BigDataFr recommends: Mary Meeker, Analytics, and the Future of the Internet […] It’s that time of year again when Mary Meeker, the great seer of the internet once again releases her annual Internet Trends 2016 report. If by chance you don’t know who Ms. Meeker is she is a partner in the VC firm Kliener […]
Author: Big Data
[arXiv – Tip] BigDataFr recommends: D-SPACE4Cloud: A Design Tool for Big Data Applications
BigDataFr recommends: D-SPACE4Cloud: A Design Tool for Big Data Applications Subjects: Distributed, Parallel, and Cluster Computing […]The last years have seen a steep rise in data generation worldwide, with the development and widespread adoption of several software projects targeting the Big Data paradigm. Many companies currently engage in Big Data analytics as part of their […]
[Datasciencecentral] BigDataFr recommends: Stream Processing and Streaming Analytics – How It Works
BigDataFr recommends: Stream Processing and Streaming Analytics – How It Works […] Recently we started exploring the basics of Event Stream Processing (ESP) in our article Stream Processing – What Is It and Who Needs It. There we explained ESP capabilities, technologies, platforms, and business cases. There’s one more piece of information that you need […]
[arXiv] BigDataFr recommends: Sparse p-Adic Data Coding for Computationally Efficient and Effective Big Data Analytics
BigDataFr recommends: Sparse p-Adic Data Coding for Computationally Efficient and Effective Big Data Analytics […]We develop the theory and practical implementation of p-adic sparse coding of data. Rather than the standard, sparsifying criterion that uses the L0 pseudo-norm, we use the p-adic norm. We require that the hierarchy or tree be node-ranked, as is standard […]
[Datasciencecentral] BigDataFr recommends: Deep Learning: Definition, Resources, Comparison with Machine Learning
BigDataFr recommends: Deep Learning: Definition, Resources, Comparison with Machine Learning […] Deep learning is sometimes referred to as the intersection between machine learning and artificial intelligence. It is about designing algorithms that can make robots intelligent, such a face recognition techniques used in drones to detect and target terrorists, or pattern recognition / computer vision […]
[Techcrunch] BigDataFr recommends: Strengthening authentication through big data
BigDataFr recommends: Strengthening authentication through big data […]The fact that plain passwords are no longer safe to protect our digital identities is no secret. For years, the use of two-factor authentication (2FA) and multi-factor authentication (MFA) as a means to ensure online account security and prevent fraud has been a hot topic of discussion. Technological […]
[Data Science Central] BigDataFr recommends: Data Scientists Automated and Unemployed by 2025!
BigDataFr recommends: Data Scientists Automated and Unemployed by 2025! […] In a recent poll the question was raised “Will Data Scientists be replaced by software, and if so, when?” The consensus answer: Data Scientists automated and unemployed by 2025. Are we really just grist for the AI mill? Will robots replace us? As part of […]
[Data Science Central] BigDataFr recommends: 5 Obstacles Companies Face When Adopting a New Analytics Strategy
BigDataFr recommends: 5 Obstacles Companies Face When Adopting a New Analytics Strategy […] Analytics is a general term for a number of different processes, all of which are geared toward better understanding your demographics (or industry in general), and making improvements to your business’s infrastructure to account for those new insights. Unfortunately, whenever a company […]
[arXiv] BigDataFr recommends: Big Data Analytics Using Cloud and Crowd
BigDataFr recommends: Big Data Analytics Using Cloud and Crowd […]The increasing application of social and human-enabled systems in people’s daily life from one side and from the other side the fast growth of mobile and smart phones technologies have resulted in generating tremendous amount of data, also referred to as big data, and a need […]
[Data Science Central] BigDataFr recommends: Industrialising Data Science
BigDataFr recommends: Industrialising Data Science […] If DS is to fulfil its promise, it needs to industrialise. This blog explains what I mean by this, and proposes a number of issues which must be addressed if it is to do so. The application of pattern recognition technology to large datasets has revolutionised the digital economy. […]