It seems most applications of machine learning has to with clustering and regression (mostly for dimensional reduction techniques).
Is there other areas of importance of which machine learning principles could be applied ? Especially in data analytics?
Hi Emmanuel,
There are other machine learning algorithms that could be used depending on the nature of your dataset and what you want to find in the dataset aside the ones you mentioned. See the following the link .
https://www.analyticsvidhya.com/blog/2015/08/common-machine-learning-algorithms/
please see
The Top 10 AI And Machine Learning Use Cases Everyone Should Know About
https://www.forbes.com/sites/bernardmarr/2016/09/30/what-are-the-top-10-use-cases-for-machine-learning-and-ai/#6b4baec794c9
Hi Emmanuel,
A good overview of situations where machine learning can and cannot be applied can be found on the paper "A few useful things to know about machine learning" by Pedro Domingos.
https://www.researchgate.net/publication/260282920_A_Few_Useful_Things_to_Know_About_Machine_Learning
The full text can be found in here:
https://homes.cs.washington.edu/~pedrod/papers/cacm12.pdf
Best Regards,
Heitor
Article A Few Useful Things to Know About Machine Learning
Hi Emmanuel, machine learning can also be applied in cognitive computing. It's an exciting field. You can try explore that. Good luck.
Machine learning can be used medical imaging and image processing
Check this link editorial
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7235002
Please let me know if these references/sites are useful to you:
1. Introduction to Machine Learning - Alex Smola
alex.smola.org/drafts/thebook.pdfSimilar
Results 1 - 10 - available there is good reason to believe that smart data analysis will become ... Machine Learning is the study of computer algorithms that improve automatically ..... results in a probability density function or PDF for short.
2. Introduction to Data Mining and Machine Learning Techniques
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... Mining and Machine. Learning Techniques ... Supervised vs. unsupervised data mining. Applications. Data mining ... Data analysis. • Information harvesting.
3. Predictive Analytics and Machine Learning: An Overview - IBM
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Apr 27, 2012 - Business Analytics software. Statistical Analysis and Machine Learning. ▫ Statistical Analysis. –Confirm Hypotheses. –Data Requirements.
4. Data Analysis Projects - Machine Learning Department - School of ...
https://www.ml.cmu.edu/research/data-analysis-projects.htmlCached
Data Analysis Projects. ... [.pdf] - George Montañez, 3/15. Graph Structure Learning from Unlabeled Data for Event Detection [.pdf] - Sriram Somanchi, 3/15.
5. Complementarities and differences between machine learning
data-mining-
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BETWEEN MACHINE LEARNING. AND DATA MINING AND. STATISTICS. IN ANALYTICS AND BIG. DATA PART I + II. Petra Perner. Institute of Computer Vision ...
6. Machine Learning and Statistics - Department of Computer Science
www.cs.waikato.ac.nz/ml/publications/1995/Cunningham95-ML-Stats.pdfCached
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