rasbt--python-machine-learning-book
wehub-resource-sync
75 行
2.2 KiB
Markdown
75 行
2.2 KiB
Markdown
# What are some real-world examples of applications of machine learning in the field?
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In our time and age, it is really hard to find a problem where machine learning is not already applied -- machine learning is practically everywhere, in business applications and science. Below is a short list of the maybe most common and intuitive examples:
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### Computational Biology & Drug Discovery/Design
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- screening large molecule databases and identify which (drug-like) molecules are likely binding to a particular receptor protein
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- predict the potency of a receptor agonist or antagonist
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(In the figure above, I rendered a crystal structure HIV protease and some potential inhibitors, PDB Code: 4TVH)
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Some interesting papers if you want to read more:
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- Tarca, Adi L., et al. "Machine learning and its applications to biology." PLoS Comput Biol 3.6 (2007): e116.
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(http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.0030116)
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- Lavecchia, Antonio. "Machine-learning approaches in drug discovery: methods and applications." Drug discovery today 20.3 (2015): 318-331.
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(http://www.sciencedirect.com/science/article/pii/S1359644614004176)
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### Web Search and Recommendation Engines:
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- find recognize input, find relevant searches, predict which results are most relevant to us, return a ranked output
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- recommend similar products (e.g., Netflix, Amazon, etc.)
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### Finance
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- predict if an applicant is credit-worthy
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- detect credit card fraud
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- find promising trends on the stock market
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### Text and Speech Recognition
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- handwritten digit and letter recognition at the post office
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- voice assistants (Siri)
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- language translation services
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(Source: https://en.wikipedia.org/wiki/Handwriting_recognition)
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### Space, Astronomy, and Robotics
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- autonomous Mars robots
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- identification of relevant information (objects) in large amounts of Astronomy data
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(Source: https://en.wikipedia.org/wiki/Star)
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### Social Networks and Advertisement
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- data mining of personal information
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- selecting relevant ads to show
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