Tag: data scientist

Feed: Featured Blog Posts - Data Science Central. Author: Bill Schmarzo. Imagine this scenario: You enter your dentist’s office as a follow-up visit to the 6-month checkup you had last week. You’re nervous because the checkup revealed bleeding in your gums and cracks in your fillings, all things that require your dentist’s repair on this occasion. So, you’re there nervously fidgeting in the lobby waiting for your name to be called, envisioning all sorts of dentistry implements of torture that will soon be inside your mouth. Finally, when your name is called, you’re shown to the room of horrors and ... 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.   Featured Resources and Technical Contributions  Key Graph Based Shortest Path Algorithms - Part 1: Dijkstra's And Bellman-Ford + Portfolio optimization with Quantum Computing Multi Gigabyte R data.table for Ohio Voter Registration/History Importance of Hyper-parameters in Model development Deep Learning from first principles in Python, R and Octave Docker in 10 minutes Scene-rendering with Google's DeepMind 5 Most Preferred Programming ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Murali Kashaboina. While many of the programming libraries encapsulate the inner working details of graph and other algorithms, as a data scientist it helps a lot having a reasonably good familiarity of such details.  A solid understanding of the intuition behind such algorithms not only helps in appreciating the logic behind them but also helps in making conscious decisions about their applicability in real life cases.  There are several graph based algorithms and most notable are the shortest path algorithms.  Algorithms such as Dijkstra’s, Bellman Ford, A*, Floyd-Warshall and Johnson’s algorithms ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Bill Schmarzo. Maybe the biggest challenge we face as a society is our ability to unlearn – to let go of – outdated concepts and beliefs in order to adopt new approaches. Our everyday lives are dominated by outdated concepts: change the oil every 3,000 miles, don’t wear white before Memorial Day, only senior management has the best ideas, don’t eat dessert until you’ve cleaned your plate, trade wars are easy to win, leeches work wonders on headaches, etc. Well, I’m going to throw down the gauntlet and challenge everyone to ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: William Vorhies. Summary:  Looking at the 12 hottest world-changing segments in the VC-funded world shows that AI will play a key role.  Here’s a little more detail. From the inside of the data science profession looking out it’s easy to imagine that almost everything that is or will be important somehow depends on AI.  Maybe that’s true, but how do we tell? First of all we’d have to make a list of all the tech trends that are destined to be game changers over the mid-term, say the next 5 to ... Read More

Feed: R-bloggers. Author: Jesse Cambon. [This article was first published on jessecambon-R, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. One the greatest strengths of R for data science work is the vast number and variety of packages and capabilities that are available. However, it can be intimidating to navigate this large and dynamic open source ecosystem, especially for a newcomer. All the information you need is out there, but it is often ... Read More

Feed: R-bloggers. Author: Business Science. [This article was first published on business-science.io, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. H2O is the scalable, open-source Machine Learning library that features AutoML. Here are 5 Reasons why it’s an essential library for creating production data science code. Full-Stack Data Science Series This is part of a series of articles on essential Data Science and Web Application skills for 2020 and beyond: Part 1 – ... Read More

Feed: Teradata Blog. R and Python are two of the most popular languages for data science. Python is often praised as a general-purpose language traditionally applied in engineering disciplines, while R was initially developed with a focus on statistics. Whatever your language of choice is, chances are you have run into the same problems:   × Did you know that Teradata enables you to solve these problems with your language of choice by processing data directly within a Vantage system? Taking the analytic processing into the Teradata Vantage platform has tremendous processing and performance benefits, namely: R/Python code can leverage Vantage’s massively ... Read More

Feed: R-bloggers. Author: John. In statistics, it is often necessary to not only model data but test that model as well. To do this, you need to randomly separate the data into two groups ensuring even samples regardless of the order of the original sample. Statistical model When a data scientist is working with a data set, he will create a statistical model. Creating a model involves finding a mathematical formula that fits the data. Once you have a model, you need to validate it. This involves comparing it to a validation sample. To get this sample, the original sample ... Read More

Feed: R-bloggers. Author: Edwin Thoen. [This article was first published on That’s so Random, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Two years ago, I wrote about meta-learning to fight imposter feelings. In this blog I made a distinction between impostering because you don’t feel you are up to the job, and because you feel you ought to know something which you don’t. The meta-learning blog focuses on how you define yourself ... Read More