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Co-relation does not equal causation – is a mantra drilled into a Data Scientist from an early age
That’s fine ..
But very few talk of the follow-on question ..
How exactly do you determine causation?
This problem is…Continue
Earlier this year, Google announced TensorFlow 2.0, it is a major leap from the existing TensorFlow 1.0. The key differences are as follows:
Ease of use: Many old libraries (example tf.contrib) were removed, and some consolidated. For example, in TensorFlow1.x the model could be made using Contrib, layers, Keras or estimators, so many options for the same task confused many new users.…Continue
The explanation of Logistic Regression as a Generalized Linear Model and use as a classifier is often confusing.
In this article, I try to explain this idea from first principles. This blog is part of my forthcoming book on the Mathematical foundations of Data Science. If you are interested in knowing more, please follow me on linkedin Ajit Jaokar
We take the following approach: