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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+
9,542 条评价
2小时
无需编码的机器学习入门。

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课程

Unsupervised Learning in R

中级技能水平
4.7+
99 条评价
4小时
This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

课程

Introduction to TensorFlow in Python

中级技能水平
4.8+
53 条评价
4小时
Learn the fundamentals of neural networks and how to build deep learning models using TensorFlow.

课程

Supervised Learning in R: Regression

中级技能水平
4.6+
97 条评价
4小时
In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

课程

Ensemble Methods in Python

高级技能水平
4.8+
388 条评价
4小时
Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.

课程

Cluster Analysis in R

中级技能水平
4.8+
69 条评价
4小时
Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.

课程

Machine Learning with caret in R

中级技能水平
4.8+
42 条评价
4小时
This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

课程

Fully Automated MLOps

中级技能水平
4.8+
322 条评价
4小时
Learn about MLOps architecture, CI/CD/CM/CT techniques, and automation patterns to deploy ML systems that can deliver value over time.

课程

Monitoring Machine Learning in Python

高级技能水平
4.8+
344 条评价
3小时
This course covers everything you need to know to build a basic machine learning monitoring system in Python

课程

ARIMA Models in Python

高级技能水平
4.8+
393 条评价
4小时
Learn about ARIMA models in Python and become an expert in time series analysis.

课程

Market Basket Analysis in Python

中级技能水平
4.8+
256 条评价
4小时
Explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations.

课程

Introduction to Data Versioning with DVC

中级技能水平
4.7+
377 条评价
3小时
Explore Data Version Control for ML data management. Master setup, automate pipelines, and evaluate models seamlessly.

课程

Building Chatbots in Python

中级技能水平
4.7+
145 条评价
4小时
Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.

课程

Modeling with tidymodels in R

中级技能水平
4.8+
173 条评价
4小时
Learn to streamline your machine learning workflows with tidymodels.

课程

Machine Learning for Marketing in Python

中级技能水平
4.8+
167 条评价
4小时
From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.

课程

Sentiment Analysis in R

中级技能水平
4.7+
95 条评价
4小时
Learn sentiment analysis by identifying positive and negative language, specific emotional intent and making compelling visualizations.

课程

Fraud Detection in R

中级技能水平
4.7+
36 条评价
4小时
Learn to detect fraud with analytics in R.

课程

Hyperparameter Tuning in R

高级技能水平
4.8+
51 条评价
4小时
Learn how to tune your models hyperparameters to get the best predictive results.

课程

Machine Learning in the Tidyverse

中级技能水平
4.8+
107 条评价
5小时
Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.

课程

MLOps for Business

基础技能水平
4.8+
138 条评价
3小时
Learn about MLOps, including the tools and practices needed for automating and scaling machine learning applications.

课程

Dimensionality Reduction in R

基础技能水平
4.7+
96 条评价
4小时
Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.

Machine Learning 相关资源

Artificial Intelligence Vector Image

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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