They are distinctive however complementary. The Big Data is about Data and ML is about Logic. ML gives the algorithms to handle big data. Big Data is portrayed by 4 Vs. These are Volume (in exabytes), Velocity (gushing in heavily at an enormous rate), Variety (web-based media, rfid, weblogs, recordings, pictures, and so on), and Veracity (inadequate or inaccurate now and again). Such tremendous data can not be physically handled through deterministic algorithms. It requires utilizing 'smart' calculations (algorithms), which can handle all that information to concoct valuable noteworthy insights in real-time. ML algorithms attempt to copy nature: like Artificial Neural Networks, or the Genetic Algorithms. There are different calculations like Computer Vision, and Natural Language Understanding, which are near ML and fall inside the bigger umbrella of 'AI'.
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