Explained

RoPE, Clearly Explained

There are many good resources explaining the transformer architecture online, but Rotary Position Embedding (RoPE) is commonly poorly explained or skipped entirely. RoPE was first introduced within the paper RoFormer: Enhanced Transformer with Rotary Position...

Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI — Clearly Explained

. Machine Learning and Deep Learning are mentioned just as often. And now, Generative AI seems to dominate nearly every technology conversation. For a lot of professionals outside the AI field, this vocabulary will be confusing....

Data Visualization Explained (Part 5): Visualizing Time-Series Data in Python (Matplotlib, Plotly, and Altair)

It’s time to begin constructing your personal data visualizations. In this text, I'll walk through the strategy of visualizing time-series data in Python intimately. If you might have not read the previous articles in...

The Three Ages of Data Science: When to Use Traditional Machine Learning, Deep Learning, or an LLM (Explained with One Example)

of the universe (made by one of the vital iconic singers ever) says this: Wish I could returnAnd alter these yearsI’m going through changesBlack sabbath – Changes This song is incredibly powerful and talks about...

The Pearson Correlation Coefficient, Explained Simply

construct a regression model, which implies fitting a straight line on the information to predict future values, we first visualize our data to get an idea of the way it looks and to...

Data Visualization Explained (Part 4): A Review of Python Essentials

Up so far in my data visualization series, I even have covered the foundational elements of visualization design. These principles are essential to grasp before actually designing and constructing visualizations, as they make sure...

Data Visualization Explained (Part 3): The Role of Color

” .” do you see in the image below? Most individuals see 4: white, green, and two different shades of pinkish-red. In point of fact, those two shades are the exact same; there are only...

Beyond ROC-AUC and KS: The Gini Coefficient, Explained Simply

discussed about classification metrics like ROC-AUC and Kolmogorov-Smirnov (KS) Statistic in previous blogs. On this blog, we are going to explore one other vital classification metric called the Gini Coefficient. Why do we've multiple classification...

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