BigDataFr recommends: A Proposed Architecture for Big Data Driven Supply Chain Analytics […] In a world awash with data, the ability to think and compute with data has become an important skill for students in many fields. For that reason, inclusion of some level of statistical computing in many introductory-level courses has grown more common […]
Author: Big Data
[Datasciencecentral] BigDataFr recommends: Why R is Bad for You
BigDataFr recommends: Why R is Bad for You […] Someone had to say it. I know this will be controversial and I welcome your comments but in my opinion R is not the best way to learn data science and not the best way to practice it either. Why Should We Care What Language You […]
[ArXiv] BigDataFr recommends: A Proposed Architecture for Big Data Driven Supply Chain Analytics
BigDataFr recommends: A Proposed Architecture for Big Data Driven Supply Chain Analytics […] Advancement in information and communication technology (ICT) has given rise to explosion of data in every field of operations. Working with the enormous volume of data (or Big Data, as it is popularly known as) for extraction of useful information to support […]
[ArXiv] BigDataFr recommends: Big Data Analysis Using Shrinkage Strategies
BigDataFr recommends: Big Data Analysis Using Shrinkage Strategies […] In this paper, we apply shrinkage strategies to estimate regression coefficients efficiently for the high-dimensional multiple regression model, where the number of samples is smaller than the number of predictors. We assume in the sparse linear model some of the predictors have very weak influence on […]
[ArXiv] BigDataFr recommends: Best Practices for Applying Deep Learning to Novel Applications
BigDataFr recommends: Best Practices for Applying Deep Learning to Novel Applications […] This report is targeted to groups who are subject matter experts in their application but deep learning novices. It contains practical advice for those interested in testing the use of deep neural networks on applications that are novel for deep learning. We suggest […]
[Datasciencecentral] BigDataFr recommends: A Robot Took My Job – Was It a Robot or AI?
BigDataFr recommends: A Robot Took My Job – Was It a Robot or AI? […] There’s been a lot of contradictory opinion in the press recently about future job loss from robotics and AI. They range from Bill Gates’ hand wringing assertion that we should slow this down by taxing robots to Treasury Secretary Steve […]
[ArXiv] BigDataFr recommends: Enabling Smart Data: Noise filtering in Big Data classification
BigDataFr recommends: Enabling Smart Data: Noise filtering in Big Data classification […] In any knowledge discovery process the value of extracted knowledge is directly related to the quality of the data used. Big Data problems, generated by massive growth in the scale of data observed in recent years, also follow the same dictate. A common […]
[arXiv] BigDataFr recommends: Big Data in HEP: A comprehensive use case study
BigDataFr recommends: Big Data in HEP: A comprehensive use case study […] Experimental Particle Physics has been at the forefront of analyzing the worlds largest datasets for decades. The HEP community was the first to develop suitable software and computing tools for this task. In recent times, new toolkits and systems collectively called Big Data […]
[Datasciencecentral] BigDataFr recommends: The Future Is Intelligent Apps
BigDataFr recommends: The Future Is Intelligent Apps […] I have seen the future! Of course, I seem to say that every other month (maybe that’s because the future keeps changing?), but this is a good one. The future is a collision between big data (and data science) and application development that will yield a world […]
[arXiv] BigDataFr recommends: Big Data for Social Sciences: Measuring patterns of human behavior through large-scale mobile phone data
BigDataFr recommends: Big Data for Social Sciences: Measuring patterns of human behavior through large-scale mobile phone data Subjects: Computers and Society (cs.CY); Social and Information Networks (cs.SI) […] ABSTRACT Through seven publications this dissertation shows how anonymized mobile phone data can contribute to the social good and provide insights into human behaviour on a large […]