Tag: data scientist

Feed: R-bloggers. Author: R Views. Greg Wilson is a data scientist and professional educator at RStudio. As a newcomer to R who prefers to read paper rather than pixels, I’ve been working my way through a more-or-less random selection of relevant books over the past few months. Some have discussed topics that I’m already familiar with in the context of R, while others have introduced me to entirely new subjects. This post describes four of them in brief; I hope to follow up with a second post in a few months as I work through the backlog on my desk ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. To subscribe, follow this link.   Announcement Learn why DataRobot is included for the first time as a Visionary in the 2019 Gartner Magic Quadrant for Data Science and Machine Learning Platforms. Access the report to: Get current insight on the data science and machine learning market See how augmented data science capabilities compare to traditional approaches Make an informed decision platform that’s best ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. Editor’s Note: This presentation was given by Irene Iriarte-Carretero at GraphConnect San Francisco in October 2016.Presentation SummaryGousto is a UK-based recipe box service that uses Neo4j to map recipe ontologies so it can provide more personalized recommendations to customers. It all starts with the customer data journey, and all the places along the way that data collection and analysis can help improve efficiencies in the areas of marketing, forecasting, warehouse distributing, and product allocation. Customer personalization plays an extremely important role in the company’s business model for a simple reason: providing relevant ... Read More

Feed: SAS Blogs. Author: Karen Prillwitz. “We have a data lake. Nowadays, who needs a data warehouse too? That’s totally antiquated. It’s an obsolete model.” I often hear this kind of sentiment in my consulting work with clients. Dynamic analytics and digitisation teams face what they see as antiquated systems that are in urgent need of an overhaul. Unfortunately, this often leads to confrontations with the guardians of the previous systems. Views and working methods collide, and so do those involved. Conflict, lack of respect and contempt are much more prevalent than anyone is prepared to admit. In some businesses, ... Read More

Feed: Big Data Made Simple. Author: Guest. The data scientist is one of the highest-paid, most in-demand, and most satisfying jobs in the world right now. But how do you make it in this field? Last year, we saw what it took to be a successful data scientist in 2018; now, let’s look at the data scientist of 2019.So, how can the data inform the aspiring data scientist?At first glance, we see that the data science field is dominated by men (69%) who are bilingual, prefer to program in Python or R (73%); they have worked for an average of ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: William Vorhies. Summary:  True prescriptive analytics requires the use of real optimization techniques that very few applications actually use.  Here’s a refresher on optimization with examples of where and how they’re best used. Predictive analytics and optimization have gone hand in hand since the very beginning.  But in 2014 some erudite journal decided we needed another phrase for this combo and it became Prescriptive Analytics, theoretically differentiating what could happen (predictive) from what should happen (prescriptive) through the application of optimization. Originally I felt strongly that this was a distinction without ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. It all depends on the classes that you attended. Some are worth listing, some are best not to mention. Here I review of few of these data science curricula, and the impression it can make on hiring managers, depending on your profile, work experience, and strength (or lack of) of these programs. Three categories of data science programs Type 1: cheap The cheap version, is usually based on a monthly subscription model. It typically costs less than $30 per month and gives you access to a wide array of ... Read More

Feed: SAS Blogs. Author: Business Analytics Portugal. Caros leitores, Bem-vindos ao Hidden Insights! Este será um espaço de partilha onde vamos poder discutir os mais variados temas à volta da importância e impacto que as soluções analíticas têm no Mundo atual e nas nossas vidas. Estamos na era da Inteligência Artificial, da Internet das coisas, do Edge, da Cloud e de mais uma panóplia de conceitos que nos remetem para uma realidade mais eficiente, sustentável, flexível, integrada, versátil e, claro está, mais inovadora. E é dado adquirido que os dados e a análise dos mesmos, quando feita da forma correta, proporcionam às ... Read More

Feed: Big Data Made Simple. Author: Neeraj R. The field of data is ever growing and ever progressive. And the need for organized data is on the rise. But it is not available in that manner from the beginning itself. The raw data is much unstructured and mixed up. There are many things which have no importance in the actual work, yet they get mixed up with entire data and have to be filtered out. That is where the job of a data scientist comes into the play.The primary job being, organizing and maintaining proper data using scientific methods, processes, ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Marshall Lincoln. This is the first article in what will be a three-part series:  "How to make your mark on the world as a talented, socially conscious data scientist." In this article, we discuss how a socially-conscious data scientist might choose a domain to make the greatest impact. The next article will focus on how to maximize the impact you can make at your organization once you’ve chosen your path. In the final post, we will finish the series with a discussion around why the best data scientists are world class ... Read More