Free Machine Learning And Artificial Intelligence Courses In 2023
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Machine Learning Introduction for Everyone
This IBM training on machine learning will satisfy the demands of novices. Additionally, it will only take you seven hours to master the fundamentals of machine learning, after which you may go on to more complex courses. The professors are statisticians. And they’ve assembled a three-module course covering “Machine Learning for Everyone,” “Machine Learning Topics,” and “Final Project.”
https://www.coursera.org/learn/machine-learning-introduction-for-everyone
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Machine Learning for Data Science and Analytics
If you’ve always wanted to attend Columbia University but never had the opportunity, this artificial intelligence course focusing on machine learning is the next best thing. It will help you understand the principles of machine learning and its techniques, such as linear regression, supervised and unsupervised learning, and others.
https://www.edx.org/course/machine-learning-for-data-science-and-analytics
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Coursera’s Machine Learning
Everyone interested in machine learning has heard of Andrew Ng, one of the most esteemed individuals in the area of artificial intelligence. This course covers supervised learning, unsupervised learning, and machine learning best practices. It contains several case studies that illustrate how to use your newly acquired abilities in the actual world.
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Machine Learning with Python
Python is the most used programming language for machine learning, according to GitHub. This Machine Learning in Python course may help you learn how to use Python in ML applications.
https://www.edx.org/course/machine-learning-with-python-a-practical-introduct
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Machine Learning: Classification
Have you ever checked your inbox and wondered, “Why are certain emails in my inbox while others are sent to spam?” Well, classification algorithms driven by machine learning do this. In this free machine learning (ML) course from the University of Washington, you will learn about the majority of these algorithms through real-world case studies.
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