Knowledge of basics of statistics has always been and will be of umpteen importance in the data science domain. Also, if someone wants to delve into the buzz streams of the future like Machine Learning, Deep Learning and Artificial Intelligence, solid foundations of statistics are a must
Knowledge of basics of statistics has always been and will be of umpteen importance in the data science domain. Also, if someone wants to delve into the buzz streams of the future like Machine Learning, Deep Learning and Artificial Intelligence, solid foundations of statistics are a must. Partial knowledge of statistics is not only harmful but its application is even worse — ‘a disaster’. Keep a watch on my upcoming/posted blogs where slowly and steadily we will move ahead in this journey of learning by questioning the need of plethora of statistical measures and justifying with relatable examples.
Let’s begin this journey with statistics overview
Two Branches of Statistics:
1. Descriptive Statistics
2. Inferential Statistics
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