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Machine Learning, Incl. Deep Learning, With R (Updated)
TORRENT SUMMARY
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You will know how to evaluate your model, what underfitting and overfitting is, why resampling techniques are important, and how you can split your dataset into parts (train/validation/test).
We will understand the theory behind deep neural networks.
We will understand and implement convolutional neural networks - the most powerful technique for image recognition.
Requirements
Basic R Programming knowledge is helpful, but not required.
Use Winrar to Extract. And use a shorter path when extracting, such as C: drive
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[ FreeCourseWeb.com ] Machine Learning, incl. Deep Learning, with R (Updated).zip