How to learn Machine Learning like a GENIUS and not waste time
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Top Comments (10)
Learn Machine Learning with a structured and hands-on approach: Machine Learning Scientist Track (Train and develop models) - https://datacamp.pxf.io/L0mYQo Machine Learning Engineer Track (Deploy and maintain models in production) - https://datacamp.pxf.io/QYnx5x
I wish we could just focus on one specific thing for like a month instead of new things everyday.
I'd also suggest going into the SciKit-Learn and PyTorch documentation for the math as well, almost all of their documentation includes the link to the paper/reference describing the mathematics and usually pretty elegantly.
For those who want to learn the basics of machine learning and deep learning , I would highly recommand watching Machine learnia’s tutorials about machine learning and deep learning . This roughly covers everything you need to know for starting !
Going forward a neural network is pretty easy and straight forward. The complexity comes when you need to go backward (BackPropagation). It's where you need to understand how it works and how to analyze the data. Everyone struggle to back propagate and optimize the weight.
You don't know how much value you just added to my life just right here with this video. Video is so goated , I bookmarked it. Thanks a lot
70/30 rule is key, 70% building, 30% theory.
one of the most important part I think is learn about virtual environment (venv) before even touch the python syntax
Yeah try to learn everything is default
9:37 Transformers just revolutionized Deep learning , thank to self attention mechanism 🙌🏻
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Top Comments (10)
Learn Machine Learning with a structured and hands-on approach: Machine Learning Scientist Track (Train and develop models) - https://datacamp.pxf.io/L0mYQo Machine Learning Engineer Track (Deploy and maintain models in production) - https://datacamp.pxf.io/QYnx5x
I wish we could just focus on one specific thing for like a month instead of new things everyday.
I'd also suggest going into the SciKit-Learn and PyTorch documentation for the math as well, almost all of their documentation includes the link to the paper/reference describing the mathematics and usually pretty elegantly.
For those who want to learn the basics of machine learning and deep learning , I would highly recommand watching Machine learnia’s tutorials about machine learning and deep learning . This roughly covers everything you need to know for starting !
Going forward a neural network is pretty easy and straight forward. The complexity comes when you need to go backward (BackPropagation). It's where you need to understand how it works and how to analyze the data. Everyone struggle to back propagate and optimize the weight.
You don't know how much value you just added to my life just right here with this video. Video is so goated , I bookmarked it. Thanks a lot
70/30 rule is key, 70% building, 30% theory.
one of the most important part I think is learn about virtual environment (venv) before even touch the python syntax
Yeah try to learn everything is default
9:37 Transformers just revolutionized Deep learning , thank to self attention mechanism 🙌🏻