Voice Technology: What It Means for Digital Marketers

As the field of Digital Marketing is constantly evolving, emerging technologies can have a powerful impact on the industry. Voice technology seems poised to become the next great disruptor, but there’s still a lot of discussion around how Voice technology will affect the various Digital Marketing platforms and to what extent.

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3 Ways Big Data Is Bringing SEO Out of The Stone Age

Anybody that was online in the 1990s knows how different search engines are in the field of SEO. Big data has drastically improved the functionality of search engines.
Big data has had a two-pronged effect on the search engine industry. AJ Agrawal, the CEO of Alumnify has talked about this in his article on Inc.

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Leaders, Are You Using Personality Data to Your Advantage?

A continually growing field, there are many practical applications for artificial intelligence in today’s business economy. From personalized advertising and product recommendations to fraud detection and revenue prediction, businesses have tons of data at their disposal which can provide extremely valuable insights for making better business decisions.

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Scala and Pyspark specialization certification courses started

 
Scala & Spark Specialization 
Data science is a promising field, Where you have to continuously update your skill set by learning the new technique, algorithms, and newly created tools. As the learning journey never ends, we would always seek to find the best resources to start learning these new skill sets.

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Interview of Jerome Berthier, Head of BI and Big Data at ELCA

Data Mining Research (DMR): Can you tell us who you are and how you came to the field of Data Science?
Jerome Berthier (JB): My name is Jerome Berthier, I am an engineer in Computer Science and I have an MBA in management. After 10 years working in different roles for an IT provider (developer, sales representative, managing director), I joined ELCA in 2012 to head the BI division.

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14 Different Types of Learning in Machine Learning

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Machine learning is a large field of study that overlaps with and inherits ideas from many related fields such as artificial intelligence.
The focus of the field is learning, that is, acquiring skills or knowledge from experience. Most commonly, this means synthesizing useful concepts from historical data.

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Model Interpretability: The Conversation Continues

This Domino Data Science Field Note covers a proposed definition of interpretability and distilled overview of the PDR framework. Insights are drawn from Bin Yu, W. James Murdoch, Chandan Singh, Karl Kumber, and Reza Abbasi-Asi’s recent paper, “Definitions, methods, and applications in interpretable machine learning”.

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Chasing Fermat’s Last Theorem

Fermat’s Last Theorem is one of the most celebrated problems in mathematics. It is a problem in the field of Number Theory that’s very simple to understand, yet extremely difficult to solve. In fact, it’s so difficult that it remained unsolved for 358 years even though it got a lot of attention from some of the best mathematicians in history. Pierre de Fermat first came up with it in 1637.

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