By Medium -
2021-02-01
Exploring the advantages and pitfalls of 9 common distance measures used in Machine Learning applications.
By Medium -
2020-12-03
Document similarities is one of the most crucial problems of NLP. Finding similarity across documents is used in several domains such as recommending similar books and articles, identifying…
By Medium -
2020-12-24
I wanted to try using machine learning to do a backyard experiment around analyzing running stride. I put together a setup with only my phone, a tripod, treadmill, my laptop, and a fast runner. My…
By Medium -
2021-03-14
In the first part of this article, I provided an introduction to hierarchical time series forecasting, described different types of hierarchical structures, and went over the most popular approaches…
By Medium -
2021-03-03
While new technologies have changed almost every aspect of our lives, the construction field seems to be struggling to catch up. Currently, the structural condition of a building is still…
By Medium -
2021-02-04
When we start learning how to build deep neural networks with Keras, the first method we use to input data is simply loading it into NumPy arrays. At some point, especially when working with images…
