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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+
11,511 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

Python 中的机器学习监控

高级技能水平
4.8+
399 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

Python 中的 ARIMA 模型

高级技能水平
4.8+
427 条评价
4小时
在 Python 中学习 ARIMA 模型，成为时间序列分析专家。

课程

Python 中的情感分析

中级技能水平
4.8+
465 条评价
4小时
客户对您的产品感到满意，还是您的服务有所欠缺？学习如何执行端到端情感分析任务。

课程

DVC 数据版本管理入门

中级技能水平
4.7+
424 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

R 中的无监督学习

中级技能水平
4.7+
109 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

R 中的监督学习：回归

中级技能水平
4.6+
107 条评价
4小时
在本课程中，你将学习如何使用线性回归、广义加性模型、随机森林和xgboost预测未来事件。

课程

Python 预测分析入门

基础技能水平
4.8+
239 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

R 中的聚类分析

中级技能水平
4.8+
77 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 中的集成方法

高级技能水平
4.8+
427 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

Python 营销中的机器学习

中级技能水平
4.8+
180 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

R 中的树模型机器学习

基础技能水平
4.8+
269 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

Tidyverse 中的机器学习

中级技能水平
4.8+
119 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+
95 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

面向业务的 MLOps

基础技能水平
4.8+
159 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

R 中的特征工程

中级技能水平
4.7+
157 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 中的欺诈检测

中级技能水平
4.7+
38 条评价
4小时
用 R 中的分析检测欺诈。

课程

R 自然语言处理入门

中级技能水平
4.8+
40 条评价
4小时
掌握在 R 中精通自然语言处理所需的全部技能和工具概览。

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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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