A Standard to build Knowledge Graphs: 12 Facts about SKOS
These days, many organisations have begun to develop their own knowledge graphs. One reason might be to build a solid basis for various machine learning and cognitive com...
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Why Cognitive Systems should combine Machine Learning with Semantic Technologies
Will Artificial Intelligence make subject matter experts obsolete? Imagine you want to build an application that helps to identify wine and cheese pairings. Who will perf...
The Triple-layered Reporting Architecture
By JIANG Buxing In conventional reporting architecture, a reporting tool is connected directly to data sources, without a data computing layer in between. Most of the t...
Machine Learning – The brain of Digital Transformation
We are all familiar with machine learning in our everyday lives. Both Amazon and Netflix use machine learning to learn our preferences and provide a better shopping and m...
Machine Learning – The brain of Digital Transformation
We are all familiar with machine learning in our everyday lives. Both Amazon and Netflix use machine learning to learn our preferences and provide a better shopping and m...
HDFS vs. HBase : All you need to know
The sudden increase in the volume of data from the order of gigabytes to zettabytes has created the need for a more organized file system for storage and processing of da...
Time series classification with Tensorflow
Time-series data arise in many fields including finance, signal processing, speech recognition and medicine. A standard approach to time-series problems usually requires ...
Why Deep Learning is Taking off? Season 1 : Part 1
First it was Machine Learning, and now all of a sudden Deep Learning is taking all the thunder even from Machine Learning. So what’s the difference, and why all of ...
Generative Adversarial Networks (GANs): Engine and Applications
Generative adversarial networks (GANs) are a class of neural networks that are used in unsupervised machine learning. They help to solve such tasks as image generation fr...
Neural Network Algorithms – Learn How To Train ANN
Top Neural Network Algorithms Learning of neural network takes place on the basis of a sample of the population under study. During the course of learning, compare the v...