ml realworld examples

README.md

@@ -87,6 +87,7 @@ Excerpts from the [Foreword](./docs/foreword_ro.pdf) and [Preface](./docs/prefac
 
 ### Questions about the Machine Learning Field
 
+- [What are some real-world examples of applications of machine learning in the field?](./faq/ml-examples.md)
 - [What are the different fields of study in data mining?](./faq/datamining-overview.md)
 - [What are differences in research nature between the two fields: machine learning & data mining?](./faq/datamining-vs-ml.md)
 - [How do I know if the problem is solvable through machine learning?](./faq/ml-solvable.md)

faq/README.md

@@ -32,6 +32,7 @@ Sebastian
 
 ### Questions about the Machine Learning Field
 
+- [What are some real-world examples of applications of machine learning in the field?](./ml-examples.md)
 - [What are the different fields of study in data mining?](./datamining-overview.md)
 - [What are differences in research nature between the two fields: machine learning & data mining?](./datamining-vs-ml.md)
 - [How do I know if the problem is solvable through machine learning?](./ml-solvable.md)

faq/ml-examples.md

@@ -0,0 +1,72 @@
+# What are some real-world examples of applications of machine learning in the field?
+
+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:
+
+### Computational Biology & Drug Discovery/Design
+
+
+
+- screening large molecule databases and identify which (drug-like) molecules are likely binding to a particular receptor protein
+- predict the potency of a receptor agonist or antagonist
+
+![](./ml-examples/hiv-protease.png)
+
+(In the figure above, I rendered a crystal structure HIV protease and some potential inhibitors, PDB Code: 4TVH)
+
+Some interesting papers if you want to read more:
+
+- Tarca, Adi L., et al. "Machine learning and its applications to biology." PLoS Comput Biol 3.6 (2007): e116.
+(http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.0030116)
+
+- Lavecchia, Antonio. "Machine-learning approaches in drug discovery: methods and applications." Drug discovery today 20.3 (2015): 318-331.
+(http://www.sciencedirect.com/science/article/pii/S1359644614004176)
+
+
+
+
+### Web Search and Recommendation Engines:
+
+- find recognize input, find relevant searches, predict which results are most relevant to us, return a ranked output
+- recommend similar products (e.g., Netflix, Amazon, etc.)
+
+![](./ml-examples/google.png)
+
+
+
+### Finance
+
+- predict if an applicant is credit-worthy
+- detect credit card fraud
+- find promising trends on the stock market
+
+![](./ml-examples/stock-market.png)
+
+### Text and Speech Recognition
+
+
+
+- handwritten digit and letter recognition at the post office
+- voice assistants (Siri)
+- language translation services
+
+![](./ml-examples/letter.jpg)
+
+(Source: https://en.wikipedia.org/wiki/Handwriting_recognition)
+
+### Space, Astronomy, and Robotics
+
+
+
+- autonomous Mars robots
+- identification of relevant information (objects) in large amounts of Astronomy data
+
+![](./ml-examples/stars.jpg)
+
+(Source: https://en.wikipedia.org/wiki/Star)
+
+### Social Networks and Advertisement
+
+- data mining of personal information
+- selecting relevant ads to show
+
+![](./ml-examples/fb.png)