MLflow with Silicon Valley Engineers
altoformula
₩43
입문 / mlflow, Machine Learning(ML), mlops, Deep Learning(DL), AI
4.8
(15)
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
4.8
(15)
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
(35)
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
(35)
![[Pytorch] Building Deep Learning Models with 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 with Pytorch
YoungJea Oh
₩43
내일까지
17%
₩35
초급 / PyTorch, Anaconda, CNN, Deep Learning(DL), Artificial Neural Network
5.0
(9)
Learn how to build deep learning models directly through intuitive and Pythonic PyTorch. This reflects the latest PyTorch version.
초급
PyTorch, Anaconda, CNN
[Pytorch] Building Deep Learning Models with Pytorch
YoungJea Oh
₩43
내일까지
17%
₩35
초급 / PyTorch, Anaconda, CNN, Deep Learning(DL), Artificial Neural Network
5.0
(9)
Time series data processing using Python and deep learning
YoungJea Oh
₩39
내일까지
8%
₩35
중급이상 / AI, python3, Deep Learning(DL), Financial Engineering, Algorithm, Investment
4.7
(13)
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
내일까지
8%
₩35
중급이상 / AI, python3, Deep Learning(DL), Financial Engineering, Algorithm, Investment
4.7
(13)
Machine Learning with JavaScript and Tensorflow.js
YoungJea Oh
₩43
내일까지
17%
₩35
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
내일까지
17%
₩35
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
내일까지
14%
₩44
입문 / Machine Learning(ML), Deep Learning(DL), Python, Numpy, Pandas, Matplotlib, Anaconda, Tensorflow, Keras, CNN
4.8
(53)
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
내일까지
14%
₩44
입문 / Machine Learning(ML), Deep Learning(DL), Python, Numpy, Pandas, Matplotlib, Anaconda, Tensorflow, Keras, CNN
4.8
(53)
![Deep Learning and PyTorch Bootcamp for Beginners (Easy! From Basics to ChatGPT Core Transformer) [Data Analysis/Science Part3]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 Core Transformer) [Data Analysis/Science Part3]
funcoding
₩59
초급 / Deep Learning(DL), PyTorch, Machine Learning(ML), Artificial Neural Network, Vision Transformer
4.9
(85)
This newly designed course, drawing from the instructor's initial deep learning failures, helps you progressively learn deep learning essentials: math, theory, PyTorch-based implementation, transfer learning, and GPT's core Transformer.
초급
Deep Learning(DL), PyTorch, Machine Learning(ML)
Deep Learning and PyTorch Bootcamp for Beginners (Easy! From Basics to ChatGPT Core Transformer) [Data Analysis/Science Part3]
funcoding
₩59
초급 / Deep Learning(DL), PyTorch, Machine Learning(ML), Artificial Neural Network, Vision Transformer
4.9
(85)
Learn PyTorch Deep Learning Basics in 6 Days
hanky7479821
₩34
초급 / PyTorch, Deep Learning(DL), CNN, Python
5.0
(26)
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
(26)
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
(13)
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
(13)
The First Step into AI Without Math: From Basics to the Latest Trends
jihoonkim
₩59
입문 / Machine Learning(ML), Deep Learning(DL)
4.8
(104)
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
(104)
From Introduction to Reinforcement Learning to Deep Q-learning/Policy Gradient
YoungJea Oh
₩43
내일까지
17%
₩35
중급이상 / Deep Learning(DL), Reinforcement Learning(RL), Python, PyTorch
4.6
(31)
All the recent amazing achievements in the field of artificial intelligence have been announced in the field of reinforcement learning. We have covered reinforcement learning technology, which is revolutionizing true artificial intelligence technology such as robots, autonomous driving technology, and human-like machines, from the basics to the advanced level, in an easy-to-understand way for beginners.
중급이상
Deep Learning(DL), Reinforcement Learning(RL), Python
From Introduction to Reinforcement Learning to Deep Q-learning/Policy Gradient
YoungJea Oh
₩43
내일까지
17%
₩35
중급이상 / Deep Learning(DL), Reinforcement Learning(RL), Python, PyTorch
4.6
(31)
![[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
(31)
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
(31)
Deep Learning Next Generation Innovation Technology - Introduction to Physical Information Neural Networks and Pytorch Practice
dlbro
₩55
초급 / PyTorch, Deep Learning(DL), Machine Learning(ML), Artificial Neural Network
4.9
(15)
This is a lecture that studies the physical information neural network, one of the next-generation innovative technologies of deep learning, and implements it directly using Pytorch. Let's learn the next-generation innovative technology of artificial intelligence with me!
초급
PyTorch, Deep Learning(DL), Machine Learning(ML)
Deep Learning Next Generation Innovation Technology - Introduction to Physical Information Neural Networks and Pytorch Practice
dlbro
₩55
초급 / PyTorch, Deep Learning(DL), Machine Learning(ML), Artificial Neural Network
4.9
(15)
Triangles in action! OpenAI Triton beginner
triangle
₩116
초급 / Deep Learning(DL), Python, gpgpu, triton, openai, kernel-programming, CNN, dropout, relu, argmax
4.1
(7)
In this course, you will learn how to program kernels and develop PyTorch modules. You can use the knowledge you have gained to develop models faster.
초급
Deep Learning(DL), Python, gpgpu
Triangles in action! OpenAI Triton beginner
triangle
₩116
초급 / Deep Learning(DL), Python, gpgpu, triton, openai, kernel-programming, CNN, dropout, relu, argmax
4.1
(7)
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
(98)
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
(98)
(UPDATED) Personalized Recommendation System Using Python | Recommendation Algorithm | Recommendation Artificial Intelligence
거친코딩
₩34
초급 / Recommendation System, Deep Learning(DL)
4.7
(41)
By understanding the working principles of various recommendation algorithms, you can create your own personalized recommendation algorithm!
초급
Recommendation System, Deep Learning(DL)
(UPDATED) Personalized Recommendation System Using Python | Recommendation Algorithm | Recommendation Artificial Intelligence
거친코딩
₩34
초급 / Recommendation System, Deep Learning(DL)
4.7
(41)
Deep Learning Paper Implementation with YOLO Implementation with TensorFlow 2.0
AISchool
₩77
중급이상 / Deep Learning(DL), Tensorflow
4.7
(35)
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
(35)
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)
AI-based recommendation system
YoungJea Oh
₩39
내일까지
8%
₩35
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
내일까지
8%
₩35
중급이상 / Deep Learning(DL), Machine Learning(ML), Recommendation System, Python, Tensorflow, kakao-tech
4.4
(8)
Complete mastery of deep learning theory + PyTorch practice
peterbyun969574
₩220
초급 / Deep Learning(DL), PyTorch, Computer Vision(CV), NLP, transformer, CNN, RNN, LLM
4.9
(55)
This course teaches the “core concepts” of deep learning required to work in the deep learning field and the practical skills required to perform actual deep learning projects through hands-on training using PyTorch.
초급
Deep Learning(DL), PyTorch, Computer Vision(CV)
Complete mastery of deep learning theory + PyTorch practice
peterbyun969574
₩220
초급 / Deep Learning(DL), PyTorch, Computer Vision(CV), NLP, transformer, CNN, RNN, LLM
4.9
(55)
![[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
(76)
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
(76)
Self-study machine learning + deep learning
haesunpark
무료
초급 / Machine Learning(ML), Deep Learning(DL)
4.9
(71)
The ultimate machine learning and deep learning tutorial that teaches you like a 1:1 private lesson with Hanbit Media's Honkong series, understand with hundreds of hand drawings, and practice right away with just a browser through Google Colab
초급
Machine Learning(ML), Deep Learning(DL)
Self-study machine learning + deep learning
haesunpark
무료
초급 / Machine Learning(ML), Deep Learning(DL)
4.9
(71)
Hands-on Machine Learning 2
haesunpark
무료
초급 / Tensorflow, Machine Learning(ML), Deep Learning(DL), Keras, Reinforcement Learning(RL), NLP, Scikit-Learn
4.7
(47)
This lecture covers the contents of the Amazon bestseller <Hands-on Machine Learning 2nd Edition>. Using the representative machine learning library, scikit-learn, you will learn various machine learning algorithms and evaluation methods. Also, using the most famous deep learning libraries, TensorFlow and Keras, you will learn theories and practices from artificial neural networks to reinforcement learning. This lecture is not yet complete. One to two lectures will continue to be added every week.
초급
Tensorflow, Machine Learning(ML), Deep Learning(DL)
Hands-on Machine Learning 2
haesunpark
무료
초급 / Tensorflow, Machine Learning(ML), Deep Learning(DL), Keras, Reinforcement Learning(RL), NLP, Scikit-Learn
4.7
(47)
Deep Learning Using Python
SW School
₩102
초급 / Python, Keras, Deep Learning(DL)
5.0
(2)
Learn how to use deep learning with Python and Keras.
초급
Python, Keras, Deep Learning(DL)
Deep Learning Using Python
SW School
₩102
초급 / Python, Keras, Deep Learning(DL)
5.0
(2)
Techniques for detecting abnormal transactions using artificial intelligence
YoungJea Oh
₩43
내일까지
17%
₩35
중급이상 / Machine Learning(ML), Deep Learning(DL)
4.6
(13)
In the modern business world, data security and fraud prevention have become more important than ever. This lecture focuses on how to effectively detect and analyze fraudulent transactions using artificial intelligence (AI). Using Python and machine learning, we will build an AI model that can detect and detect anomalies in various industries, such as fraudulent transactions, credit card fraud, and production line abnormalities, early.
중급이상
Machine Learning(ML), Deep Learning(DL)
Techniques for detecting abnormal transactions using artificial intelligence
YoungJea Oh
₩43
내일까지
17%
₩35
중급이상 / Machine Learning(ML), Deep Learning(DL)
4.6
(13)
30-Minute Summary Course Season 3: Deep Learning in Your Hands for Beginners!
jejucoding
무료
입문 / Machine Learning(ML), Deep Learning(DL)
4.8
(103)
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
(103)
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)
Heart-pounding Artificial Intelligence - Practice Edition -
skmns
₩102
입문 / AI, Deep Learning(DL), Machine Learning(ML)
Artificial intelligence, don't you want to try making one too? Haven't you ever wondered how many artificial intelligence products in our reality, such as self-driving cars, chatbots, and AI speakers, work and how they can be made? If you follow along with no-code and low-code, you can easily make artificial intelligence.
입문
AI, Deep Learning(DL), Machine Learning(ML)
Heart-pounding Artificial Intelligence - Practice Edition -
skmns
₩102
입문 / AI, Deep Learning(DL), Machine Learning(ML)
Deep Learning and TensorFlow for Beginners: The Basics Fast
Jiwoon Jeong
₩9
초급 / Deep Learning(DL), Tensorflow, Python, colab
4.9
(43)
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
Jiwoon Jeong
₩9
초급 / Deep Learning(DL), Tensorflow, Python, colab
4.9
(43)
Introduction to Deep Reinforcement Learning with TensorFlow - Deep Reinforcement Learning
AISchool
₩68
중급이상 / Deep Learning(DL), Tensorflow, Reinforcement Learning(RL)
3.7
(3)
This course will help you build a solid foundation in the basic concepts of reinforcement learning through essential theoretical learning on deep reinforcement learning, and learn the principles of deep reinforcement learning in detail through hands-on practice of implementing actual code using TensorFlow.
중급이상
Deep Learning(DL), Tensorflow, Reinforcement Learning(RL)
Introduction to Deep Reinforcement Learning with TensorFlow - Deep Reinforcement Learning
AISchool
₩68
중급이상 / Deep Learning(DL), Tensorflow, Reinforcement Learning(RL)
3.7
(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)
4.4
(7)
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)
4.4
(7)
Deep Learning with Excel
hjk1000
₩4
입문 / Excel, Deep Learning(DL), VBA
4.7
(15)
Let's visually learn the principles of deep learning using Excel.
입문
Excel, Deep Learning(DL), VBA
Deep Learning with Excel
hjk1000
₩4
입문 / Excel, Deep Learning(DL), VBA
4.7
(15)
Advanced concepts for Deep learning
sorryhyun96
무료
중급이상 / Deep Learning(DL), Machine Learning(ML), NLP, Generative AI
5.0
(6)
To keep up with recent deep learning trends, we examine the context of deep learning's groundbreaking advancements.
중급이상
Deep Learning(DL), Machine Learning(ML), NLP
Advanced concepts for Deep learning
sorryhyun96
무료
중급이상 / Deep Learning(DL), Machine Learning(ML), NLP, Generative AI
5.0
(6)
Machine Learning + Deep Learning with Python (From machine learning using sklearn to deep learning development using TensorFlow and Keras)
ilifo
₩26
초급 / Python, sklearn, Machine Learning(ML), Deep Learning(DL), Keras
4.1
(7)
From the basics of machine learning & deep learning! Creating and utilizing classification/regression/clustering/artificial neural networks with Python
초급
Python, sklearn, Machine Learning(ML)
Machine Learning + Deep Learning with Python (From machine learning using sklearn to deep learning development using TensorFlow and Keras)
ilifo
₩26
초급 / Python, sklearn, Machine Learning(ML), Deep Learning(DL), Keras
4.1
(7)
Deep Learning with Keras
jikim1770
₩68
초급 / Deep Learning(DL), Keras, CNN, RNN
Understand the principles of deep learning and use Keras to simplify the complexity of building and training neural networks using models, layers, and optimization techniques.
초급
Deep Learning(DL), Keras, CNN
Deep Learning with Keras
jikim1770
₩68
초급 / Deep Learning(DL), Keras, CNN, RNN
AI-Driven Practical Application Strategies in Manufacturing (Construction/Civil Engineering Fields)
88888
₩52
48%
₩26
입문 / AI, Generative AI, Big Data, Machine Learning(ML), Deep Learning(DL)
This course is a specialized program that covers practical application strategies for utilizing artificial intelligence (AI) in the construction and civil engineering fields. In the construction industry where digital transformation is accelerating, AI is driving innovation across design, construction, safety, and quality management. This course focuses on learning practical application cases that can be utilized in actual field sites, including smart construction, digital twins, AI-based equipment control, safety monitoring, and quality verification.
입문
AI, Generative AI, Big Data
AI-Driven Practical Application Strategies in Manufacturing (Construction/Civil Engineering Fields)
88888
₩52
48%
₩26
입문 / AI, Generative AI, Big Data, Machine Learning(ML), Deep Learning(DL)
AI-Driven Practical Application Strategies in Manufacturing: Food and Pharmaceutical Industries
88888
₩52
내일까지
48%
₩26
입문 / Machine Learning(ML), Deep Learning(DL), Big Data, AI, Generative AI
This course covers how to leverage AI in the food and pharmaceutical manufacturing industry to enhance productivity and quality. Through real-world case studies, you'll learn how AI is applied in key stages such as raw material management, production processes, quality inspection, and regulatory compliance, while understanding defect rate reduction and efficient operational strategies. Through this course, learners will master ▲characteristics of the food and pharmaceutical industry and the necessity of AI adoption ▲data-driven quality management ▲predictive maintenance and equipment optimization ▲regulatory compliance monitoring and risk management ▲analysis of domestic and international implementation cases, gaining strategies and insights that can be immediately applied in the field.
입문
Machine Learning(ML), Deep Learning(DL), Big Data
AI-Driven Practical Application Strategies in Manufacturing: Food and Pharmaceutical Industries
88888
₩52
내일까지
48%
₩26
입문 / Machine Learning(ML), Deep Learning(DL), Big Data, AI, Generative AI
![[ICT Archive] Big Data Core and Business Models강의 썸네일](https://cdn.inflearn.com/public/files/courses/338811/cover/01k44rs7zkwq0ehc8vqsy2mdtb?f=avif&w=420)
[ICT Archive] Big Data Core and Business Models
kpcre
₩69
입문 / Big Data, Machine Learning(ML), Deep Learning(DL)
Understand the basic concepts and latest trends of big data, and through technical understanding of big data analysis techniques, extract data patterns to present methods for business application. Through big data, you can create new businesses and develop insights into future business environments.
입문
Big Data, Machine Learning(ML), Deep Learning(DL)
[ICT Archive] Big Data Core and Business Models
kpcre
₩69
입문 / Big Data, Machine Learning(ML), Deep Learning(DL)
Artificial Intelligence (AI) - Learning Ideogram AI that Creates New Images
usefulit
₩11
입문 / AI, Generative AI, Deep Learning(DL), Machine Learning(ML)
This course is a hands-on program that covers everything from the basics of understanding and utilizing AI platforms to AI image generation technology. Learners can master the fundamental concepts and tools of AI and develop the ability to generate AI images using these skills. The course is designed to be easily accessible even for learners who are new to AI technology, providing an opportunity to quickly master AI image generation techniques that can be applied in real life.
입문
AI, Generative AI, Deep Learning(DL)
Artificial Intelligence (AI) - Learning Ideogram AI that Creates New Images
usefulit
₩11
입문 / AI, Generative AI, Deep Learning(DL), Machine Learning(ML)
Heart-pounding Artificial Intelligence - Concept Edition -
skmns
₩102
입문 / AI, Deep Learning(DL), Machine Learning(ML)
5.0
(1)
Are you excited about the future that AI will bring? AI! AI! AI! The world of AI is coming. Are you excited about the future that AI will change? Are you afraid? Let's learn AI properly and welcome AI!
입문
AI, Deep Learning(DL), Machine Learning(ML)
Heart-pounding Artificial Intelligence - Concept Edition -
skmns
₩102
입문 / AI, Deep Learning(DL), Machine Learning(ML)
5.0
(1)
