Tag: Anaconda

Feed: Featured Blog Posts - Data Science Central. Author: Richard Charles, PhD. My first computer was a Commodore Vic-20 in 1981. I bought the device because of this incredible urge to program in BASIC as a result of Mr. Ted Becker’s course on computer programming. I vaguely remember the leap from the pain-staking process of programming using punch cards to writing code and watching your program run immediately, once you resolved all of the syntax errors of course. Nonetheless, it was thrilling and addictive! In hindsight, a part of that addiction was a result of being able to code these ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Divya Singh. Data Science, Machine Learning, Deep Learning, and Artificial Intelligence are some of the most heard about buzzwords in the modern analytical eco-space. The exponential growth of technology in this regard has simplified our lives and made us more machine dependent. The astonishing hype surrounding such technologies has prompted professionals from various disciples to hop on to the ship and consider analytics as their career option. To master Data Science or Artificial Intelligence in that regard, one needs a myriad of skills which includes Programming, Mathematics, Statistics, Probability, Machine Learning, ... Read More

Feed: R-bloggers. Author: ntguardian. Dave’s Donuts offers 14 flavors of donuts (consider the supply of each flavor as being unlimited). The “grab bag” box consists of flavors randomly selected to be in the box, each flavor equally likely for each one of the dozen donuts. What is the probability that at most three flavors are in the grab bag box of a dozen? For this we will need the multinomial distribution, which is a discrete probability distribution. In a string of characters there are characters possible to fill one position of the string, which is characters long. Therandom variable counts ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Divya Singh. The Next Generation of Data Science Quite literally, I am stunned. I have just completed my survey of data (from articles, blogs, white papers, university websites, curated tech websites, and research papers all available online) about predictive analytics. And I have a reason to believe that we are standing on the brink of a revolution that will transform everything we know about data science and predictive analytics. But before we go there, you need to know: why the hype about predictive analytics? What is predictive analytics? Let’s cover that first.  Importance of ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: steve miller. In my many years as a data scientist, I've spent more time doing forecast work than any other type of predictive modeling. Often as not, the challenges have involved forecasting demand for an organization's many products/lines of business a year or more out based on five or more years of actual data, generally of daily granularity. A difficult task indeed and one for which accuracy expectations by the business are seldom met. One thing I've learned about forecasting is not to be a slave to any modeling technique, choosing ... Read More

Feed: Feed | Tractica. Author: . Enterprises have been using analytical machine learning (ML) techniques for years to solve business problems related to making predictions on raw data. Today, perception-based techniques driven by deep learning and neural networks are gaining traction around understanding vision and language, both of which have applications within enterprise settings. When people speak of enterprise artificial intelligence (AI), it is quite common to treat it as a generic term or one large entity without being specific about what technology is being used. This can lead to misunderstandings around what AI can and cannot do, the software ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: steve miller.   A little less than a year ago, I posted a blog on generating multivariate frequencies with the Python Pandas data management library, at the same time showcasing Python/R graphics interoperability. For my data science work, the ability to produce multidimensional frequency counts quickly is sine qua non for subsequent data analysis. Pandas provides a method, value_counts(), for computing frequencies of a single dataframe attribute. By default, value_counts excludes missing (NaN) values, though they're included with the dropna=False option. As noted in that blog, however, the multivariate case is more problematic. "Alas, value_counts() ... Read More

Feed: Databasejournal.com - Feature Database Articles. Author: . Artificial Intelligence in IT Today Many IT departments have implemented software solutions that go beyond simple transaction and analytical processing. These packages contain models that describe certain data behaviors, and these models consume current data to see if these patterns of data behavior exist. If so, operational systems can use this information to make decisions. A good example of this is fraud detection. IT data engineers use analytics on historical data to determine when fraud occurred, code this into a model, and deploy the model as a service. Then, any operational system ... Read More

Feed: Planet MySQL; Author: HowToForge; This tutorial shows the installation of ISPConfig 3.1 on a CentOS 7.6 (64Bit) server. ISPConfig is a web hosting control panel that allows you to configure the following services through a web browser: Apache web server, PHP 7.2, Postfix mail server, MySQL, BIND nameserver, PureFTPd, SpamAssassin, ClamAV, Mailman, and many more. 1 Requirements To install such a system you will need the following: A Centos 7.6 minimal server system. This can be a server installed from scratch as described in our Centos 7 minimal server tutorial or a virtual-server or root-server from a hosting company that ... Read More

Feed: The Information Lab. Author: Alexander Fridriksson. 9 April, 2019 | Alex Fridriksson How to set up TabPy in Tableau 1. Install Python on your machine (or server) A popular and easy way of doing it would be to through downloading and installing Anaconda. 2. Download TabPy server Now we need to get the TabPy module. You can do this by downloading it through GitHub or by opening up Anaconda prompt on your machine and typing: conda install -c anaconda tabpy-server then hitting enter. You then type y and hit enter when it asks if you want to proceed. Here is ... Read More