This is true, deep learning can make feature selection / engineering easier. That being said, a deep learning method can be over kill for a large number of problems that ML is used to solve. The amount of data needed for the training set and amount of computational power needed for the training set is often not available or a huge effort. I believe in keeping things simple if possible and spending a little more thought of feature construction. However, it isn't best for all problems.
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This is true, deep learning can make feature selection / engineering easier. That being said, a deep learning method can be over kill for a large number of problems that ML is used to solve. The amount of data needed for the training set and amount of computational power needed for the training set is often not available or a huge effort. I believe in keeping things simple if possible and spending a little more thought of feature construction. However, it isn't best for all problems.