What to learn Machine Learning or Deep Learning

It depends on objective: 

If the objective is to apply machine learning in traditional industries or settings, with limited data availability, then you’re probably better off to go with machine learning. 

If the objective is to apply machine learning on data rich application db / content/media (more than 10,00,000+ data points) or in media content (like images / audio / video), then you’re probably better off to go with deep learning.

To learn deep learning, you must learn concepts like over-fitting, regularization, cost function and so on. These are like traditional “machine learning concepts” However, there isn’t any need for learning specific machine learning models and  algorithms such as SVMs, K nearest neighbors, K means clustering, Hidden Markov Models, etc.,

If you’d like to learn both machine learning and deep learning, here are the resources: 
Learn Machine Learning: from novice to expert [29-part course, 19T+4P+6Q]
consists of tutorials on ML concepts and algorithms, as well as end-to-end follow-along ML examples
                                      and 
Learn Deep Learning: from novice to expert[24-part course, 16T+2P+6Q]
consists of tutorials on deep learning concepts and neural networks