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Machine Learning

Popular course

Machine Learning from Stanford University. Machine learning is the science of getting computers to act without being explicitly programmed.

(*)(*)(*)(*)(*)4.9
23.5K reviews
duration

60 h

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Reinforcement Learning

Popular course

Learn Reinforcement Learning from University of Alberta, Alberta Machine Intelligence Institute.

(*)(*)(*)(*)(*)4.7
706 reviews
duration

2 h

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Deep Learning

Popular course

If you want to break into AI, this Specialization will help you do so.

(*)(*)(*)(*)(*)4.9
40.3K reviews
duration

80 h

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Machine Learning

Popular course

This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning.

(*)(*)(*)(*)(*)4.8
3.9K reviews
duration

84 h

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Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2024]

Learn how to write Machine Learning Algorithms in Python and R from two Data Science specialists. Code templates are included.

(*)(*)(*)(*)(*)4.5
181K reviews
duration

42 h 26 m

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Data Science: Machine Learning

Learn the basics of machine learning, the science behind the most popular and successful data science techniques, to build a movie recommendation system.

(*)(*)(*)(*)(*)4.3
83 reviews
duration

24 h

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Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

Learn Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning from deeplearning.ai. If you are a software developer who wants to build scalable AI-powered algorithms

(*)(*)(*)(*)(*)4.8
19.4K reviews
duration

30 h

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Deep Learning A-Z™: Hands-On Artificial Neural Networks

Learn to create Deep Learning Algorithms in Python from two Machine Learning & Data Science experts. Templates included.

(*)(*)(*)(*)(*)4.5
33.5K reviews
duration

22 h 5 m

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Structuring Machine Learning Projects

You will learn how to build a successful machine learning project.

(*)(*)(*)(*)(*)4.8
9.8K reviews
duration

5 h

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Machine Learning for Everyone

An introduction to machine learning with no coding involved.

(*)(*)(*)(*)(*)4.7
167 reviews
duration

2 h

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Understanding Machine Learning

An introduction to machine learning with no coding involved.

(*)(*)(*)(*)(*)4.7
167 reviews
duration

2 h

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Machine Learning Foundations: A Case Study Approach

Learn Machine Learning Foundations: A Case Study Approach from University of Washington. Do you have data and wonder what it can tell you?

(*)(*)(*)(*)(*)4.6
9.1K reviews
duration

24 h

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Data Science A-Z™: Real-Life Data Science Exercises Included

Learn Data Science step by step through real Analytics examples. Data Mining, Modeling, Tableau Visualization and more!

(*)(*)(*)(*)(*)4.6
27.8K reviews
duration

21 h

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Machine Learning for Data Science and Analytics

Learn the principles of machine learning and the importance of algorithms.

duration

50 h

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Mathematics for Machine Learning: Linear Algebra

Offered by Imperial College London. In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices.

(*)(*)(*)(*)(*)4.7
678 reviews
duration

19 h




What You Learn from Free Machine Learning Courses

Free Machine Learning courses online cover core topics like supervised learning, neural networks, and data science. These self-paced ML courses help you understand model building, data processing, and AI applications. Whether you're a beginner or advanced learner, these free classes provide a solid introduction to machine learning concepts.

Benefits of Free Online Machine Learning Courses

Online machine learning courses free of charge offer flexibility and accessibility. From beginner tutorials to advanced AI resources, you can start learning at your own pace without a financial commitment. Many courses also offer free certifications, adding value to your professional profile.

How to Earn Certificates from Free Courses

Free ML courses with certificates are available on platforms like Coursera and edX. To earn these, complete all modules and pass assessments. These certificates validate your knowledge in machine learning, which can be displayed on your resume or LinkedIn profile.

Pros & Cons of Free Learning Courses

Free machine learning courses offer numerous advantages like cost-effectiveness and flexible schedules. However, they may lack personalized support and detailed feedback compared to paid courses. On the upside, free courses cover most introductory topics, making them perfect for learners just starting in AI and ML.

Tips for Maximizing Your Learning Experience

To make the most of free AI and ML courses online, engage with community forums, participate in hands-on projects, and review your progress regularly. Supplement these courses with additional resources to deepen your understanding of AI and data science.

FAQs
Can I get a certificate from free machine learning courses?

Yes, many free courses offer certificates upon completion, particularly on platforms like Coursera and edX.

Which platforms offer free machine learning courses with quality content?

Coursera, edX, and Udemy provide high-quality free ML courses with extensive resources and tutorials for beginners.

How long do free machine learning courses take to complete?

Courses range from a few weeks to several months, depending on your pace and the course content.

What skills can I expect to gain from these free courses?

You'll learn core machine learning concepts, including data processing, supervised learning, AI integration, and model building.

Can I access course materials after completion?

Most platforms allow continued access to materials even after course completion, though some may have time limits.

How do free machine learning courses compare to paid ones?

Free courses cover essential topics and are ideal for beginners, but paid courses often offer more in-depth content and personalized support.