Another Dev's Two Cents

Another Dev's Two Cents

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Latest — Dec 8, 2024

On Ghost Engineers And Proof or a Lack thereof

I've been watching the media landscape evolve in real time and I feel compelled to share my opinion. I'm not a researcher or journalist, but I have been in Engineering for a long time. I don't intend for this to be an attack on

More issues

Reinstalling NVIDIA drivers on Zorin OS

I've run into this issue twice now while using Zorin OS so it made sense to leave notes on resolving them as well as links to resources. The root issue appears to be instability with driver updates. Given that my use case is primarily machine learning, having a

RAG is not just text

Retrieval Augmented Generation (RAG) is a common pattern in AI-powered apps that allows a model to generate completions using context data that might not have been available during training. It's beneficial when working with large language models because it helps the model make inferences on private data such

Model Collapse is an Information Degredation Problem

Model collapse has been all over the news lately citing a paper[1] that was recently published in Nature. The paper focuses on the effects of model collapse which is a phenomenon where a model trained on recursively generated data fails progressively and gets worse over time. "We find

Statistics For Programmers - Naive Bayes Classifier

Putting together everything we've learned thus far, let's build a Naive Bayes Classifier. It is a simple probabilistic classifier that applyies Bayes' theorem. It's a popular choice for text classification problems because of its simplicity and efficiency however it does assume some independence

Statistics For Programmers - Bayes Theorem

Bayes Theorem is a fundamental concept in statistics and probability theory. It provides a way to update the probability of a hypothesis based on new evidence or information. It's particularly useful in situations where have some knowledge about the efficacy of a test or the prevalence of a

Statistics For Programmers - Conditional Probability

The conditional probability of an event is the probability of an event occuring given that another event has occured. The It is denoted as \(P(B|A)\) and is read as "the probability of B given A". That is the probability of event B occuring knowing that event

Statistics For Programmers - Bonus Content: Expressing a Taylor Polynomial in Code

A Taylor polynomial is generally used when approximating functions. They are especially useful when the true or exact form of the function is complex or difficult to work with. By expressing a function as a Taylor series, it's possible to simplify calculations and gain insights into its behavior,

Statistics For Programmers - Introduction to Probability

Probability, in the realm of statistics, is a measure of the likelihood that a specific event will occur. It provides us with a way to quantify uncertainty. We see and characterize this in our everyday lives. For example, when we say that there is a 70% chance of rain, or

Statistics for Programmers - Measures of Dispersion

Measures of central tendencies like the Mean, Median and Mode summarize the data into a single value. However, they also lose a lot of information. For example if I tell you that the average salary of a given sample of workers $100,000, you might think that most workers make