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  1. Artificial Intelligence is the science, which is focused on making machines smart enough to concise human efforts and solve traditional problems. Moving further to Machine Learning, it is basically a sub-shell of AI, which offers various techniques and models to improve AI. In simple words, Machine Learning is a part, where we train machines to do a specific task automatically. Going deeper into Machine Learning, we get Deep Learning, in which the machine uses an Artificial Neural System (i.e., Combination of Artificial Neural Networks) and try to learn itself without any input command. In deep learning, you will require a great amount of data along with high power CPUs and GPUs to process it at a rapid speed. So, whether you are choosing Machine Learning or Deep Learning, you will be working to enhance Artificial Intelligence. Now, if you have a lot of labeled data and high power GPUs and CPUs, you can easily go for Deep Learning otherwise, sticking up with Machine Learning will be a wise move.
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