Companies are scrambling to find enough programmers capable of coding for ML and deep learning. Are you ready? Here are five of our top picks for machine learning libraries for Java.
It’s been one year since Yahoo open-sourced CaffeOnSpark so the tech giant has found a way to celebrate it — by open-sourcing TensorFlowOnSpark, its latest open source framework for distributed deep learning on big data clusters.
Machine learning experts are in high demand right now. As tech giants rely heavily on machine learning and AI these days, it comes as no surprise that their ML hiring spree has intensified. If you want to jump on the ML bandwagon, you’ll need the right tools.
Hillary Clinton’s 18-month campaign as the Democrat candidate for the presidency of the United States has been famously and resoundingly data-driven. A war room of senior analysts, mathematicians and researchers monitored, tracked and calculated every significant movement of her campaign, adjusting strategy to shift focus to different geo-political demographics. The polls gave affirmation that she was on track to win until the final hours of the campaign, but ultimately the pollsters failed to forecast the US election result correctly. A loss not just for Clinton and the Democrats, but for all those who are proponents of the value of data. Or so it is told.
Machine learning may sound futuristic, but it’s not. Speech recognition systems such as Cortana or Search in e-commerce systems have already shown us the benefits and challenges that go hand in hand with these systems. In our machine learning series we will introduce you to several tools that make all this possible. Next stop: MOA, an open source software specific for machine learning/data mining on data streams in real time.
Machine learning may sound futuristic, but its not. Speech recognition systems such as Cortana or Search in e-commerce systems have already showed us the benefits and challenges that go hand in hand with these systems. In our machine learning series we will introduce you to several tools that make all this possible. Next stop: Weka.
Machine learning may sound futuristic, but it is not. Speech recognition systems such as Cortana or Search in e-commerce systems have already showed us the benefits and challenges that go hand in hand with these systems. In our machine learning series we introduced you to several tools that make all this possible. Now it’s time to allow software developer Adam Geitgey to talk about the ABCs of machine learning and teach you how to make use of ML.
The amount of JavaScript being used on websites has tripled in the past three years. Machine learning is what web developers need to speed up their increasingly bulky applications, says product management VP Peter Blum.
The Hadoop vendor have made their first acquisition, bringing the one-year old London company (and its founder) into the fold.
The Cascading company reveal their plans following Marchs $4m investment and unsurprisingly, it centres around the application framework.
Version 0.3 of the Apache Mahout library is now available. Apache Mahout is a subproject of Apache Lucene and is […]
