Digitization has changed the way we process and analyze information. There is an exponential increase in online availability of information. From web pages to emails, sci...
In this series, I will talk about training a simple neural network on image data. To give a brief overview, neural networks is a kind of supervised learning. By this I me...
According to IDG, 35% of companies with effective data grow faster year-on-year, however, many still take little notice of data quality or ongoing data management, p...
This is a new series, featuring great content from our top contributors. Some of these articles are rather technical in nature, but many are business-oriented and written...
In this script, we will explore the open roles at Google, and try to see what common attributes Google is looking for, in future employees. This dataset contains text i...
There is no doubt that SQL is the most widely-used working language for processing structured data. Not only is the language adopted by all relational database products, ...
This article was posted by Dikesh Jariwala on R Bloggers. With ever increasing volume of data, it is impossible to tell stories without visualizations. Data visualizati...
Most organizations’ IOT Strategy look like a game of ‘Twister’ with progress across important IOT capabilities such as architecture, technology, data, a...
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, c...
In earlier posts, we learned about classic convolutional neural network (CNN) architectures (LeNet-5, AlexNet, VGG16, and ResNets). We created all the models from scratch...