The word “Data Science” has been buzzing around for 30 years. In the 1960s this term was originally known as “Computer Science” and used to define the survey of data processing techniques used in various applications. However, today, data science is not only the exclusive dominating factor for statisticians and computer scientists, but many people from other disciplines are embracing it along with analytics to contribute to evidence-based planning in their respective fields.
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🔵 What is Data Science?
To explain Data Science in simple words: It is a study of where information is extracted from, what it represents and how it can be converted into a valuable source in the building of IT and Business approaches.
Data science is a field that is composed of statistics, mathematics, and computer science disciplines efficiently and incorporates techniques like cluster analysis, machine learning, data visualization, and data mining.
🔵 What is Machine Learning
Machine learning is a subfield of artificial intelligence based on statistics. It involves machines learning how to complete tasks without being explicitly programmed to do so. This part is explained in detail further.
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