Building Big Data Applications by Krish Krishnan

Author:Krish Krishnan [Krishnan, Krish]
Language: eng
Format: epub, pdf
ISBN: 9780128158043
Publisher: Elsevier Science
Published: 2019-11-15T09:01:22+00:00

Additional reading

Predict malaria outbreaks (http://ijarcet.org/wp-content/uploads/IJARCET-VOL-4-ISSUE-12-4415-4419.pdf).

MIT Clinical Machine Learning Group is spearheading the development of next-generation intelligent electronic health records (http://clinicalml.org/research.html).

MATLAB’s ML handwriting recognition (https://www.mathworks.com/products/demos/machine-learning/handwriting_recognition/handwriting_recognition.ht technologies).

Google’s Cloud Vision API (https://cloud.google.com/vision/) for optical character recognition.

Stat News (https://www.statnews.com/2016/10/03/machine- learning-medicine-health/).

Advanced predictive analytics in identifying candidates for clinical trials (http://www.mckinsey.com/industries/pharmaceuticals- and-medical-products/our-insights/how-big-data-can- revolutionize-pharmaceutical-r-and-d).

The UK’s Royal Society also notes that ML in bio- manufacturing for pharmaceuticals (http://blogs.royalsociety.org/in- verba/2016/10/05/machine-learning-in-the- pharmaceutical-industry/).

Microsoft’s Project Hanover (http://hanover.azurewebsites.net/) is using ML technologies in multiple initiatives, including a collaboration with the Knight Cancer Institute (http://www.ohsu.edu/xd/health/services/cancer/) to develop AI technology for cancer precision treatment).

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