인프런 - 라이프타임 커리어 플랫폼

관련 스킬

관련 스킬

강의 리스트

[Revised Edition] The Complete Guide to Python Machine Learning
dooleyz3525
₩77
초급 / Python, Machine Learning(ML), Statistics
4.9
(480)
8,700+
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
(480)
8,700+
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
(42)
600+
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
(42)
600+
Understanding the Fundamentals and Operating Principles of Generative AI
YoungJea Oh
₩43
중급이상 / Python, openai, multimodal, AI, transformer
4.8
(93)
400+
미션
미션
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
(93)
400+
미션
미션
Introduction to Machine Learning and Deep Learning Using Python
YoungJea Oh
₩52
입문 / Machine Learning(ML), Deep Learning(DL), Python, Numpy, Pandas, Matplotlib, Anaconda, Tensorflow, Keras, CNN
4.9
(66)
700+
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
입문 / Machine Learning(ML), Deep Learning(DL), Python, Numpy, Pandas, Matplotlib, Anaconda, Tensorflow, Keras, CNN
4.9
(66)
700+
Hands-on! Building a Deep Learning-Based Recommendation System
YoungJea Oh
₩39
중급이상 / Python, Machine Learning(ML), Deep Learning(DL), Tensorflow, Recommendation System
4.5
(10)
100+
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
4.5
(10)
100+
[Renewed] Python Machine Learning Bootcamp for Beginners (Easy! Learn by Solving Real Kaggle Problems) [Data Analysis/Science Part2]
funcoding
₩68
초급 / Machine Learning(ML), Kaggle, Pandas, Python
4.8
(120)
1,700+
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
₩68
초급 / Machine Learning(ML), Kaggle, Pandas, Python
4.8
(120)
1,700+
Python Machine Learning
Masocampus
₩54
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
중급이상 / Machine Learning(ML), Pandas, Numpy, Scikit-Learn, Seaborn, Matplotlib, Python
4.8
(12)
From Introduction to Reinforcement Learning to Deep Q-learning/Policy Gradient
YoungJea Oh
₩43
중급이상 / Python, Deep Learning(DL), Reinforcement Learning(RL), PyTorch
4.7
(36)
300+
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
중급이상 / Python, Deep Learning(DL), Reinforcement Learning(RL), PyTorch
4.7
(36)
300+
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
4.8
(16)
200+
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
4.8
(16)
200+
Learn PyTorch Deep Learning Basics in 6 Days
hanky7479821
₩34
초급 / PyTorch, Deep Learning(DL), CNN, Python
4.9
(54)
600+
미션
미션
If you invest 3 hours a day for 6 days, you can learn the basics of deep learning using PyTorch. So, shall we 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
4.9
(54)
600+
미션
미션
[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
(82)
1,400+
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
(82)
1,400+
Deep Learning and TensorFlow for Beginners: The Basics Fast
Jay
₩9
초급 / Deep Learning(DL), Tensorflow, Python, colab
4.9
(48)
2,300+
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)
2,300+
Deep Learning Using Python
SW School
₩102
초급 / Python, Keras, Deep Learning(DL)
4.0
(4)
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)
4.0
(4)
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
3.9
(9)
200+
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
3.9
(9)
200+
Complete Mastery of Big Data Analysis Certification Practical Exam Past Questions [Includes all previous sessions · Continuous updates · Dedicated practice environment provided]
algolearn
₩26
초급 / Pandas, statistical-test, sklearn, Engineer Big Data Analysis, Python
New
New
답변 활발
답변 활발
Prepare perfectly for the Goorm environment—the biggest challenge of the Big Data Analysis Certification practical exam—on the practice platform provided by Algorun. Practice past exam questions for Task Types 1, 2, and 3 repeatedly in a setting identical to the actual exam environment to gain an intuitive feel for the test rather than just memorizing code. This is a practice-oriented lecture designed to train your hands to move automatically in an environment that differs from Colab or Jupyter.
초급
Pandas, statistical-test, sklearn
Complete Mastery of Big Data Analysis Certification Practical Exam Past Questions [Includes all previous sessions · Continuous updates · Dedicated practice environment provided]
algolearn
₩26
초급 / Pandas, statistical-test, sklearn, Engineer Big Data Analysis, Python
New
New
답변 활발
답변 활발
Triangles in action! OpenAI Triton beginner
triangle
₩116
초급 / Deep Learning(DL), Python, gpgpu, triton, openai, kernel-programming, CNN, dropout, relu, argmax
4.3
(9)
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
4.3
(9)
[Python] Easily understand and implement machine learning without math
dlbro
₩52
입문 / Machine Learning(ML), Python, Scikit-Learn, Big Data
4.7
(45)
100+
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)
100+
Deep Learning and PyTorch [and Image Classification]
vmproductor0202
₩26
입문 / Python, Deep Learning(DL), PyTorch, image-classification, AI
Learn deep learning through PyTorch. Ultimately, the course covers image classification.
입문
Python, Deep Learning(DL), PyTorch
Deep Learning and PyTorch [and Image Classification]
vmproductor0202
₩26
입문 / Python, Deep Learning(DL), PyTorch, image-classification, AI
[AICE] Customized lecture for passing the Basic level
AICE
₩246
입문 / AICE-Certificate, Python, Machine Learning(ML), Deep Learning(DL), Data literacy
5.0
(1)
Update
Update
1. AI practice using an AutoML platform that performs data analysis and AI modeling without coding 2. Carrying out the entire process from data exploration, visualization, and preprocessing for data analysis to AI modeling 3. This course is optimized for passing AICE Basic, an AI certification organized by KT
입문
AICE-Certificate, Python, Machine Learning(ML)
[AICE] Customized lecture for passing the Basic level
AICE
₩246
입문 / AICE-Certificate, Python, Machine Learning(ML), Deep Learning(DL), Data literacy
5.0
(1)
Update
Update
Deep Learning with PyTorch Part 2: Practical Deep Learning Projects with PyTorch Lightning
softcampus
₩77
초급 / Python, AI, PyTorch, pytorch-lightning
"From the basics to 7 domain projects, completing the A to Z of deep learning (41 lectures in total)." Go beyond simply calling models and learn how to build clean, efficient deep learning pipelines using PyTorch Lightning, the current industry trend. Grow into a confident AI engineer capable of handling any data by directly implementing 7 projects, ranging from stock price prediction to generative AI, medical imaging, and sound analysis.
초급
Python, AI, PyTorch
Deep Learning with PyTorch Part 2: Practical Deep Learning Projects with PyTorch Lightning
softcampus
₩77
초급 / Python, AI, PyTorch, pytorch-lightning