Machine Learning

Bringing Machine Learning to Big Iron

In today’s data driven economies there is evermore pressure to drive financial returns and payback for IT investments, increasing the need for IT organizations to deliver both analytics and digital transformation with practical and meaningful business outcomes.

The need for instant services has increased exponentially due to ’consumer driven’ services such as Application Stores, Digital Music, Social Media, E-commerce, FinTech and even IoT. This consumerization of technology drives innovation within the enterprise to reach user expectations but the challenge, as always, is doing this in a highly available and secure manner.

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A guide to machine learning

Machine learning (the subfield of computer science that, according to Arthur Samuel, “gives computers the ability to learn without being explicitly programmed”) is one of the most innovative and interesting fields of modern science around today. Something that you probably associate with things such as Watson, Deep Blue, and even the infamous Netflix algorithm. However, as sparkly as it is, machine learning isn’t exactly something totally new. In fact, the concept and science of machine learning has been around for much longer than you think.

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