Motivation IoT has become a massive body of work in recent years. The growing trend of Internet of Things in last few years is evident from the graph below. IoT spans multiple domains and diverse industries. Thousands of new jobs have been created thanks to the advanced in IoT technology. The interpretability of IoT data creates a path for: Defining ML models Increasing the accuracy of predicting events Raising alarms, among other things My aim […]
April 27, 2020
Google Cloud Architecture for Machine Learning Algorithms in the Telecom Industry Introduction The unprecedented growth of mobile devices, applications and services have placed the utmost demand on mobile and wireless networking infrastructure. Rapid research and development of 5G systems have found ways to support mobile traffic volumes, real-time extraction of fine-grained analytics, and agile management of network resources, so as to maximize user experience. Moreover inference from heterogeneous mobile data from distributed devices experiences challenges due to […]
Profiling Statistics of Python Libraries and Insights of New/Emerging Factorization Techniques Introduction In my previous blog, I narrated about different matrix factorization techniques, citing pros and cons of each of the libraries. In this blog, I will give some code samples of some of the previously discussed libraries. We will also see the profiling statistics of some of the python libraries (for SVD/Recommendation Engine) so as to understand the time taken to execute the training engine, […]
Regression techniques and their Applications Motivation Regression is a statistical measurement used to determine the strength of the relationship between one dependent variable (usually denoted by Y) and a series of other changing variables (known as independent variables). The most well known statistic of regression is R2 (R Square). During modeling a Regression problem, the following points need to be carefully considered : Choice of dependent and regressor variable. The omitted variable Stability of regression Choice of relation to be […]
