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Machine Learning courses

Machine learning courses cover algorithms and concepts for enabling computers to learn from data and make decisions without explicit programming. Build your skills in NLP, deep learning, MLOps and more.

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Google에서 계속 진행더 많은 옵션 보기

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계속 진행하시면 당사의 이용약관개인정보처리방침에 동의하고 및 귀하의 데이터가 미국에 저장되는 것에 동의하게 됩니다.
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DataCamp for Business 체험

Recommended for Machine Learning beginners

Build your Machine Learning skills with interactive courses, curated by real-world experts

강의

머신 러닝 이해하기

기초기술 수준
4.8+
리뷰 9,307개
2시간
코딩 없이 배우는 머신 러닝을 소개합니다.

트랙

머신 러닝 기초 in Python

4.5+
리뷰 6개
16시간
머신 러닝의 기술을 익히고 예측, 패턴 인식, 그리고 딥 러닝과 강화 학습의 기초에 능숙해지세요.

어디서 시작해야 할지 모르시겠나요?

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Machine Learning 강의 및 트랙 둘러보기

강의

spaCy로 배우는 Advanced NLP

중급기술 수준
4.6+
리뷰 20개
5시간
규칙 기반과 머신러닝 접근을 모두 활용해 spaCy로 고급 자연어 이해 시스템을 구축하는 방법을 배웁니다.

강의

Support Vector Machines in R

중급기술 수준
4.8+
리뷰 79개
4시간
This course will introduce the support vector machine (SVM) using an intuitive, visual approach.

강의

R에서의 차원 축소

기초기술 수준
4.7+
리뷰 91개
4시간
R에서 차원 축소 기법을 배우고, 데이터와 모델에 맞는 특징 선택·추출을 마스터하세요.

강의

R로 배우는 자연어 처리 입문

중급기술 수준
4.8+
리뷰 40개
4시간
R로 Natural Language Processing에서 성공하는 데 필요한 모든 기술과 도구를 한눈에 익히세요.

강의

Python 중급 예측 분석

기초기술 수준
4.7+
리뷰 72개
4시간
예측 분석을 위해 데이터를 준비하고 구성하는 방법을 알아보세요.

Machine Learning 관련 리소스

Artificial Intelligence Vector Image

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How to Become a Machine Learning Engineer in 2026

Learn how to become a machine learning engineer and discover why it is one of the most lucrative and dynamic career paths in the data world.
Kurtis Pykes 's photo

Kurtis Pykes

15분

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33 Machine Learning Projects for All Levels in 2026

Machine learning projects for beginners, final year students, and professionals. The list consists of guided projects, tutorials, and example source code.
Abid Ali Awan's photo

Abid Ali Awan

15분

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Top 12 Machine Learning Engineer Skills To Start Your Career

Master these skills to become a job-ready machine learning engineer in 2024.
Natassha Selvaraj's photo

Natassha Selvaraj

11분


Ready to apply your skills?

Projects allow you to apply your knowledge to a wide range of datasets to solve real-world problems in your browser

Frequently asked questions

Is machine learning easy to learn?

DataCamp's beginner machine learning courses are a lot of hands-on fun, and they provide an excellent foundation for machine learning to advance your career or business. Within weeks, you'll be able to create models and generate predictions and insights. You'll also learn foundational knowledge of Python and R and the fundamentals of artificial intelligence.

After that, the learning curve gets a bit steeper. Machine learning careers require a deeper understanding of statistics, math, and software engineering, all of which can be mastered at DataCamp.

What is machine learning used for?

In a nutshell, machine learning is a type of artificial intelligence whose algorithms, as they acquire data, produce analytical models and make predictions with little to no human intervention.

It's difficult to find an industry that doesn't use machine learning. For example, marketers use machine learning to forecast returns on investments in marketing campaigns. Likewise, purchasing departments use machine learning to predict needed inventory.

Businesses of all kinds use machine learning to predict customer behavior, map supply chains, and forecast revenues. Machine learning is used to predict health outcomes and to improve patient satisfaction. Machine learning helps scientists model climate change scenarios, including possible solutions.

More specifically, machine learning is used in smart devices, search engines, and streaming services (when Netflix suggests a show or movie based on your viewing history, that's machine learning).

What jobs can you get with machine learning skills?

Machine learning skills are valuable in programming, data science, and other computer engineering disciplines. In addition, machine learning is a must for anyone wanting to work in robotics!

Not all jobs that require machine learning are in tech though. For example, linguists use machine learning to track ever-changing languages and dialects. In addition, business departments, such as marketing, accounting, logistics, and purchasing, to name a few, increasingly need machine learning experts to help them make informed business decisions. Knowing machine learning can give you a step up in nearly any position, as modeling and predicting are critical business needs.

Are machine learning skills in demand?

Yes, machine learning skills are in high demand. According to a report by the World Economic Forum, demand for AI and ML specialists is expected to grow by 40% between 2023 and 2027.

How much math do I need to take a machine learning course?

If you're looking to develop a high-level understanding of machine learning concepts, you don't need much math. If you want to dive deeper and make machine learning your career (as opposed to an added value to your existing career), a foundation in statistics and algebra is helpful. If you don't have a mathematical background, that's okay. We'll teach you everything you need, and our instructors are a lot less scary than your high school calculus teacher.

Do I need to download machine learning software to learn on DataCamp?

You do not need to download anything while learning with DataCamp. All the tools we use are web-based.

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