Machine learning
Introduction :
Some of the most significant technologies we employ, such as driverless
vehicles,translation applications,recommendation
systems, medical imaging equipment and many more are powered by
machine learning (ML).
ML offers a fresh approach to resolving issues and responding to
difficult queries.
In its simplest form, machine learning (ML) is the act of teaching a computer program, known as a model, to make useful predictions from data.
The mathematical relationship between the data pieces that an ML system utilizes to create predictions is represented by an ML model.
---- Summary ----
As of now you know all basics of Protein Structures.
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Central Dogma of life.
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Amino acids and it's types.
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Peptide bonds and torsion angles.
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Ramachandran Plots and protein secondary structures.
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etc..
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