Using Multi-Layer Recurrent Neural Network for language models
Here is another example of how to use Multi-Layer Recurrent Neural Network (RNN package) designed for character-level language models. This neural network was trained usi...
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Soft Skills Every Data Scientist Must Possess
It is very easy to assume that Data Scientists are highly technical people. Ones who invest all their intellect into interpreting data, concluding smart insights, and off...
Programming Languages for Data Science and ML – With Source Code Illustrations
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, ...
How to setup a Data Science function for your organisation
This article will provide a high level understanding of effective ways to set up a data science function in 3 types of organisations: (1) Startups, (2) Medium Size Orga...
Comparison of the Top Cloud APIs for Computer Vision
What is computer vision? Nowadays, computer vision (CV) is one of the most widely used dimensions of machine learning. The main task of computer vision is to understand t...
Statistical Tests - When to use Which ?
For a person being from a non-statistical background the most confusing aspect of statistics, are always the fundamental statistical tests, and when to use which. This bl...
Learn How to Code and Deploy Machine Learning Models on Spark Structured Streaming
This post is a token of appreciation for the amazing open source community of Data Science, to which I owe a lot of what I have learned. For last few months, I have been ...
General Myths to avoid in Data Science and Machine Learning
What is Machine Learning, Data Science or Artificial Intelligence? is one of the most common questions which I have faced from people. Be it newcomers, recruiters or even...
AI intervenes to bring down suicide rates
While a reliable method to accurately identify suicidal patients is missing from medical literature, researchers are continually striving for AI-solutions to predict and...
Neural Networks from a Bayesian Perspective
Understanding what a model doesn’t know is important both from the practitioner’s perspective and for the end users of many different machine learning applications. I...