I'm talking about mathematical equations, greek notation, and meticulously defined concepts that make it difficult to develop an interest in the subject. There are certainly some factors that make learning statistics hard. You can’t solve real-world problems with machine learning if you don’t have a good grip of statistical fundamentals. The core of machine learning is centered around statistics. Statistics is an important prerequisite for applied machine learning, as it helps us select, evaluate and interpret predictive models. Now, statistics and machine learning are two closely related areas of study. Inferential Statistics - this offers methods to study experiments done on small samples of data and chalk out the inferences to the entire population (entire domain).Descriptive Statistics - this offers methods to summarise data by transforming raw observations into meaningful information that is easy to interpret and share.Statistics is a set of mathematical methods and tools that enable us to answer important questions about data.
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