Dec 11, 2025 · 6 min read · In Machine Learning, nothing is certain.When my model looks at a photo of a cat, it doesn't say "This is a Cat." It says: "I am 92% confident this is a cat, given the pointy ears and whiskers." To become a Machine Learning Engineer, I had to rewire m...
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Nov 17, 2025 · 9 min read · Background & Problem Statement Earlier this week, we were developing a random AST sampler for a toy language, which is a small subset of a folklore language, IMP. It has a really simple syntax: syntax AExp ::= Int | Id | AExp "/" AExp ...
Join discussionAug 27, 2025 · 2 min read · Hey everyone 👋 Dhairya here, On Day 6, I explored the basics of probability distributions (Bernoulli, Binomial, Normal, Uniform). Today, I took it a step further and studied how these distributions are applied in actual ML models and algorithms. 🔢...
Join discussionJun 25, 2025 · 4 min read · In the previous post, we looked at Softmax and NLL loss, both critical for output interpretation and learning in Transformers. Now let’s dive into what happens within the network: activation functions. Specifically, GELU. What is GeLU? GeLU, or, Gau...
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Oct 21, 2024 · 1 min read · One way to generalize the concept of entropy to continuous distributions is to introduce uncertainty when measuring a sample point from a continuous distribution. Without such measurement noise, a non-degenerate continuous distribution has infinite e...
Join discussionAug 14, 2024 · 2 min read · Hey there, data enthusiasts! Today, we're diving into the backbone of data analysis: mathematics. We'll explore why maths is crucial for data analysis and introduce three fundamental concepts: statistics, probability, and probability distribution fun...
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Jun 28, 2024 · 4 min read · Generative AI is a transformative field within artificial intelligence that focuses on creating models capable of generating new, synthetic data similar to real-world data. This post explores the foundational concepts, key models, applications, chall...
Join discussionFeb 17, 2024 · 23 min read · Before I start, let's have some motivation: "Great things happen to those who don't stop believing, trying, learning, and being grateful." Roy T. Bennett This is the second lesson of the Anomaly Detection lecture series. In this lesson, you going...
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Jul 12, 2023 · 5 min read · In the previous part, we covered The Normal Distribution and The Standard Normal Distribution Today we are gonna explore some more Continuous Distribution. Continuous Distribution: The Student’s T-Distribution👇 We use “t(k)” to define the student's ...
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Apr 11, 2023 · 7 min read · Introduction Continuous probability distributions play an important role in statistical analysis and data science. They are used to model the distribution of continuous random variables and can provide insights into the behavior of real-world phenome...
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