Bayesian Machine Learning with Ravin Kumar (Ep. 191)
Data Science at Home
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The Power of Deep Learning in Data Science
You no longer need an immense number of data points to proceed, which is exactly what teplonic expects for even for the smallest of the neral natworks out there. And i didn't even need coverts to make an estimation, right? So if i used a decision tree, or even a plain linear regression, you usually need some other a features to then make a prediction. But in this case, i didn't really even have great features. It still needed tat make a iform decision. Well, so a very powerful tool. Now, another powerful tool that we already mentioned is, of course, deep learning. Here the connection is kind of natural for me to ask
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