In the 21st century, we are able to process huge volumes of data due to the advancements in computer technologies. We are able to analyze and draw insights from this data owing to these advanced computational systems. However, despite all these advancements, data remains a vast ocean that is growing every second.
Data science is an inter-disciplinary field that uses scientific methods, algorithms and systems to extract knowledge and insights from many structural and unstructured data. It uses techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, domain knowledge and information science. Machine learning, on the other hand, refers to a group of techniques used by data scientists that allow computers to learn from data. Data science and machine learning are both very popular buzzwords today.
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