Bayesian Machine Learning
Bayesian Machine Learning (part -7) Expectation-Maximization : A solved Example I have covered the theoretical part of EM algorithm in my previous posts. For reference be...
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Different kinds of loops in R.
Normally, it is better to avoid loops in R. But for highly individual tasks a vectorization is not always possible. Hence, a loop is needed – if the problem is decompos...
What is AI: explaining it from different dimensions
This article was written by Swami Chandrasekaran. Click on the picture below to zoom in. AI is a fascinating area and I personally feel it will not do justice to explai...
Object Detection using Deep Learning: Faster R-CNN,YOLO,SSD
This article was written by Ankit Sachan. In this post, I shall explain object detection and various algorithms like Faster R-CNN, YOLO, SSD. We shall start from beginn...
How do I prepare for Data Scientist interviews?
If you are a recent graduate or someone preparing for your first data scientist position, then here are some tips to help you ace your interview! Interview types: For cor...
Summarizing Economic Bulletin Documents with TF-IDF
A key strength of NLP (natural language processing) is being able to process large amounts of texts and then summarise them to extract meaningful insights. In this exampl...
Impact of IoT on Mobile App Development Industry
Innovation and advancement mean subtracting the obvious things and adding meaningful things. Technology is successfully on this path and is doing wonders. It is very obvi...
Enhancing Trading Models with AI
Dramatically improving currency trading models with AI using Keras Deep Learning and PivotBillions. As has become more and more apparent in this day and age, data is scal...
How to Lie with P-values
P-values are used in statistics and scientific publications, much less so in machine learning applications where re-sampling techniques are favored and easy to implement ...
Calculating exclusion limits for a new theory in hardcore science
In many fields of science, it is important to understand the relevance of new theories or hypotheses in a description of experimental data, assuming that such data are al...