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Comparing Deep Learning Frameworks: A Rosetta Stone Approach
By Dan Clark, KDnuggets on March 26, 2018 in Caffe, CNTK, Deep Learning, GPU, Keras, Microsoft, MXNet, PyTorch, TensorFlowA Rosetta Stone of deep-learning frameworks has been created to allow data-scientists to easily leverage their expertise from one framework to another.
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 5 Things You Need to Know about Sentiment Analysis and Classification
We take a look at the important things you need to know about sentiment analysis, including social media, classification, evaluation metrics and how to visualise the results.
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8 Common Pitfalls That Can Ruin Your Prediction
A good prediction can help your work and make it easier. But how can you be sure that your prediction is good? Here are some common pitfalls that you should avoid.
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Ranking Popular Distributed Computing Packages for Data Science
We examined 140 frameworks and distributed programing packages and came up with a list of top 20 distributed computing packages useful for Data Science, based on a combination of Github, Stack Overflow, and Google results.
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Creating a simple text classifier using Google CoLaboratory
Google CoLaboratory is Google’s latest contribution to AI, wherein users can code in Python using a Chrome browser in a Jupyter-like environment. In this article I have shared a method, and code, to create a simple binary text classifier using Scikit Learn within Google CoLaboratory environment.
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Predictive and Preventive Maintenance
Analytics is becoming important part of maintenance, with applications to analyzing part failures, using failure distributions to simulate product life, and determining the root cause of failures. We provide an overview of predictive maintenance, its usage and key issues to be considered.
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Hierarchical Classification – a useful approach for predicting thousands of possible categories
A detailed look at the flat and hierarchical classification approach to dealing with multi-class classification problems.
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Blockchains and APIs
Major technological advances are providing opportunities for new business models, based on blockchain, which will see an increase in the number of connected devices in our day-to-day lives.
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5 Things You Need to Know about Sentiment Analysis and Classification