Explained

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...

Data Visualization Explained: What It Is and Why It Matters

attract all of the hype today inside data science, but I’d argue they’re each secondary to a more vital—and often-ignored—section of the sector. When coping with data, there are two essential steps: Processing and analyzing...

The SyncNet Research Paper, Clearly Explained

Introduction Ever watched a badly dubbed movie where the lips don’t match the words? Or been on a video call where someone’s mouth moves out of sync with their voice? These sync issues are greater...

RAG Explained: Understanding Embeddings, Similarity, and Retrieval

, I walked through constructing an easy RAG pipeline using OpenAI’s API, LangChain, and native files, in addition to effectively chunking large text files. These posts cover the fundamentals of organising a RAG pipeline...

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