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Business intelligence data mining News
May 23, 2017
Hiring a data scientist is hard enough given the shortage of candidates, but the subtle mix of skills required by the job can make hiring one even harder.
May 18, 2017
Deep learning may share some characteristics of traditional machine learning, but experienced users say it's really in a class by itself when it comes to model design and output.
March 08, 2017
Data scientists at companies such as LinkedIn and Cisco are applying aspects of the scientific method to data mining and analysis initiatives to try to make sure they get valid results.
February 28, 2017
Data science teams face a mix of process and cultural challenges in organizations, according to experienced analytics managers who offer advice on how to overcome the hurdles.
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Machine learning tools are becoming a more common component of advanced analytics applications, especially in big data environments. But they have to be focused on real business issues. Continue Reading
Creating a successful data science program enables you to look deeper into your organization's data for analytics uses. Take this quiz to see how much you know about the data science process. Continue Reading
Data mining may not be on the tip of people's tongues in these data science days, but advanced analytics applications won't get far without effective techniques for mining data. Continue Reading
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Consultant David Loshin explains some widely used data analytics and machine learning techniques and details how the associated automated algorithms work. Continue Reading
Watson Analytics is a strong player in a formidable field that includes Google and Adobe. It does perform as advertised -- but IBM's AI-driven analytics technology leaves a lot to be desired. Continue Reading
IT and analytics managers discuss the biggest challenges of machine learning applications, with data preparation and development of algorithm-driven analytical models sharing top billing. Continue Reading
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Experienced users of machine learning tools share how their organizations are using the technology to solve a variety of analytics problems in their businesses and for customers. Continue Reading
In this episode of the Talking Data podcast, find out how data science teams at Cisco and LinkedIn navigate the process of doing advanced analytics work in an accessible way. Continue Reading
Deploying and using predictive modeling tools without heeding best practices doesn't guarantee analytics success, a fact that many analytics managers and election forecasters know all too well. Continue Reading
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Big data environments based on technologies such as Hadoop and Spark are being deployed more widely -- and the same goes for advanced analytics tools that can help organizations make effective use of the data flooding into those systems. In fact, ... Continue Reading
Many modern consumers and workers are always tuned-in to the digital world. They have laptops, tablets and smartphones that chirp and beep away with incoming messages. Those devices are also sending out information -- tweets and texts, yes -- but ... Continue Reading
The piles of data gathered from business intelligence and analytics tools is of little use to BI, data management and IT teams if they don't have a good way to visualize the data. To put data to effective use, IT teams need to construct an ... Continue Reading