Why is it a must-have?. “From Jupyter Notebooks to Real-life: MLOps” is published by Soner Yıldırım in Towards Data Science.
When people begin their Machine Learning journey, they often start with Linear Regression, one of the most simple algorithms out there. However, this model quickly shows its limitations, especially…
When I began speaking at conferences about the importance of analytics, I found that convincing an audience of its value was the easy part. The mood changed when I explained the catch: Analytics is…
Since I first dabbled with natural language processing, I have had a special place in my heart for information extraction (IE) pipelines. Information extraction (IE) pipelines extract structured data…
Anyone that speaks multiple languages understands that the rules of one language don’t necessarily apply to another; I’m a native English speaker, but I also speak Twi which is a dialect of the Akan…
In a recent group discussion, I found data scientists arguing over which machine learning framework is better: PyTorch or TensorFlow. What I found funny is that I’ve heard other versions of this…
One of the magical things you can do with Python and many other languages is decorating functions. Decorators can modify the function’s inputs, its output, and the very behavior of the function…
So, your predictive model is up and running. You have developed, tested and finally deployed it. When presenting it to your stakeholders, you mention the model achieved 75% precision and 25% recall…
Deep comparison of Matplotlib vs. Plotly in terms of seven key aspects. Learn which library is superior across all categories.
There are many different ways people transition into data science. If you don’t have a technical background, the programming part may seem daunting. My background isn’t in computer science. Before…
