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Machine Learning

Machine learning is Big Data being used at its most extreme level, processing vast and disparate data sets at a machine level to find patterns buried within, producing insights beyond human recognition.

Artificial IntelligenceData NativesMachine Learning

DNX-India17 Promo Code (for 20% off on all tickets): KJS20  Valid until October 20th  It’s already less than two weeks until the Data Natives X India conference commences in amazing Mumbai! With the event just around the corner and so many incredible speakers to see, we took the time to talk with one

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Machine LearningTechnology & IT

A breakthrough in the field of natural language processing (NLP) has been achieved with the Cortical.io Retina engine, which elegantly solves numerous text-data processing problems faced by big businesses. The Retina engine surmounts the obstacles in dealing with terabytes of unstructured text data, thanks to a unique algorithm that is

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Data ScienceMachine Learning

Business dynamics are evolving with every passing second. There is no doubt that the competition in today’s business world is much more intense than it was a decade ago. Companies are fighting to hold on to any advantages. Digitalization and the introduction of machine learning into day-to-day business processes have

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Artificial IntelligenceMachine LearningTech Trends

Technologies in the field of data science are progressing at an exponential rate. The introduction of Machine Learning has revolutionized the world of data science by enabling computers to classify and comprehend large data sets. Another important innovation which has changed the paradigm of the world of the tech world

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Machine Learning
Data ScienceMachine Learning

In 2016, Google’s net worth was reported to be $336 billion, and this is largely due to the advanced learning algorithms the company employs. Google was the first company to realize the importance of incorporating machine learning in business processes. And the technology powerhouse doesn’t stop at any given point; it keeps

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Data ScienceMachine Learning

As happens when boundless potential meets hard reality, enterprises now face a long, painful slog through the trenches of disillusionment and disappointment as they pursue the business transformation promised by Machine Learning for the Enterprise. The machine learning hype cycle is in overdrive, inflating expectations for magically easy and automated solutions to complex business problems decades

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Artificial Intelligence Careers
Artificial IntelligenceData ScienceMachine Learning

A long time ago, in January 2006, Business Week published an article entitled ‘Math Will Rock Your World” declaring, “There has never been a better time to be a mathematician.” The fact is that although this article is almost 15 years old, the article reinforces a consistently valid case for

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Data ScienceData Science 101Machine Learning

This article is part of a media partnership with PyData Berlin, a group helping support open-source data science libraries and tools. To learn more about this topic, please consider attending our fourth annual PyData Berlin conference on June 30-July 2, 2017. Miroslav Batchkarov and other experts will be giving talks

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Deep Learning
Artificial IntelligenceData ScienceMachine Learning

Deep learning is a subfield of machine learning and it comprises several approaches to tackling the single most important goal of AI research: allowing computers to model our world well enough to exhibit something like what we humans call intelligence. On a basic conceptual level, deep learning approaches share a

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Machine Learning
Data ScienceMachine Learning

Whilst most businesses don’t earn revenue by processing data, they do spend a large amount of their hard earned revenue in manually processing data, validating it and ultimately performing manual tasks that don’t scale. But at what point does this manual involvement become a burden of cost upon your business?

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