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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

课程

理解机器学习

基础技能水平
4.8+
12,290 条评价
2小时
无需编码的机器学习入门。

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浏览 Machine Learning 课程和学习路径

课程

使用 spaCy 的自然语言处理

中级技能水平
4.7+
693 条评价
4小时
掌握 spaCy 的核心操作,并训练自然语言处理模型。 从非结构化数据中提取信息并匹配模式。

课程

Python 中的 NLP 特征工程

中级技能水平
4.8+
161 条评价
4小时
学习从文本中提取有用信息,并将其处理成适合机器学习的格式。

课程

DVC 数据版本管理入门

中级技能水平
4.7+
457 条评价
3小时
探索用于机器学习数据管理的数据版本控制。 掌握设置,自动化管道,并无缝评估模型。

课程

Python 中的 TensorFlow 入门

中级技能水平
4.8+
58 条评价
4小时
学习神经网络基础,以及如何使用 TensorFlow 构建深度学习模型。

课程

Python 中的机器学习监控

高级技能水平
4.8+
425 条评价
3小时
本课程涵盖在 Python 中构建基础机器学习监控系统所需的一切知识

课程

R 中的树模型机器学习

基础技能水平
4.8+
282 条评价
4小时
学习如何使用基于树的模型和集成,通过 tidymodels 进行分类和回归预测。

课程

R 中的无监督学习

中级技能水平
4.8+
112 条评价
4小时
本课程从机器学习角度介绍 R 中的聚类和降维。

课程

Python 中的集成方法

高级技能水平
4.8+
443 条评价
4小时
学习如何使用 bagging、boosting 和 stacking 等集成技术,在 Python 中构建高级且高效的机器学习模型。

课程

R 中的聚类分析

中级技能水平
4.8+
79 条评价
4小时
培养对层次聚类和 k-means 聚类工作原理的直觉,并学习如何将其应用于从数据中提取洞察。

课程

Python 营销中的机器学习

中级技能水平
4.8+
189 条评价
4小时
从客户终身价值、流失预测到细分——学习并用 Python 实现营销中的机器学习用例。

课程

面向业务的 MLOps

基础技能水平
4.8+
181 条评价
3小时
了解 MLOps,包括自动化和扩展机器学习应用所需的工具和实践。

课程

Python 预测分析入门

基础技能水平
4.8+
245 条评价
4小时
在本课程中,你将学习如何使用并展示逻辑回归模型来进行预测。

课程

Tidyverse 中的机器学习

中级技能水平
4.8+
124 条评价
5小时
借助 tidyverse 中的 tidyr 和 purrr 包,生成、探索并评估机器学习模型。

课程

R 中的支持向量机

中级技能水平
4.8+
107 条评价
4小时
本课程将通过直观、可视化的方法介绍支持向量机(SVM)。

课程

R 中的特征工程

中级技能水平
4.7+
160 条评价
4小时
学习机器学习模型的特征工程原理,以及如何使用 R tidymodels 框架实现它们。

课程

R 中的情感分析

中级技能水平
4.7+
99 条评价
4小时
学习情感分析:识别正负面语言、具体情绪意图,并制作有说服力的可视化。

Machine Learning 相关资源

博客

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

15分钟

博客

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

15分钟

博客

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

11分钟


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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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