Statistical learning plays a key role in many areas of science, finance andindustry. Here are some examples of learning problems:
- Predict whether a patient, hospitalized due to a heart attack, will have a second heart attack. The prediction is to be based on demographic,diet and clinical measurements for that patient.
- Predict the price of a stock in 6 months from now, on the basis of company performance measures and economic data.
- Identify the numbers in a handwritten ZIP code, from a digitized image.
- Estimate the amount of glucose in the blood of a diabetic person,from the infrared absorption spectrum of that person’s blood.
- Identify the risk factors for prostate cancer, based on clinical and demographic variables.
The science of learning plays a key role in the fields of statistics, datamining and artificial intelligence, intersecting with areas of engineering and other disciplines.
Not a single word above is mine. One of the tweets I received talks about using R for machine learning. I am curious about this subject and may even use it for some of our products. R comes up a lot in many things I read about data. So I decided to investigate. Here is the journey of articles I found and ended downloading the free book on Elements of Statistical Learning.
- I lost the link to the tweet and decided to get help from Google and searched for “R for machine learning”
- Found this link interesting and made it my starting point – Guide to getting started in Machine Learning.
- Found a fascinating link on How Google and Facebook are using R. Who can resist that?
- Got started with Elements of Statistical Learning
So here I am. I have not even started the book and not sure how long it will take me. I found this fascinating list of examples of machine learning and thought that it may be a great motivator to embark on this learning journey.