Lost In A Dense Forest: Intuition On Sparsity In Machine Learning With Simple Code!

Lost In A Dense Forest: Intuition On Sparsity In Machine Learning With Simple Code!

Lost In A Dense Forest: Intuition On Sparsity In Machine Learning With Simple Code! Why sparsity is required for ML? Understanding the core concepts of sparsity.

Take a look at this beautiful forest! Now, imagine you were given an opportunity to perform data analysis on this gorgeous forest.

The task at hand would be to find out what is the population of pandas in every area in the forest location to that of the trees. After successfully performing the analysis, you realize that the density of the trees is much more compared to the panda’s species.

After converting it into a matrix form, you get an image that looks something along the lines from the figure shown below:

Image for post

Spare Matrix By Author. Images from freepik.com

Here, we can notice that there are a few cute pandas scattered, but the density of the matrix is mostly comprised of trees. Let us assume that the value of trees = ‘0’ and the value of panda = any non-zero value say ‘1’. This image would then form a matrix comprised of zero’s and one’s. This means that the entire matrix density would comprise mostly of 0’s and very *few *1’s.

This type of matrix, which consists of mostly 0’s and less of non-zero numbers, is called a sparse matrix.

We encounter a lot of sparsity in both machine learning and deep learning. They occur a lot in data counts, word encodings, and mostly in the field of natural language processing in vectorizing words with concepts such as the bag of words, tf-idf, word2vec, etc.

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Data Science Projects | Data Science | Machine Learning | Python

Practice your skills in Data Science with Python, by learning and then trying all these hands-on, interactive projects, that I have posted for you.

Data Science Projects | Data Science | Machine Learning | Python

Practice your skills in Data Science with Python, by learning and then trying all these hands-on, interactive projects, that I have posted for you.

Data Science Projects | Data Science | Machine Learning | Python

Practice your skills in Data Science with Python, by learning and then trying all these hands-on, interactive projects, that I have posted for you.