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Posts by mr Tsjolder
Technically, chat-GPT (GPT-3.5) is also freely accessible via https://chat.openai.com Possible alternatives are: TII's Falcon LAION's Open Assistant Mosaic's MPT Google's Bard Anthropic's C...
In machine learning there seem to be various types of learning. I commonly hear about supervised learning, unsupervised learning, and reinforcement learning. However, it is not always clea...
I know what Support Vector Machines (SVMs) are and how they work, but I regularly get confused by what exactly the support vectors are. In case of linearly separable data, the support vectors are ...
Is it possible to have special features enabled in the Incubator Q&A? I have tried to port one of my an answers for a question on Machine Learning, but it was written for markdown with MathJax...
Consider a machine learning problem with inputs $\boldsymbol{X} \in \mathbb{R}^{N \times D}$ and corresponding labels $\boldsymbol{y} \in \mathcal{Y}^N$. When the problem is to solve a regression ...
TL;DR: Fine-tuning is not the same as transfer learning, but is often a part of transfer learning. The goal of transfer learning is to "transfer" information from one model to some other model. T...
I am afraid that the answer to your question is actually quite simple: there is no consensus among scientists. This is illustrated by the fact that the "fathers of Deep Learning" do not entir...
The goal of a soft-margin or C-SVM is to solve the following minimisation problem: $$\min_{\boldsymbol{w}, b} \frac{1}{2} \|\boldsymbol{w}\|^2 + C \sum_i \xi_i$$subject to $$\forall i : \begin{al...
Unsupervised learning covers a variety of different tasks. Depending on the task at hand, different techniques can be used. However, there are a few common paradigms that are used to extract info...
I am no specialist on audio processing, but I believe the general task of converting raw audio to discrete symbols is called transcription. However, this does not distinguish whether these symbols...
The Machine Learning (ML) community aims to provide a platform for anyone interested in helping computers learn from data. We mainly target people with backgrounds in data science, machine learnin...
There is the obvious answer that points out that since $y \in \{0, 1\}$, we would end up with invalid values for computing the logits. However, by transforming the labels to have values $\tilde{y}...