blog.abhishekpriyam.com
Abhishek Priyam, Author at Stochastic thoughts
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Blog on analytics and more… by Abhishek Priyam. Pricing strategy - How technology can help. May 31, 2016. The article is written by Chhaya Narula, originally for Tattva. Annual Consult Club magazine of IIM Ahmedabad and is being published on this blog after her permission. What is usually done. Why is optimal pricing strategy important? How is it done and key considerations. Senior Analyst, Fractal Analytics. To splash or not to splash - splash screen in Android. May 28, 2016. May 30, 2016. If your appli...
blog.abhishekpriyam.com
Machine Learning Archives - Stochastic thoughts
http://blog.abhishekpriyam.com/tag/machine-learning
Blog on analytics and more… by Abhishek Priyam. Do machine learning algorithms have memory? May 6, 2015. May 30, 2016. This blog was written by me for Fractal Analytics' blog. Which was published on 28th April 2015. Machine learning algorithms are getting better and better at understanding and predicting data. They learn from historical data and predict the future. But are they actually learning from their history? Do they even have a memory to know what the history is? We have following x : y data points.
blog.abhishekpriyam.com
Posts on Analytics - Stochastic thoughts
http://blog.abhishekpriyam.com/category/analytics
Blog on analytics and more… by Abhishek Priyam. Posts related to analytics and machine learning. How evil can customer segmentation be - pushing the limits. August 28, 2015. September 19, 2015. Note - This is a just a hypothetical thought experiment. Do you think companies are capable of describing and to a great extend predicting your behaviors? Are they capable of predicting what brands you are going to buy next? Suppose I am one of the brands in mobile industry. Now given the huge amount of data y...
blog.abhishekpriyam.com
Online Machine Learning - Handling huge datasets
http://blog.abhishekpriyam.com/analytics/online-machine-learning-handling-huge-streaming-data
Blog on analytics and more… by Abhishek Priyam. Online Machine Learning - handling huge streaming data. April 19, 2015. May 30, 2016. This blog was earlier published on Fractal Analytics' blog. Written by me and Chhaya Narula. A recent Kaggle competition. Iterate through i = 1 to T, where T is the total number of training observations. Predict y for this observation using. Compare it with the actual y for the observation, calculate error. Update the weights wi based on the error. On ad click prediction.