如何知道机器学习中哪种学习路径适合我？

评估您当前的技能、您对特定 Machine Learning 应用的兴趣以及您的职业目标。每种途径都是为满足不同需求而设计的：职业发展：如果您的目标是提升自己的专业技能。实际应用：如果您对应用 Machine Learning 解决实际问题感兴趣。深入理解：如果您希望全面掌握基础理论和算法。

如果我改变主意或需求发生变化，我能否在机器学习路径之间进行切换？

是的，Coursera 灵活的学习环境允许您随着兴趣或职业要求的变化而调整学习路径。您可以探索机器学习中的不同课程，甚至可以将不同路径中的元素结合起来，以满足您不断变化的学习需求。

如果我没有任何 Machine Learning 方面的背景知识怎么办？

不用担心！我们建议您从适合初学者的课程开始学习，如《 Python 入门专项课程》（ Python for Everybody Specialization ），以培养基础编程技能；或《机器学习数学专项课程》（Mathematics for Machine Learning Specialization ），以掌握必要的数学概念。这些课程旨在帮助您打下处理更高级机器学习主题所需的基础。

我可以通过哪些实际项目来应用在 Machine Learning 课程中学到的知识？

Coursera 提供许多机器学习实践项目，非常适合应用所学理论和技术。项目范围从构建基本的 Regression 模型到更复杂的 Deep Learning 应用。这些项目有助于巩固你的理解，并建立一个向潜在雇主展示你技能的作品集。

How to Start Learning Machine Learning: A Custom Course Guide

Q: 我可以通过哪些实际项目来应用在 Machine Learning 课程中学到的知识？

Coursera 提供许多 机器学习实践项目 ，非常适合应用所学理论和技术。项目范围从构建基本的 Regression 模型到更复杂的 Deep Learning 应用。这些项目有助于巩固你的理解，并建立一个向潜在雇主展示你技能的作品集。

作者：Coursera • 更新于 Aug 4, 2025

Start learning machine learning with our Custom Course Guide. Explore pathways and resources matched to your goals and background to effectively navigate this complex field.

Machine learning has become one of the most sought-after skills in the tech industry, transforming how we approach problems across healthcare, finance, transportation, and countless other sectors. But with its complex blend of statistics, programming, and domain expertise, many aspiring learners feel overwhelmed about where to begin.

This guide acknowledges that everyone comes to machine learning with different backgrounds, goals, and learning styles. By following our interactive decision tree, you'll discover resources specifically matched to your unique situation.

Goal-Oriented Learning Routes for How to Learn Machine Learning

Click to zoom

Step 1: Determine Your Primary Goal

What's your primary reason for learning Machine Learning?

Career Advancement: Continue to Question 2A
Practical Application: Continue to Question 2B
Deep Understanding: Continue to Question 2C

Step 2A: Career Advancement Path

Do you have experience with Python programming?

Yes: Continue to Question 3A
No: Recommended Starting Point: Python for Everybody Specialization

Step 3A: Career + Python Experience

Do you have a background in statistics?

Yes: Recommended Starting Point: Machine Learning Specialization by Andrew Ng
No: Recommended Starting Point: Statistics for Data Science with Python

Step 2B: Practical Application Path

Are you familiar with basic statistics and probability?

Yes: Continue to Question 3B
No: Recommended Starting Point: Statistics with Python Specialization

Step 3B: Practical + Statistics Background

What's your programming experience level?

Beginner: Recommended Starting Point: Applied Data Science with Python Specialization
Intermediate/Advanced: Recommended Starting Point: Machine Learning with Python

Step 2C: Deep Understanding Path

Do you have a background in calculus and linear algebra?

Yes: Continue to Question 3C
No: Recommended Starting Point: Mathematics for Machine Learning Specialization

Step 3C: Theory + Math Background

What aspect of ML theory interests you most?

Algorithm Foundations: Recommended Starting Point: Probability & Statistics for Machine Learning & Data Science
Deep Learning & Neural Networks: Recommended Starting Point: Deep Learning Specialization

Start learning Machine Learning today by selecting the pathway that best fits your goals and background. Remember, flexibility is key, and Coursera offers a variety of options to customize your learning experience. Explore the machine learning courses available on Coursera, and set out on a path that opens up numerous opportunities in the fields of AI and data science. Take your first step now and discover where Coursera can take you.