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Visualizing Linear Regression and Gradient Descent
Overview In this lecture we build intuition for how optimizes a model. We coordinate three visualizations: 1. Training Data and Regression Lines We simulate a realistic training set of 30 points (size in square feet vs. price in $1000s. The red points are the observed data. The colored lines show five successive fits produced by… Continue reading
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Understanding the Learning Rate in Gradient Descent
Key Idea: The learning rate controls how large a step the gradient descent algorithm takes in each iteration when moving toward the minimum of a cost function. Choosing appropriately is crucial: too small leads to painfully slow learning, while too large can cause divergence or oscillation. 1. The Gradient Descent Rule Gradient descent is an… Continue reading
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What Chat GPT cannot do? the limitations!
The Large Language Model stands for the training data, which is processed by algorithms and fine-tuning. So, when the user provides a prompt to Chat GPT, it uses its training data to explain the question. This fact stands for the first limitation: it is trained on data from up to September 2021. Furthermore, its model… Continue reading
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Chat GPT in a nutshell
Chat GPT is a conversational language model that can answer questions and perform tasks by returning a text-based response. Chat GPT differs from usual chatbots in that it has more power than usual chatbots, which have predetermined responses and can answer only limited questions. Chat GPT can answer almost every question because it can interpret… Continue reading
About Me
My name is Cenk, and I am an economist. I write on this internet site on economics, econometrics, finance, value-investing, programming, calculus, basketball, history, foods, books, self-improvement, well-being and productivity. This internet site is a personal blog, and the posts reflect my personal views and do not represent where I have been working.
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