인프런 - 라이프타임 커리어 플랫폼

강의 리스트

Spark Machine Learning Complete Guide - Part 1
dooleyz3525
₩77
중급이상 / Apache Spark, Machine Learning(ML), Big Data, Data Engineering
4.9
(29)
900+
Update
Update
답변 활발
답변 활발
If you want to be recognized as a machine learning expert in large-scale data environments—from understanding the core framework of Spark Machine Learning to SQL-based data processing through high-difficulty practical problems, and the ability to implement optimized machine learning models through business domain analysis—join this course.
중급이상
Apache Spark, Machine Learning(ML), Big Data
Spark Machine Learning Complete Guide - Part 1
dooleyz3525
₩77
중급이상 / Apache Spark, Machine Learning(ML), Big Data, Data Engineering
4.9
(29)
900+
Update
Update
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
[Revised Edition] The Complete Guide to Python Machine Learning
dooleyz3525
₩77
초급 / Python, Machine Learning(ML), Statistics
4.9
(471)
8,600+
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
(471)
8,600+
답변 활발
답변 활발
MLflow with Silicon Valley Engineers
altoformula
₩43
입문 / mlflow, Machine Learning(ML), mlops, Deep Learning(DL), AI
4.7
(21)
200+
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
입문 / mlflow, Machine Learning(ML), mlops, Deep Learning(DL), AI
4.7
(21)
200+
답변 활발
답변 활발
AI-based recommendation system
YoungJea Oh
₩39
6일만
8%
₩35
중급이상 / Deep Learning(DL), Machine Learning(ML), Recommendation System, Python, Tensorflow
4.4
(8)
100+
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
8%
₩35
중급이상 / Deep Learning(DL), Machine Learning(ML), Recommendation System, Python, Tensorflow
4.4
(8)
100+
Introduction to Deep Learning with TensorFlow 2.0
AISchool
₩26
초급 / Tensorflow, Deep Learning(DL), Machine Learning(ML)
4.6
(69)
900+
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
(69)
900+
[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
(117)
1,700+
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
(117)
1,700+
답변 활발
답변 활발
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
(40)
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
(40)
600+
[Python] Easily understand and implement machine learning without math
dlbro
₩52
입문 / Machine Learning(ML), Python, Scikit-Learn, Big Data
4.7
(45)
100+
답변 활발
답변 활발
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+
답변 활발
답변 활발
The First Step into AI Without Math: From Basics to the Latest Trends
jihoonkim
₩59
입문 / Machine Learning(ML), Deep Learning(DL)
4.8
(132)
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
(132)
700+
Machine Learning Engineer Practice
Chris Song
₩68
중급이상 / Machine Learning(ML)
4.4
(87)
900+
This course will help you reduce the amount of trial and error you may experience in machine learning projects. I am in charge of Luid's machine learning pipeline and will teach you from the basics.
중급이상
Machine Learning(ML)
Machine Learning Engineer Practice
Chris Song
₩68
중급이상 / Machine Learning(ML)
4.4
(87)
900+
Kaggle Machine Learning for Beginners Learn from Industry Professionals - ML Engineer Practical Tips
AISchool
₩46
초급 / Kaggle, Machine Learning(ML), EDA
4.6
(24)
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
(24)
300+
Do It! Introduction to Deep Learning
haesunpark
무료
초급 / Deep Learning(DL), Machine Learning(ML), Artificial Neural Network
4.9
(73)
4,800+
This lecture guides readers to deep learning with the most appropriate pace and straight direction, one step from concept to formula and one step from coding. In addition, there are over 100 graphs, illustrations, and diagrams, so you can easily and quickly accept abstract concepts. Another unique feature of this lecture is that you can start practicing right away by simply accessing a web browser without installing a program. After comfortably understanding the theory, you can directly code and conquer four representative deep learning problems with your eyes, so it is not lacking as a textbook for deep learning. The concepts or terms that you must go over are reviewed twice in the ‘Wait! Let’s move on to the next’ corner in the middle of the text and the ‘Memory Card’ corner at the end of the chapter to increase the learning effect. Let’s quickly overcome deep learning head-on with ‘Do it! Introduction to Deep Learning.’
초급
Deep Learning(DL), Machine Learning(ML), Artificial Neural Network
Do It! Introduction to Deep Learning
haesunpark
무료
초급 / Deep Learning(DL), Machine Learning(ML), Artificial Neural Network
4.9
(73)
4,800+
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+
Machine Learning Engineer's Guide to [AI That Reveals Itself as Much as You Know]
choikiwon
₩13
입문 / Machine Learning(ML)
4.8
(64)
700+
미션
미션
This is a basic machine learning course for those who don't know math and coding well, but want to understand machine learning trends and utilize machine learning technology to plan products.
입문
Machine Learning(ML)
Machine Learning Engineer's Guide to [AI That Reveals Itself as Much as You Know]
choikiwon
₩13
입문 / Machine Learning(ML)
4.8
(64)
700+
미션
미션
Reinforcement learning core theory that is easy to understand
Chris Song
₩43
초급 / Reinforcement Learning(RL), Tensorflow, Machine Learning(ML)
4.0
(3)
In this lecture, you will learn the basic theory of reinforcement learning.
초급
Reinforcement Learning(RL), Tensorflow, Machine Learning(ML)
Reinforcement learning core theory that is easy to understand
Chris Song
₩43
초급 / Reinforcement Learning(RL), Tensorflow, Machine Learning(ML)
4.0
(3)
Understanding the concept of deep learning leading to practical artificial intelligence
dlbro
₩55
입문 / Deep Learning(DL), Artificial Neural Network, Machine Learning(ML)
4.7
(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
입문 / Deep Learning(DL), Artificial Neural Network, Machine Learning(ML)
4.7
(107)
1,300+
Exciting Artificial Intelligence - Practice Edition -
skmns
₩102
입문 / AI, Deep Learning(DL), Machine Learning(ML)
Don't you want to try making artificial intelligence yourself? Haven't you been curious about the principles behind how AI products in our daily lives—such as self-driving cars, chatbots, and AI speakers—work and how they can be made? By following along with no-code and low-code tools, you can easily create artificial intelligence.
입문
AI, Deep Learning(DL), Machine Learning(ML)
Exciting Artificial Intelligence - Practice Edition -
skmns
₩102
입문 / AI, Deep Learning(DL), Machine Learning(ML)
Hands-On Machine Learning 2
haesunpark
무료
초급 / Tensorflow, Machine Learning(ML), Deep Learning(DL), Keras, Reinforcement Learning(RL), NLP, Scikit-Learn
4.7
(56)
6,600+
This course covers the content of the Amazon bestseller <Hands-On Machine Learning, 2nd Edition>. You will learn various machine learning algorithms and evaluation methods using Scikit-Learn, a representative machine learning library. Additionally, you will build a foundation in both theory and practice, ranging from artificial neural networks to reinforcement learning, using the most famous deep learning libraries, TensorFlow and Keras. This course is not yet complete. One to two lectures will 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
(56)
6,600+
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)