Correlation does not imply causation
A popular phrase tossed around when we talk about statistical data is “there is correlation between variables”. However, many people wrongly consider this to be the e...
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Why Data Decays so Fast?
People change jobs, get promoted and move home. Companies go out of business, expand and relocate. Every one of these changes contributes to data decay. It’s been sai...
Understanding machine learning #3: Confusion matrix – not all errors are equal
One of the most typical tasks in machine learning is classification tasks. It may seem that evaluating the effectiveness of such a model is easy. Let’s assume that we h...
Probabilistic Pentesting
Pentesting tools like Metasploit, Burp, ExploitPack, BeEF, etc. are used by security practitioners to identify possible vulnerability points and to assess compliance w...
Measuring Similarity between Objects
The ability to recognize objects and their relationships is at the core of intelligent behavior. This, in turn, depend on one’s ability of perceiving similarity or di...
Honeypot Turing Test
The honeypot is a method of cybersecurity in which a bait (‘honey’) system/network is designed to emulate or act as a real system/network to divert malicious attacks ...
Differences between Data Mining and Predictive Analytics
What is Data Mining? Data mining is an integrated application in the Data Warehouse and describes a systematic process for pattern recognition in large data sets to ident...
Aligning Data Science and organizational structure: how companies are solving this issue?
Politecnico di Milano is investigating on it. The proliferation of data and the huge potentialities for companies to turn data into valuable insights are increasing more ...
Top 30 people in Big Data and Analytics
Innovation Enterprise has compiled a top 30 list for individuals in big data that have had a large impact on the development or popularity of the industry. Here is an i...
Some Online Data Science Courses Worth Checking
Students now can make important decisions. If you want to achieve career advancement, shift to another career, go on your own, pursue your dreams, or simply improve on yo...