Data Science
Data science at its most basic level is defined as using data to obtain insights and information that provide some level of value.
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STATISTICS
Karl Pearson, a British mathematician and arguably the father of modern Statistics, is credited with the quote:
“Statistics is the grammar of Science”
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Machine Learning
Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.
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Deep Learning
Deep learning structures algorithms in layers to create an “artificial neural network” that can learn and make intelligent decisions on its own
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Big Data
Big data refers to the large, diverse sets of information that grow at ever-increasing rates. It encompasses the volume of information, the velocity or speed at which it is created and collected, and the variety or scope of the data points being covered. Big data often comes from multiple sources and arrives in multiple formats.
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Python
One of the best features of Python is that it is an open-source language. This means anyone can add to the existing functions of Python. In fact, companies each day are coming up with their own set of frameworks and functions that are helping them accomplish a goal faster and at the same time also assisting other developers who share the platform.
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Visualization
https://mr-nlp.github.io/posts/2021/05/transformer-based-biomedical-pretrained-language-models-list/
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