Author: Data Science Central

Feed: Featured Blog Posts - Data Science Central. Author: Diego Lopez Yse. Do you think your actions are the result of your own free choices? What if those actions are the inevitable and necessary consequence of antecedent states of affairs? What does this mean for your free will? In a deterministic world where there’s an exclusive future for all our actions, digital users can become more predictable and monetizable than ever. In fact, by using creative designs and deceptive strategies, companies can create deterministic worlds and exploit the fact that human behaviour is hardwired to choose the path of least ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Diego Lopez Yse. Do you know how your apps work? Are you aware of what tech companies are doing in the back with your data? And what’s more revealing: do you know which of your action are actually influenced by those apps? When you take a trip with Uber, buy stuff on Amazon, or watch a movie on Netflix: when are you consciously deciding and when are you being heavily influenced? Tech companies are not passively observing your behavior and acting as a consequence: they are influencing your behavior so you become ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Ryan Williamson. Cloud computing has become ubiquitous in today’s fast-paced business environment. When you combine this dynamic technology with DevOps culture, your business transforms in real-time. With benefits like on-demand scalability, quicker run times, consistent codes, and high-performing apps, this game-changing combination can empower your business to become more agile, responsive and swift. If you haven't implemented it yet, here are three big reasons to do it right away: Accelerated Time to Market: Automation is a key driving factor for infrastructure management. It determines the success of a product or service by ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Subhro Kar. CALL SYMPUT and CALL SYMPUTX CALL SYMPUT and CALL SYMPUTX in SAS are the most commonly used DATA Step call routines to interact with the Macro Facility in SAS. Both are used to assign a value of DATA step to a macro variable. SYNTAX: CALL SYMPUT(macro-variable, value); Arguments are macro-variable and can be one of the following items: a character string that is a SAS name, enclosed in quotation marks. It can contain the name of a character variable. A character expression to create a macro variable name. You ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: sairam. Data Science has been coined everywhere, and everybody wants to express their views and thoughts on this subject even though they are a novice or lack adequate knowledge about data science! The idea that everyone can become a data scientist only by studying a few technological advances and solving any complicated problems cripples the world today.  Let us first understand the career perspectives of data science. Data science has three pillars: Business Expert - Data Analyst Technology Expert - Data Engineer Statistics & Algorithm - Data Scientist First, make it ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Sergey Lukyanchikov. InterSystems IRIS – the All-Purpose Universal Platform for Real-Time AI/ML Author: Sergey Lukyanchikov Challenges of real-time AI/ML computations We will start from the examples that we faced as Data Science practice at InterSystems: A “high-load” customer portal is integrated with an online recommendation system. The plan is to reconfigure promo campaigns at the level of the entire retail network (we will assume that instead of a “flat” promo campaign master there will be used a “segment-tactic” matrix). What will happen to the recommender mechanisms? What will happen to data ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Don Philip Faithful. Ever since I started following stocks again, I have been preoccupied with developing a "game plan" to help prevent me from making emotional investment decisions.  Plans can be improved.  What I have come up with so far is a stress avoidance model to study how different character types might perform in relation to the market.  Since quite a number of investors are actually algorithms - and many trades are algorithmically triggered - the concept of stress needs to be more liberally interpreted.  What "stress avoidance" means to a ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Sanjeev Verma. No matter how latest the technology is, it is often blamed responsible for the current environmental issues from internal engine combustion to electronic wastes. Typically, we don't associate high-end technologies with environmental sustainability. However, in the right hands and right applicability, technologies like AI and IoT hold great potential to resolve planet issues immediately. You just got to trust and apply it in the right direction. The Internet of Things is wide spreading its concepts and applications at the global level. In the current times, 127 new IoT devices ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Stephanie Glen. Bayes' Theorem formula. Bayes' Theorem, which The Stanford Encyclopedia of Philosophy calls "...a simple mathematical formula" can be surprisingly difficult to actually solve. If you struggle with Bayesian logic, solving the "simple" formula involves not much more than guesswork. You have to translate a problem into "A given B" and "B given A", cross your fingers that you're guess for whatever A and B is is right, double check your thoughts, get thoroughly lost, and punch the resulting fractions into a calculator. The calculator will spit out an answer which ... Read More

Feed: Featured Blog Posts - AnalyticBridge. Author: Elise Devaux. This articles discusses some of the data challenges that the healthcare industry faces. It also revisits how Statice's collaboration with the leading health organization Roche to test the use of synthetic medical data for clinical research and what opportunities we see from this. The data challenges in the healthcare industry  Maybe more than for other industries, research and innovation in healthcare rely on the ability to access and analyze data. It fuels the machine learning models that help to discover new diseases. It powers personalized medicine and fosters the research on drug ... Read More