인프런 - 라이프타임 커리어 플랫폼

강의 리스트

Kaggle Advanced Machine Learning Practical Crash Course
dooleyz3525
₩52
17시간만
29%
₩36
중급이상 / Machine Learning(ML), Kaggle
4.9
(75)
1,500+
답변 활발
답변 활발
미션
미션
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
17시간만
29%
₩36
중급이상 / Machine Learning(ML), Kaggle
4.9
(75)
1,500+
답변 활발
답변 활발
미션
미션
Introduction to Machine Learning/Deep Learning and Python Introductory Course for Learning
YoungJea Oh
₩9
17시간만
25%
₩7
입문 / Machine Learning(ML), Deep Learning(DL), Python, Numpy, Pandas, Matplotlib
4.8
(36)
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
17시간만
25%
₩7
입문 / Machine Learning(ML), Deep Learning(DL), Python, Numpy, Pandas, Matplotlib
4.8
(36)
600+
[Renewal] First-time Python Machine Learning Bootcamp (Easy! Solving Real Kaggle Problems) [Data Analysis/Science Part2]
funcoding
₩59
17시간만
29%
₩42
초급 / Machine Learning(ML), Kaggle, Pandas, Python
4.9
(110)
1,600+
답변 활발
답변 활발
Unlike existing lectures, this course has been newly designed based on the instructor's initial failures in learning machine learning, enabling easy understanding and application to real-world problems.
초급
Machine Learning(ML), Kaggle, Pandas
[Renewal] First-time Python Machine Learning Bootcamp (Easy! Solving Real Kaggle Problems) [Data Analysis/Science Part2]
funcoding
₩59
17시간만
29%
₩42
초급 / Machine Learning(ML), Kaggle, Pandas, Python
4.9
(110)
1,600+
답변 활발
답변 활발
[Pytorch] Building Deep Learning Models with Pytorch
YoungJea Oh
₩43
17시간만
28%
₩31
초급 / PyTorch, Anaconda, CNN, Deep Learning(DL), Artificial Neural Network
5.0
(10)
100+
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
17시간만
28%
₩31
초급 / PyTorch, Anaconda, CNN, Deep Learning(DL), Artificial Neural Network
5.0
(10)
100+
The Complete Guide to Spark Machine Learning - Part 1
dooleyz3525
₩77
17시간만
30%
₩54
중급이상 / Apache Spark, Machine Learning(ML), Big Data, Data Engineering
4.9
(28)
900+
Update
Update
답변 활발
답변 활발
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
17시간만
30%
₩54
중급이상 / Apache Spark, Machine Learning(ML), Big Data, Data Engineering
4.9
(28)
900+
Update
Update
답변 활발
답변 활발
Kaggle Machine Learning for Beginners Learn from Industry Professionals - ML Engineer Practical Tips
AISchool
₩46
17시간만
28%
₩33
초급 / Kaggle, Machine Learning(ML), EDA
4.6
(22)
300+
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
17시간만
28%
₩33
초급 / Kaggle, Machine Learning(ML), EDA
4.6
(22)
300+
[Revised Edition] The Complete Guide to Python Machine Learning
dooleyz3525
₩77
17시간만
30%
₩54
초급 / Python, Machine Learning(ML), Statistics
4.9
(453)
8,500+
답변 활발
답변 활발
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
17시간만
30%
₩54
초급 / Python, Machine Learning(ML), Statistics
4.9
(453)
8,500+
답변 활발
답변 활발
Machine Learning That Even My Mom Can Do (Basic Theory)
yc
₩11
17시간만
30%
₩8
입문 / Machine Learning(ML), Scikit-Learn
4.9
(14)
100+
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
17시간만
30%
₩8
입문 / Machine Learning(ML), Scikit-Learn
4.9
(14)
100+
MLflow with Silicon Valley Engineers
altoformula
₩43
17시간만
28%
₩31
입문 / mlflow, Machine Learning(ML), mlops, Deep Learning(DL), AI
4.7
(18)
100+
답변 활발
답변 활발
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
17시간만
28%
₩31
입문 / mlflow, Machine Learning(ML), mlops, Deep Learning(DL), AI
4.7
(18)
100+
답변 활발
답변 활발
Introduction to Machine Learning and Deep Learning Using Python
YoungJea Oh
₩52
17시간만
29%
₩36
입문 / Machine Learning(ML), Deep Learning(DL), Python, Numpy, Pandas, Matplotlib, Anaconda, Tensorflow, Keras, CNN
4.9
(61)
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
17시간만
29%
₩36
입문 / Machine Learning(ML), Deep Learning(DL), Python, Numpy, Pandas, Matplotlib, Anaconda, Tensorflow, Keras, CNN
4.9
(61)
700+
Deep Learning Next Generation Innovation Technology - Introduction to Physical Information Neural Networks and Pytorch Practice
dlbro
₩55
17시간만
30%
₩39
초급 / PyTorch, Deep Learning(DL), Machine Learning(ML), Artificial Neural Network
4.8
(17)
100+
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
17시간만
30%
₩39
초급 / PyTorch, Deep Learning(DL), Machine Learning(ML), Artificial Neural Network
4.8
(17)
100+
Practical Docker: Creating your own deep learning cloud computer with Docker
danielyouk
₩59
17시간만
29%
₩42
초급 / Docker, Virtualization, Python, Deep Learning(DL), mlops, Azure, Linux, azure-data-lake-gen2
4.7
(14)
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
17시간만
29%
₩42
초급 / Docker, Virtualization, Python, Deep Learning(DL), mlops, Azure, Linux, azure-data-lake-gen2
4.7
(14)
200+
[AI Practice] Getting Started with Paper Implementation for AI Research Engineers with PyTorch
whitebox
₩43
17시간만
28%
₩31
중급이상 / Deep Learning(DL), Generative AI, PyTorch, Computer Vision(CV), Python
5.0
(32)
300+
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
17시간만
28%
₩31
중급이상 / Deep Learning(DL), Generative AI, PyTorch, Computer Vision(CV), Python
5.0
(32)
300+
From Introduction to Reinforcement Learning to Deep Q-learning/Policy Gradient
YoungJea Oh
₩43
17시간만
28%
₩31
중급이상 / Deep Learning(DL), Reinforcement Learning(RL), Python, PyTorch
4.7
(32)
300+
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
17시간만
28%
₩31
중급이상 / Deep Learning(DL), Reinforcement Learning(RL), Python, PyTorch
4.7
(32)
300+
The First Step into AI Without Math: From Basics to the Latest Trends
jihoonkim
₩59
17시간만
29%
₩42
입문 / Machine Learning(ML), Deep Learning(DL)
4.8
(117)
700+
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
17시간만
29%
₩42
입문 / Machine Learning(ML), Deep Learning(DL)
4.8
(117)
700+
Learning Artificial Intelligence and Autonomous Driving with AWS DeepRacer
AI CASTLE
₩54
17시간만
28%
₩39
입문 / DeepRacer, Reinforcement Learning(RL), Autonomous Driving
4.8
(41)
500+
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
17시간만
28%
₩39
입문 / DeepRacer, Reinforcement Learning(RL), Autonomous Driving
4.8
(41)
500+
Math for game development (PART 1)
eazuooz
₩26
17시간만
29%
₩19
초급 / C++, Linear Algebra, game-math
5.0
(17)
1,400+
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
17시간만
29%
₩19
초급 / C++, Linear Algebra, game-math
5.0
(17)
1,400+
Understanding the concept of deep learning leading to practical artificial intelligence
dlbro
₩55
17시간만
30%
₩39
입문 / Deep Learning(DL), Artificial Neural Network, Machine Learning(ML)
4.8
(107)
1,300+
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
17시간만
30%
₩39
입문 / Deep Learning(DL), Artificial Neural Network, Machine Learning(ML)
4.8
(107)
1,300+
Understanding and Implementing Artificial Neural Network Theory and DNN, CNN Architectures
javaspecialist
₩46
17시간만
28%
₩33
초급 / Tensorflow, Artificial Neural Network, CNN, dnn
5.0
(6)
100+
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
17시간만
28%
₩33
초급 / Tensorflow, Artificial Neural Network, CNN, dnn
5.0
(6)
100+
Complete mastery of deep learning theory + PyTorch practice
peterbyun969574
₩220
17시간만
30%
₩154
초급 / Deep Learning(DL), PyTorch, Computer Vision(CV), NLP, transformer, CNN, RNN, LLM
4.9
(62)
400+
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
17시간만
30%
₩154
초급 / Deep Learning(DL), PyTorch, Computer Vision(CV), NLP, transformer, CNN, RNN, LLM
4.9
(62)
400+