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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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Recommended for Machine Learning beginners

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

Khóa học

Understanding Machine Learning

Cơ bảnTrình độ kỹ năng
2 giờ
11.9K
An introduction to machine learning with no coding involved.

Lộ trình

Cơ bản về Học máy trong Python

16 giờ
6.8K
Học nghệ thuật của Học máy và trở thành chuyên gia trong dự đoán, nhận dạng mẫu, cũng như những bước đầu tiên của Học sâu và Học tăng cường.

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Làm Bài Đánh Giá

Duyệt khóa học và lộ trình Machine Learning

Khóa học

Supervised Learning with scikit-learn

Trung cấpTrình độ kỹ năng
4 giờ
19.6K
Grow your machine learning skills with scikit-learn in Python. Use real-world datasets in this interactive course and learn how to make powerful predictions!

Khóa học

Unsupervised Learning in Python

Trung cấpTrình độ kỹ năng
4 giờ
4.8K
Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.

Khóa học

MLOps Concepts

Trung cấpTrình độ kỹ năng
2 giờ
3.1K
Discover how MLOps can take machine learning models from local notebooks to functioning models in production that generate real business value.

Khóa học

Machine Learning for Business

Cơ bảnTrình độ kỹ năng
2 giờ
1.8K
Understand the fundamentals of Machine Learning and how its applied in the business world.

Khóa học

Giới thiệu về MLflow

Nâng caoTrình độ kỹ năng
4 giờ
1.2K
Học cách sử dụng MLflow để đơn giản hóa các thách thức trong việc phát triển ứng dụng học máy. Khám phá MLflow tracking, các dự án, mô hình và danh mục mô hình.

Khóa học

Model Validation in Python

Trung cấpTrình độ kỹ năng
4 giờ
966
Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.

Khóa học

Machine Learning with PySpark

Nâng caoTrình độ kỹ năng
4 giờ
948
Learn how to make predictions from data with Apache Spark, using decision trees, logistic regression, linear regression, ensembles, and pipelines.

Khóa học

Triển khai và Vòng đời MLOps

Nâng caoTrình độ kỹ năng
4 giờ
940
Trong khóa học này, quý vị sẽ tìm hiểu về khung MLOps hiện đại, khám phá vòng đời và quá trình triển khai các mô hình học máy.

Khóa học

End-to-End Machine Learning

Trung cấpTrình độ kỹ năng
4 giờ
901
Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.

Khóa học

Giảm Chiều Dữ Liệu với Python

Trung cấpTrình độ kỹ năng
4 giờ
887
Hiểu rõ khái niệm giảm chiều trong dữ liệu của bạn và thành thạo các kỹ thuật để thực hiện điều đó trong Python.

Khóa học

Machine Learning for Finance in Python

Trung cấpTrình độ kỹ năng
4 giờ
667
Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.

Khóa học

Supervised Learning in R: Regression

Trung cấpTrình độ kỹ năng
4 giờ
556
In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

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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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