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README.md

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-Machine Learning
+Machine Learning [<img src="https://github.com/StarlangSoftware/Classification/blob/master/video1.jpg" width="5%">](https://youtu.be/1p0zBhji0YE)[<img src=https://github.com/StarlangSoftware/Classification/blob/master/video2.jpg width="5%">](https://youtu.be/xvNGStxTEsU)[<img src=https://github.com/StarlangSoftware/Classification/blob/master/video3.jpg width="5%">](https://youtu.be/EfDoMKHl_iY)[<img src=https://github.com/StarlangSoftware/Classification/blob/master/video4.jpg width="5%">](https://youtu.be/4Y-1r0H8vZc)[<img src=https://github.com/StarlangSoftware/Classification/blob/master/video5.jpg width="5%">](https://youtu.be/1b5sEp321Lo)[<img src=https://github.com/StarlangSoftware/Classification/blob/master/video6.jpg width="5%">](https://youtu.be/_bM4RmKMo3I)[<img src=https://github.com/StarlangSoftware/Classification/blob/master/video7.jpg width="5%">](https://youtu.be/xGHskyTb35s)[<img src=https://github.com/StarlangSoftware/Classification/blob/master/video8.jpg width="5%">](https://youtu.be/ZdFUDFmOjL4)[<img src=https://github.com/StarlangSoftware/Classification/blob/master/video9.jpg width="5%">](https://youtu.be/O0W99NhiFug)
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 Machine learning is about optimization. In learning via optimization, we define an error function (loss function) on the model and try to optimize it, i.e., try to find the optimal parameters of the model by optimization techniques borrowed from optimization literature.