464/cover/55c4db7b-7764-43cc-ac75-d9e8d08098f1/327464-eng.png?f=avif&w=420)
[Renewed] Python Machine Learning Bootcamp for Beginners (Easy! Learn by Solving Real Kaggle Problems) [Data Analysis/Science Part2]
funcoding
₩64
초급 / Machine Learning(ML), Kaggle, Pandas, Python
4.9
(118)
Based on the instructor's own failed experiences when first learning machine learning, this is a newly designed course that differs from existing lectures, making it easy to understand machine learning and apply it to real-world problems
초급
Machine Learning(ML), Kaggle, Pandas
[Renewed] Python Machine Learning Bootcamp for Beginners (Easy! Learn by Solving Real Kaggle Problems) [Data Analysis/Science Part2]
funcoding
₩64
초급 / Machine Learning(ML), Kaggle, Pandas, Python
4.9
(118)
Intuitively Understanding Deep Learning Transformers
nocope
₩42
초급 / Deep Learning(DL), transformer, attention-model
5.0
(5)
Understand the working of Deep Learning Transformer in a pictorial way
초급
Deep Learning(DL), transformer, attention-model
Intuitively Understanding Deep Learning Transformers
nocope
₩42
초급 / Deep Learning(DL), transformer, attention-model
5.0
(5)
Deep Learning Practical Project
Masocampus
₩77
24%
₩58
중급이상 / Deep Learning(DL), CNN, OpenCV, Flask, ngrok
5.0
(2)
I want to classify pictures of pizza and spaghetti! This is a deep learning practical project course that follows the A to Z of a practical project to classify images using CNN, one of the deep learning algorithms.
중급이상
Deep Learning(DL), CNN, OpenCV
Deep Learning Practical Project
Masocampus
₩77
24%
₩58
중급이상 / Deep Learning(DL), CNN, OpenCV, Flask, ngrok
5.0
(2)
Practical Deep Learning Using DNN, CNN, and RNN
Masocampus
₩62
25%
₩46
초급 / CNN, RNN, dnn, Deep Learning(DL), Keras, Tensorflow
4.0
(4)
DNN, CNN, RNN? A deep learning practical course where you can perfectly organize core deep learning algorithms and actually put them to use, even with professional terminology that may seem difficult!
초급
CNN, RNN, dnn
Practical Deep Learning Using DNN, CNN, and RNN
Masocampus
₩62
25%
₩46
초급 / CNN, RNN, dnn, Deep Learning(DL), Keras, Tensorflow
4.0
(4)
Java Machine Learning Weka Intermediate
javaraml
₩26
중급이상 / Java, Machine Learning(ML), Weka
4.8
(6)
This is the second lecture for popularizing Java machine learning. We introduce Weka, which provides UI and API so that both design and coding can be implemented. We have included cases that are completely suitable for practical application in the lecture.
중급이상
Java, Machine Learning(ML), Weka
Java Machine Learning Weka Intermediate
javaraml
₩26
중급이상 / Java, Machine Learning(ML), Weka
4.8
(6)
Machine Learning That Even My Mom Can Do (Basic Theory)
yc
₩11
입문 / Machine Learning(ML), Scikit-Learn
4.9
(17)
The first step in learning AI: We've created the perfect curriculum for AI beginners! The first step: getting familiar with AI foundational theory! Learn basic machine learning concepts with various examples and take quizzes to review the theory!
입문
Machine Learning(ML), Scikit-Learn
Machine Learning That Even My Mom Can Do (Basic Theory)
yc
₩11
입문 / Machine Learning(ML), Scikit-Learn
4.9
(17)
