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L1 and L2 Loss Functions in Machine Learning
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Video Source: www.youtube.com/watch?v=ToWgPhPbJ9U
In this video, we will learn about the L1 and L2 Loss Functions in Machine Learning. • L1 vs L2 Loss Function • L1 and L2 are two loss functions in machine learning that minimize the error. • L1 Loss function stands for Least Absolute Deviations. Also known as LAD. • L2 Loss function stands for Least Square Errors. Also known as LS. • #machinelearning • Hi, I am Amit Shekhar, I have mentored many developers, and their efforts landed them high-paying tech jobs, helped many tech companies in solving their unique problems, and created many open-source libraries being used by top companies. I am passionate about sharing knowledge through open-source, blogs, and videos. • You can connect with me on: • • Twitter: / amitiitbhu • • LinkedIn: / amit-shekhar-iitbhu • • GitHub: https://github.com/amitshekhariitbhu • Read all of my high-quality blogs: https://amitshekhar.me/blog • Get Mentorship: https://amitshekhar.me
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