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Data Science Central 05/27/2020 13:59
Product of two large primes are at the core of many encryption algorithms, as factoring the product is very hard for numbers with a few hundred digits. The two prime factors are associated with the encryption keys (public and private keys). Here we describe a new approach to factoring a big number that is the product of two primes of roughly the same size. It is designed especially to handle this problem and identify flaws in encryption algorithms. While at first glance it appears…
Data Science Central 05/26/2020 15:58
It's been two years since Mckinsey invented the term analytics translator, called it the ‘new must-have role’ and predicted we’d need around 5 million of them. FIVE MILLION. That’s a bit more than the entire population of Los Angeles, but just slightly less than all of Norway. For the past ten years, we’ve struggled with the ambiguous title ‘data scientist’, then ‘citizen data scientist’.
Data Science Central 05/26/2020 15:58
WhiteNoise is the newly available Differential Privacy System by OpenDP. The intent of Differential Privacy is to preserve the security of personally identifiable information & prevent against database reconstruction attacks. The methods provided by the WhiteNoise system are part of a toolkit that enable researchers to readily enhance their existing processes with differential privacy techniques. The Differential Privacy System. The Differential Privacy…
Data Science Central 05/26/2020 15:58
Oh, the strategy pundits hate me! It’s not because I’m tall, good looking and from Iowa (well, 2 out of 3 ain’t bad), it’s because I think Strategy as a “Discipline” is way overblown. I won’t go as far as the Harvard Business Review to state that “”, but the importance of carefully defining a strategy (typically done in the ivory towers of the puzzle palace) and then commanding all the little…
Data Science Central 05/26/2020 14:37
In the comments section of my 2020 , quite a few respondents felt that much of the embedded world is being subsumed by canned solutions. Will OSes like Linux and cheap, powerful boards like the Raspberry Pi and Arduino replace traditional engineering? Has that already happened? A number of people complained their colleagues no longer understand low-level embedded things like DMA, chip selects, diddling I/O registers, and the like. They feel these platforms isolate the engineer from those details. Part of me says yeah! That's sort of what we want. Reuse and abstraction means the developer can focus on the application rather than bringing up a proprietary board. Customers want solutions and don't care about implementation details. We see thes.
Data Science Central 05/26/2020 13:58
Summary: What is an AI Product Manager and how do you know when you need one. The role of Product Manager (PM) can mean many things dependent on the specifics of the company, its markets, its channels, and the variety of its products. It’s almost impossible to put a single label on the responsibilities of a…
Data Science Central 05/24/2020 17:58
Naming conventions are often quite different in statistics and data science , which causes quite a bit of confusion. Part of the problem with naming conventions is that "... data science. is the child of statistics and computer science ” (Blei & Symth, 2017) . In essence, data science then is the child of two parents who speak different languages. In one sense, this makes the job of the data scientist not only to apply the knowledge from both…
Data Science Central 05/21/2020 17:58
After being confined for 2 months and hearing the word pandemic almost daily, seeing graphs, opinions, time lines and values that rise and fall, I became curious. Firstly, what is a pandemic? Is it the same as an epidemic? A plague? Was the plague an epidemic? What do epidemiologists study? Yes, they study a discipline called epidemiology. What is epidemiology? Epidemiology studies the distribution, frequency, relationships, predictions, and…
Data Science Central 05/21/2020 17:58
In supervised machine learning algorithms, Random Forest stands apart as it is arguably the most powerful classification model. When Microsoft developed their X-box game which enables you to play as per the movement of your posture, they used Random Forest over any other machine learning algorithm and over ANN (Advanced Neural Networks) as well ! I am assuming that if you are reading this blog, you are well versed with Decision Tree Classification. However, if you are not, need not…
Data Science Central 05/21/2020 15:58
The Entropy is one of the most important concepts in many fields like physics, mathematics, information theory, etc. Entropy is related to the number of states that one stochastic system can take and how this system will evolve with time, in such a way that the uncertainty will be maximized. This will happened y two ways, first, every system will choose the configuration with a higher degree of entropy among all that are available and second, if we let the system evolve, after...
Data Science Central 05/21/2020 15:58
Introduction. Hybrid Quantum-Classical Computing (HQCC) (a.k.a. Variational Quantum Eigensolver (VQE)) is often touted as one of the main algorithms of Quantum AI. In fact, Rigetti, a Silicon Valley company which for several years has provided cloud access to their superconductive quantum computer, has designed its services around the HQCC paradigm. In this brief blog post, I will explain how HQCC can be understood in terms of quantum Bayesian networks. In the process, I will…

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