“Mahout” is a Hindi term for a person who rides an elephant. The elephant, in this case, is Hadoop — and Mahout is one of the many projects that can sit on top of Hadoop, although you do not always ...

Applying machine learning to Big Data in Hadoop is something all organizations want to do well but few actually achieve. For most, this means grabbing data, analyzing it, creating a model and using it ...

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Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Amilcar has 10 years of FinTech, blockchain, ...

When you start a revolution, you need to go public before the next revolution starts. Hadoop used to be the “revolutionary” technology behind the “big data” revolution but it has now been buried deep ...

There’s been a lot said about the need to move Hadoop away from the batch paradigm and remake it as a real-time system. But how will that work when it comes to the heavy-duty machine learning models ...

There are so many amazing ways artificial intelligence and machine learning are used behind the scenes to impact our everyday lives and inform business decisions and optimize operations for some of ...

In the run up to next week’s Hadoop confab in Silicon Valley, vendors are releasing a flock of automation and other tools aimed at beefing up the mainstream data processing framework. Among them is an ...

As the data world undergoes its Cambrian explosion phase, our data tools need to become more advanced to keep pace. Deep Learning has emerged as a key tool in the non-linear arms race of machine ...

Machine learning is so pervasive that we can often assume its presence in big data applications without having to specifically call it out. About a year ago, I blogged about the “hardcore” big data ...