A Complete Guide to Deep Learning CNN - TensorFlow Keras Version
dooleyz3525
₩85
초급 / Deep Learning(DL), CNN, Tensorflow, Keras, Kaggle, Machine Learning(ML)
4.9
(118)
From core theories of Deep Learning and CNN to implementation methods of various CNN models, and practical Deep Learning development know-how through real-world problems, If you want to become a Deep Learning CNN technology expert, join us in this lecture :)
초급
Deep Learning(DL), CNN, Tensorflow
A Complete Guide to Deep Learning CNN - TensorFlow Keras Version
dooleyz3525
₩85
초급 / Deep Learning(DL), CNN, Tensorflow, Keras, Kaggle, Machine Learning(ML)
4.9
(118)
The Complete Guide to Spark Machine Learning - Part 1
dooleyz3525
₩77
중급이상 / Apache Spark, Machine Learning(ML), Big Data, Data Engineering
4.9
(28)
If you want to be recognized as a machine learning expert based on large-scale data, from understanding the core framework of Spark machine learning, to SQL-based data processing through difficult practical problems, to data analysis through business domain analysis, and to the ability to implement optimized machine learning models, please join this course.
중급이상
Apache Spark, Machine Learning(ML), Big Data
The Complete Guide to Spark Machine Learning - Part 1
dooleyz3525
₩77
중급이상 / Apache Spark, Machine Learning(ML), Big Data, Data Engineering
4.9
(28)
![[Revised Edition] A Complete Guide to Deep Learning Computer Vision강의 썸네일](https://cdn.inflearn.com/public/courses/325035/cover/f4bbef4d-d9a9-4def-a3a5-738a9eed8245/325035-eng.jpg?f=avif&w=420)
[Revised Edition] A Complete Guide to Deep Learning Computer Vision
dooleyz3525
₩94
중급이상 / Machine Learning(ML), Tensorflow, Python, Deep Learning(DL), Keras, Computer Vision(CV)
4.9
(161)
This course will help you become a deep learning-based computer vision expert who is needed in the field by providing a deep theoretical explanation of object detection and segmentation and practical examples that can be used immediately in the field.
중급이상
Machine Learning(ML), Tensorflow, Python
[Revised Edition] A Complete Guide to Deep Learning Computer Vision
dooleyz3525
₩94
중급이상 / Machine Learning(ML), Tensorflow, Python, Deep Learning(DL), Keras, Computer Vision(CV)
4.9
(161)
LangChain Basics in One Hour
jasonkang
₩4
입문 / LLM, LangChain, prompt engineering, kakao-tech
4.9
(219)
This is a basic LangChain lecture that extracts the key points from official documents for the price of a cup of coffee. Get familiar with LangChain grammar before you start developing!
입문
LLM, LangChain, prompt engineering
LangChain Basics in One Hour
jasonkang
₩4
입문 / LLM, LangChain, prompt engineering, kakao-tech
4.9
(219)
Data Science(DS) and AI Learning & Career Guide for Non-Majors/Beginners
AISchool
₩23
입문 / Deep Learning(DL), Machine Learning(ML)
5.0
(38)
Data Science(DS) & Artificial Intelligence(AI) job role analysis, plus a learning & employment roadmap for building a career in these roles.
입문
Deep Learning(DL), Machine Learning(ML)
Data Science(DS) and AI Learning & Career Guide for Non-Majors/Beginners
AISchool
₩23
입문 / Deep Learning(DL), Machine Learning(ML)
5.0
(38)
How to Make Money with AI - AI Transformation Through Case Studies
AISchool
₩26
입문 / Service Planning
4.7
(60)
Through AI company reviews, we examine how AI technology will change our present and future through various cases. By examining the necessary elements for carrying out AI projects, we prepare for the upcoming AI Transformation.
입문
Service Planning
How to Make Money with AI - AI Transformation Through Case Studies
AISchool
₩26
입문 / Service Planning
4.7
(60)
![[Revised Edition] The Complete Guide to Python Machine Learning강의 썸네일](https://cdn.inflearn.com/public/courses/324238/cover/7e380aa0-48ba-4ee7-a6b2-8da7900568d6/324238-eng.png?f=avif&w=420)
[Revised Edition] The Complete Guide to Python Machine Learning
dooleyz3525
₩77
초급 / Python, Machine Learning(ML), Statistics
4.9
(446)
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
(446)
Math for game development (PART 1)
eazuooz
₩26
초급 / C++, Linear Algebra, game-math
5.0
(17)
This is a lecture where you easily learn important mathematical concepts used in games. People who know math well take that knowledge for granted, so they cannot teach under the assumption that you know nothing. I will explain from a beginner's perspective, truly treating you as someone with no prior knowledge.
초급
C++, Linear Algebra, game-math
Math for game development (PART 1)
eazuooz
₩26
초급 / C++, Linear Algebra, game-math
5.0
(17)
AI Agent Development Using LangGraph (feat. MCP)
jasonkang
₩54
초급 / prompt engineering, LLM, AI Agent, LangGraph, Model Context Protocol, kakao-tech
4.9
(131)
LangGraph, packed with a major corporation's AI Agent lead's know-how. We deliver knowledge gained from real-world challenges.
초급
prompt engineering, LLM, AI Agent
AI Agent Development Using LangGraph (feat. MCP)
jasonkang
₩54
초급 / prompt engineering, LLM, AI Agent, LangGraph, Model Context Protocol, kakao-tech
4.9
(131)
Understanding the Latest Big Data and Artificial Intelligence Trends
YoungJea Oh
₩18
입문 / AI, Big Data
4.7
(26)
Navigate the data ocean, explore AI's future. This course explores the vast tech currents of Big Data and AI, examining their innovation in our lives and work.
입문
AI, Big Data
Understanding the Latest Big Data and Artificial Intelligence Trends
YoungJea Oh
₩18
입문 / AI, Big Data
4.7
(26)
Machine Learning with JavaScript and Tensorflow.js
YoungJea Oh
₩43
6일만
23%
₩33
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
6일만
23%
₩33
초급 / Machine Learning(ML), Deep Learning(DL), JavaScript, tensorflow-js
5.0
(3)
Introduction to Machine Learning and Deep Learning Using Python
YoungJea Oh
₩52
6일만
23%
₩40
입문 / Machine Learning(ML), Deep Learning(DL), Python, Numpy, Pandas, Matplotlib, Anaconda, Tensorflow, Keras, CNN
4.9
(58)
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
6일만
23%
₩40
입문 / Machine Learning(ML), Deep Learning(DL), Python, Numpy, Pandas, Matplotlib, Anaconda, Tensorflow, Keras, CNN
4.9
(58)
Developing LLM Applications Using RAG (feat. LangChain)
jasonkang
₩52
초급 / LLM, RAG, LangChain, vector-database, openAI API, kakao-tech
4.9
(394)
RAG. Learn from Silicon Valley GenAI Hackathon Winner. Packed with real-world know-how.
초급
LLM, RAG, LangChain
Developing LLM Applications Using RAG (feat. LangChain)
jasonkang
₩52
초급 / LLM, RAG, LangChain, vector-database, openAI API, kakao-tech
4.9
(394)
AI Era Silicon Valley Internship & US Big Tech System Design & Open Source Practical Contribution Complete Course That Won't Be Replaced
americasnail
₩204
중급이상 / DBMS/RDBMS, software-design, system-design, AI, ood
4.5
(15)
AI Era-Proof Silicon Valley Internship & 30 Big Tech System Design & Open Source Practical Contribution Complete Course Mission Submission All students can apply for a US Palo Alto local AI startup internship, with document screening exemption and interview opportunities provided, and this is a course where you design and scale 30 practical system designs using big tech cases like Netflix, Tesla, Meta, Tinder, etc. At the end, you design your own service from architecture → DB → scaling, contribute to an actually operating open source AI coding agent project (achieving 1.8k downloads per week), complete your portfolio, and finalize your resume.
중급이상
DBMS/RDBMS, software-design, system-design
AI Era Silicon Valley Internship & US Big Tech System Design & Open Source Practical Contribution Complete Course That Won't Be Replaced
americasnail
₩204
중급이상 / DBMS/RDBMS, software-design, system-design, AI, ood
4.5
(15)
RAG System Implemented with AI Agents (w. LangGraph)
pdstudio
₩77
초급 / AI Agent, LangGraph, RAG, LLM, LangChain, kakao-tech
4.9
(126)
Implementing a Retrieval-Augmented Generation (RAG) Intelligent AI Agent with LangGraph! From theory to practice, this is a hands-on tutorial that even beginners can easily follow.
초급
AI Agent, LangGraph, RAG
RAG System Implemented with AI Agents (w. LangGraph)
pdstudio
₩77
초급 / AI Agent, LangGraph, RAG, LLM, LangChain, kakao-tech
4.9
(126)
RAG Master: From Basics to Advanced Techniques (feat. LangChain)
pdstudio
₩94
초급 / RAG, LangChain, LLM, Chatbot, Python, kakao-tech
4.8
(60)
This lecture covers RAG (Retrieval-Augmented Generation) system fundamentals and implementation using LangChain. Participants will understand RAG's core principles and learn to build and evaluate systems using LangChain.
초급
RAG, LangChain, LLM
RAG Master: From Basics to Advanced Techniques (feat. LangChain)
pdstudio
₩94
초급 / RAG, LangChain, LLM, Chatbot, Python, kakao-tech
4.8
(60)
MLflow with Silicon Valley Engineers
altoformula
₩43
입문 / mlflow, Machine Learning(ML), mlops, Deep Learning(DL), AI
4.7
(18)
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
(18)
Silicon Valley Engineer's Guide to LangChain, LangGraph, and MCP
altoformula
₩52
초급 / LLM, LangChain, prompt engineering, NLP, openai
4.8
(32)
Become a pioneer in the latest large language model (LLM) technology through Langchain online lectures! This course provides practical skills and innovative knowledge that will upgrade your career. #LangChain #LangGraph #LangSmith #MCP
초급
LLM, LangChain, prompt engineering
Silicon Valley Engineer's Guide to LangChain, LangGraph, and MCP
altoformula
₩52
초급 / LLM, LangChain, prompt engineering, NLP, openai
4.8
(32)
Everyone's Korean Text Analysis and Natural Language Processing with Python
todaycode
₩59
초급 / NLP, Text Mining, Machine Learning(ML), data-clustering, Big Data, Data literacy, Python
4.9
(23)
Python Korean Text Analysis and Natural Language Processing: Word Cloud Visualization, Morphological Analysis, Topic Modeling, Clustering, Similarity Analysis, Bag of Words and TF-IDF for Text Data Vectorization, Text Classification Using Machine Learning and Deep Learning, and How to Use Hugging Face
초급
NLP, Text Mining, Machine Learning(ML)
Everyone's Korean Text Analysis and Natural Language Processing with Python
todaycode
₩59
초급 / NLP, Text Mining, Machine Learning(ML), data-clustering, Big Data, Data literacy, Python
4.9
(23)
Silicon Valley Engineer's Guide to OpenAI API (ChatGPT)
altoformula
₩34
초급 / ChatGPT, Python, openai, Midjourney
4.9
(69)
Envision the future with OpenAI API! OpenAI is a leader in the field of artificial intelligence, always providing cutting-edge technology. The GPT-4-based OpenAI API enables human-like conversations, demonstrating remarkable capabilities applicable to various fields.
초급
ChatGPT, Python, openai
Silicon Valley Engineer's Guide to OpenAI API (ChatGPT)
altoformula
₩34
초급 / ChatGPT, Python, openai, Midjourney
4.9
(69)
How does artificial intelligence learn? - Learning AI principles for fun
AI CASTLE
₩17
입문 / Machine Learning(ML), Deep Learning(DL), Reinforcement Learning(RL)
4.7
(55)
A general education lecture for the public to shed the vague fear of artificial intelligence. Through concrete examples, we learn what AI learning truly means. Also, via specific examples, we examine AI's 'brain structure' and how it thinks.
입문
Machine Learning(ML), Deep Learning(DL), Reinforcement Learning(RL)
How does artificial intelligence learn? - Learning AI principles for fun
AI CASTLE
₩17
입문 / Machine Learning(ML), Deep Learning(DL), Reinforcement Learning(RL)
4.7
(55)
Kaggle Machine Learning for Beginners Learn from Industry Professionals - ML Engineer Practical Tips
AISchool
₩46
초급 / Kaggle, Machine Learning(ML), EDA
4.6
(22)
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
(22)
Understanding the concept of deep learning leading to practical artificial intelligence
dlbro
₩55
입문 / Deep Learning(DL), Artificial Neural Network, Machine Learning(ML)
4.8
(106)
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)
4.8
(106)
Kaggle Advanced Machine Learning Practical Crash Course
dooleyz3525
₩52
중급이상 / Machine Learning(ML), Kaggle
4.9
(75)
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
(75)
(For Product Managers) Fundamentals of LLM and Understanding LLM-Based Service Planning
arigaram
₩43
입문 / NLP, gpt, AI, ChatGPT, LLM
3.9
(7)
Describes the need for LLM, its technical background, and basic concepts.
입문
NLP, gpt, AI
(For Product Managers) Fundamentals of LLM and Understanding LLM-Based Service Planning
arigaram
₩43
입문 / NLP, gpt, AI, ChatGPT, LLM
3.9
(7)
Understanding the Fundamentals and Operating Principles of Generative AI
YoungJea Oh
₩43
6일만
23%
₩33
중급이상 / Generative AI, transformer, multimodal, Python, openai
4.8
(57)
Understand the operating principles of deep learning-based generative AI models and acquire utilization methods through hands-on practice.
중급이상
Generative AI, transformer, multimodal
Understanding the Fundamentals and Operating Principles of Generative AI
YoungJea Oh
₩43
6일만
23%
₩33
중급이상 / Generative AI, transformer, multimodal, Python, openai
4.8
(57)
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)
Learn PyTorch Deep Learning Basics in 6 Days
hanky7479821
₩34
초급 / PyTorch, Deep Learning(DL), CNN, Python
5.0
(28)
If you invest 3 hours a day for 6 days, you can learn the basics of deep learning using PyTorch. Let's get started!
초급
PyTorch, Deep Learning(DL), CNN
Learn PyTorch Deep Learning Basics in 6 Days
hanky7479821
₩34
초급 / PyTorch, Deep Learning(DL), CNN, Python
5.0
(28)
![[AI Practice] Getting Started with Paper Implementation for AI Research Engineers with PyTorch강의 썸네일](https://cdn.inflearn.com/public/courses/334289/cover/b8885796-1e67-4983-9432-bcda0daae927/334289.png?f=avif&w=420)
[AI Practice] Getting Started with Paper Implementation for AI Research Engineers with PyTorch
whitebox
₩43
중급이상 / Deep Learning(DL), Generative AI, PyTorch, Computer Vision(CV), Python
5.0
(32)
When researching AI or conducting a project using it, basic paper implementation is essential. Let's upgrade our practical skills by implementing an actual paper through this lecture!
중급이상
Deep Learning(DL), Generative AI, PyTorch
[AI Practice] Getting Started with Paper Implementation for AI Research Engineers with PyTorch
whitebox
₩43
중급이상 / Deep Learning(DL), Generative AI, PyTorch, Computer Vision(CV), Python
5.0
(32)
LLM Basics to Latest RAG·LangChain: Master LLM Fundamentals in Just 5 Hours!
HappyAI
₩68
초급 / Chatbot, LLM, LangChain, RAG, openAI API
5.0
(16)
This is a course to master the core technologies of LLM basic theory, LangChain, and RAG. You can easily learn the latest AI technologies used in practice, from LLM basics!
초급
Chatbot, LLM, LangChain
LLM Basics to Latest RAG·LangChain: Master LLM Fundamentals in Just 5 Hours!
HappyAI
₩68
초급 / Chatbot, LLM, LangChain, RAG, openAI API
5.0
(16)
Large Language Model LLM for Everyone Part 4 - Learning RAG Implementation by Building an AI Customer Service Chatbot (AICC)
AISchool
₩59
중급이상 / LangChain, RAG, openAI API, LLM, Chatbot
4.4
(8)
This lecture covers building practical RAG (Retrieval-Augmented Generation) systems while developing an AI customer service chatbot (AICC).
중급이상
LangChain, RAG, openAI API
Large Language Model LLM for Everyone Part 4 - Learning RAG Implementation by Building an AI Customer Service Chatbot (AICC)
AISchool
₩59
중급이상 / LangChain, RAG, openAI API, LLM, Chatbot
4.4
(8)
Learning Artificial Intelligence and Autonomous Driving with AWS DeepRacer
AI CASTLE
₩54
입문 / DeepRacer, Reinforcement Learning(RL), Autonomous Driving
4.8
(40)
Make your own AI autonomous vehicle! This is a course where you can learn about AI and reinforcement learning in the most fun and fastest way. This course was produced by the developer ranked #1 in DeepRacer Korea.
입문
DeepRacer, Reinforcement Learning(RL), Autonomous Driving
Learning Artificial Intelligence and Autonomous Driving with AWS DeepRacer
AI CASTLE
₩54
입문 / DeepRacer, Reinforcement Learning(RL), Autonomous Driving
4.8
(40)
Introduction to Deep Learning Natural Language Processing with Examples NLP with TensorFlow - From RNN to BERT
AISchool
₩68
초급 / Deep Learning(DL), NLP, Tensorflow
4.4
(31)
From the basics of deep learning natural language processing to the latest models such as Transformer and BERT, learn the principles and utilization methods of deep learning natural language processing (NLP) through various examples and practical code implementations.
초급
Deep Learning(DL), NLP, Tensorflow
Introduction to Deep Learning Natural Language Processing with Examples NLP with TensorFlow - From RNN to BERT
AISchool
₩68
초급 / Deep Learning(DL), NLP, Tensorflow
4.4
(31)
From the concept of the latest deep learning technology Vision Transformer to Pytorch implementation
dlbro
₩66
중급이상 / Vision Transformer, Deep Learning(DL), PyTorch, Computer Vision(CV)
4.8
(91)
This is a lecture that studies Vision Transformer, one of the latest deep learning technologies, and implements a paper using Pytorch. Come experience the new future of the vision field with me!
중급이상
Vision Transformer, Deep Learning(DL), PyTorch
From the concept of the latest deep learning technology Vision Transformer to Pytorch implementation
dlbro
₩66
중급이상 / Vision Transformer, Deep Learning(DL), PyTorch, Computer Vision(CV)
4.8
(91)
Deep Learning Paper Implementation with YOLO Implementation with TensorFlow 2.0
AISchool
₩77
중급이상 / Deep Learning(DL), Tensorflow
4.7
(36)
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
(36)
![[PyTorch] Deep Learning Leading to Practical AI - From Basics to Paper Implementation강의 썸네일](https://cdn.inflearn.com/public/courses/326248/cover/945f4b20-e4e1-4d10-8e64-f2757c01736b?f=avif&w=420)
[PyTorch] Deep Learning Leading to Practical AI - From Basics to Paper Implementation
dlbro
₩57
초급 / Deep Learning(DL), Python, PyTorch, Artificial Neural Network, Machine Learning(ML)
4.6
(78)
This is a lecture on implementing various artificial neural networks using PyTorch, a deep learning framework with very high utility in the field of artificial intelligence.
초급
Deep Learning(DL), Python, PyTorch
[PyTorch] Deep Learning Leading to Practical AI - From Basics to Paper Implementation
dlbro
₩57
초급 / Deep Learning(DL), Python, PyTorch, Artificial Neural Network, Machine Learning(ML)
4.6
(78)
Introduction to Deep Learning with TensorFlow 2.0
AISchool
₩26
초급 / Tensorflow, Deep Learning(DL), Machine Learning(ML)
4.6
(64)
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
(64)
(For Planners) LLM Application Service Case Analysis
arigaram
₩9
입문 / NLP, Service Planning, Content Planning, LLM
5.0
(1)
Let's explore the types of applications or web services that can be built using LLMs.
입문
NLP, Service Planning, Content Planning
(For Planners) LLM Application Service Case Analysis
arigaram
₩9
입문 / NLP, Service Planning, Content Planning, LLM
5.0
(1)
Understanding and Implementing Artificial Neural Network Theory and DNN, CNN Architectures
javaspecialist
₩46
초급 / Tensorflow, Artificial Neural Network, CNN, dnn
5.0
(6)
We will introduce how to create deep learning models and CNN models using artificial neural network algorithms.
초급
Tensorflow, Artificial Neural Network, CNN
Understanding and Implementing Artificial Neural Network Theory and DNN, CNN Architectures
javaspecialist
₩46
초급 / Tensorflow, Artificial Neural Network, CNN, dnn
5.0
(6)
AI-based recommendation system
YoungJea Oh
₩39
6일만
20%
₩31
중급이상 / Deep Learning(DL), Machine Learning(ML), Recommendation System, Python, Tensorflow, kakao-tech
4.4
(8)
This course covers everything from the basic concepts of recommendation systems to the principles of applying deep learning. Learn about various recommendation algorithms such as collaborative filtering, content-based filtering, and hybrid recommendation systems, and develop practical skills for developing recommendation services!
중급이상
Deep Learning(DL), Machine Learning(ML), Recommendation System
AI-based recommendation system
YoungJea Oh
₩39
6일만
20%
₩31
중급이상 / Deep Learning(DL), Machine Learning(ML), Recommendation System, Python, Tensorflow, kakao-tech
4.4
(8)
