As the need for advanced analytics increases in organizations, enterprises large and small struggle to find and sustain the professional resources they need to meet their requirements for data, analysis and strategic direction.
In some businesses, Data Scientists, professional analysts and IT staff are often buried under requests for analysis and data and, as a result, these teams are unable to focus on strategic issues and on crucial questions that require 100%…Continue
Added by Kartik Patel on March 12, 2019 at 2:00am — No Comments
Added by Ridhima Kumar on October 23, 2018 at 11:00am — No Comments
More organizations are adopting data-driven and technology-focused approaches to business and hence the need for analytics expertise continues to grow. As a result, career opportunities in analytics are around every corner. Due to this identifying analytics talent has become a priority for companies in nearly every industry, from healthcare, finance, and telecommunications to retail, energy, and sports.
In this blog, we will be talking about different career paths and option in the…Continue
Added by Divya Singh on October 17, 2018 at 6:30am — No Comments
Technology changes on the daily basis transforming the rules like never before. Something that looked modern and fresh yesterday can appear dated seemingly overnight, and trends once dismissed as irrevocably passé can unexpectedly cycle back in vogue.
Over the past few years, AI, Big Data, and such disruptive technologies have succeeded in transforming many industries already but a notable and a positive change noticeable is in the travel sector. Maybe because travel industries…Continue
Added by Nishtha Singh on August 13, 2018 at 3:04am — No Comments
Stochastic Signal Analysis is a field of science concerned with the processing, modification and analysis of (stochastic) signals.
Anyone with a background in Physics or Engineering knows to some degree about signal analysis techniques, what these technique are and how they can be used to analyze, model and classify signals.
Data Scientists coming from a different fields, like Computer Science or Statistics, might not be aware of the analytical power these techniques bring with…Continue
Added by Ahmet Taspinar on April 12, 2018 at 6:00am — No Comments
Cluster.OBeu v1.2.1 release on CRAN
We are very pleased to announce Cluster.OBeu v1.2.1 on CRAN!Continue
Added by Kleanthis Koupidis on March 12, 2018 at 4:00am — No Comments
I believe in the potential of analyzing public data, so I conducted an analysis of the data on rapes and thefts registered in the 93 Police Stations (PSs) of the city of São Paulo. The balls in the maps below represent the location of the PSs, and the size is proportional to the amount of occurrence recorded in the PS. The first figure shows the distribution of rapes. Since July 2001, offenses have been transferred to the closest PS to the crime scene, even if the incident report is…Continue
Added by Thiago Buselato Maurício on February 25, 2018 at 5:29pm — No Comments
Each year, Risk Quant Europe Conference, a conference well-attended by practitioners from banking, asset management, insurers as well as academics from Europe, selects two papers to present in their annual conference.
For 2018, our paper is lucky to be one of the two winning papers selected by the Advisory Board for the conference to be held in London. Please feel free to check out our paper titled CDS Rate Construction Methods by Machine Learning…Continue
Added by Zhongmin Luo on February 24, 2018 at 2:00am — No Comments
Today I'm writing this post to explain how it's possible to make geographic analysis and answer questions like: which is the richest area in my city? How many people do live in one neighborhood?
You can do it combining shape files with an excel spreadsheet, let's understand it together...
First of all, we need to install one Geographic Information System (GIS), and I recommend QGIS - free and open source GIS
Added by Thiago Buselato Maurício on February 11, 2018 at 9:30am — No Comments
This paper enlightens the way companies can design Intelligent System to understand their customers’ sentiments better to improve their experience, which will help the businesses change their market position.
Sentiment analysis is widely acknowledged in the web and social media monitoring. It allows businesses to gain a comprehensive public opinion on the organization and its services. The ability to deduce insights from the text and emoticons from social media is a…Continue
Added by Valiance Solutions on December 20, 2017 at 1:30am — No Comments
Performance management can be viewed as a systematic process that enables organizations to improve the productivity of employees in a team framework. The approach is implemented by defining roles within specific competence parameters, laying out expectations and establishing realistic goals.…Continue
Added by Jay Taylor on November 14, 2017 at 1:00pm — No Comments
Missing data present significant challenges to trend analysis of time series. Straightforward approaches consisting of supplementing missing data with constant or zero values or with linear trends can severely degrade the quality of the trend analysis, which significantly reduces the reliability of the trend analysis. …Continue
Added by Ted on October 31, 2017 at 7:30pm — No Comments
In this rapidly changing world of technology, chatbots market is projected to show major growth prospects during the forecast period. The growing need to maintain a healthy customer relationship management is a major factor driving the growth of chatbots market. Chatbots enables companies to engage in continuous communication with their customers which results in improvement of customer relationship management, which is the ultimate goal of any…Continue
Added by Sagar kadam on August 23, 2017 at 1:30am — No Comments
Added by Sandipan Dey on July 31, 2017 at 4:00am — No Comments
Data collection is at record levels. Social media platforms, websites, and smartphones are just some examples of what most consumers use on a daily basis and are where significant data collection takes place. This infographic takes a look at the ethics of big-data collection.
Added by Jay Taylor on July 25, 2017 at 8:00am — No Comments
Does it sound familiar to you? In order to get an idea of how to choose a parameter for a given classifier, you have to cross reference to a number of papers or books, which often turn out to present competing arguments for or against a certain parameterization choice but with few applications to real-world problems.
For example, you may find a few papers discussing optimal selection of K in…Continue
Cross Validation is often used as a tool for model selection across classifiers. As discussed in detail in the following paper https://ssrn.com/abstract=2967184, Cross Validation is typically performed in the following steps:
Added by Zhongmin Luo on June 2, 2017 at 7:00pm — No Comments
In practice, we often have to make parameterization choices for a given classifier in order to achieve optimal classification performances; just to name a few examples:
Added by Zhongmin Luo on May 29, 2017 at 12:49am — No Comments
To be successful in business, every organization must find a way to accurately forecast and predict the future of its market, and its internal operations, and better understand the buying behavior of its customers and prospects. To accurately predict and plan, every enterprise must select a business intelligence solution that will support their efforts and provide business…Continue
Added by Arbuda Dave on May 24, 2017 at 2:30am — No Comments
Past literature show that the comparisons of classifier's performance are specific to the types of datasets (e.g., Pharmaceutical industry data) used; i.e., some classifiers may perform better in some context than others. A paper titled CDS Rate Construction Methods by Machine Learning Techniques conducts the performance comparison exclusively in the context of financial market by applying a wide range of classifiers to provide solution to so-called Shortage of…Continue
Added by Zhongmin Luo on May 23, 2017 at 1:30am — No Comments