인프런 - 라이프타임 커리어 플랫폼

강의 리스트

The Complete Guide to Spark Machine Learning - Part 1
dooleyz3525
₩77
중급이상 / Apache Spark, Machine Learning(ML), Big Data, Data Engineering
4.9
(28)
900+
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
중급이상 / Apache Spark, Machine Learning(ML), Big Data, Data Engineering
4.9
(28)
900+
답변 활발
답변 활발
Kaggle Advanced Machine Learning Practical Crash Course
dooleyz3525
₩52
중급이상 / Machine Learning(ML), Kaggle
4.9
(76)
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
중급이상 / Machine Learning(ML), Kaggle
4.9
(76)
1,500+
답변 활발
답변 활발
미션
미션
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
(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
입문 / Machine Learning(ML), Deep Learning(DL), Python, Numpy, Pandas, Matplotlib
4.8
(36)
600+
[Revised Edition] The Complete Guide to Python Machine Learning
dooleyz3525
₩77
초급 / Python, Machine Learning(ML), Statistics
4.9
(455)
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
초급 / Python, Machine Learning(ML), Statistics
4.9
(455)
8,500+
답변 활발
답변 활발
[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
(112)
1,600+
Update
Update
답변 활발
답변 활발
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
(112)
1,600+
Update
Update
답변 활발
답변 활발
Mathematics for Game Development (PART 1)
eazuooz
₩26
초급 / C++, Linear Algebra, game-math
5.0
(17)
1,400+
Update
Update
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)
1,400+
Update
Update
MLflow with Silicon Valley Engineers
altoformula
₩43
9일만
23%
₩33
입문 / mlflow, Machine Learning(ML), mlops, Deep Learning(DL), AI
4.7
(18)
100+
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
9일만
23%
₩33
입문 / mlflow, Machine Learning(ML), mlops, Deep Learning(DL), AI
4.7
(18)
100+
Time series data processing using Python and deep learning
YoungJea Oh
₩39
중급이상 / AI, python3, Deep Learning(DL), Financial Engineering, Algorithm, Investment
4.8
(17)
200+
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
(17)
200+
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 and TensorFlow for Beginners: The Basics Fast
Jay
₩9
초급 / Deep Learning(DL), Tensorflow, Python, colab
4.9
(46)
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
(46)
2,300+
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
(63)
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
(63)
700+
Machine Learning That Even My Mom Can Do (Basic Theory)
yc
₩11
8일만
20%
₩9
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
8일만
20%
₩9
입문 / Machine Learning(ML), Scikit-Learn
4.9
(14)
100+
Kaggle Machine Learning for Beginners Learn from Industry Professionals - ML Engineer Practical Tips
AISchool
₩46
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
초급 / Kaggle, Machine Learning(ML), EDA
4.6
(22)
300+
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
4.8
(19)
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
초급 / PyTorch, Deep Learning(DL), Machine Learning(ML), Artificial Neural Network
4.8
(19)
100+
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)
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
입문 / Deep Learning(DL), Artificial Neural Network, Machine Learning(ML)
4.8
(106)
1,300+
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
4.7
(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
초급 / Docker, Virtualization, Python, Deep Learning(DL), mlops, Azure, Linux, azure-data-lake-gen2
4.7
(14)
200+
AI-based recommendation system
YoungJea Oh
₩39
중급이상 / Deep Learning(DL), Machine Learning(ML), Recommendation System, Python, Tensorflow
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
중급이상 / Deep Learning(DL), Machine Learning(ML), Recommendation System, Python, Tensorflow
4.4
(8)
[Pytorch] Building Deep Learning Models with Pytorch
YoungJea Oh
₩43
초급 / PyTorch, Anaconda, CNN, Deep Learning(DL), Artificial Neural Network
5.0
(11)
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
초급 / PyTorch, Anaconda, CNN, Deep Learning(DL), Artificial Neural Network
5.0
(11)
100+
The First Step into AI Without Math: From Basics to the Latest Trends
jihoonkim
₩59
입문 / Machine Learning(ML), Deep Learning(DL)
4.8
(118)
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
입문 / Machine Learning(ML), Deep Learning(DL)
4.8
(118)
700+
(UPDATED) Personalized Recommendation System Using Python | Recommendation Algorithm | Recommendation Artificial Intelligence
거친코딩
₩34
초급 / Recommendation System, Deep Learning(DL)
4.7
(42)
1,000+
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
(42)
1,000+