Topbots

JUNE 22, 2023

So, to make a viable comparison, I had to: Categorize the dataset scores into Positive , Neutral , or Negative labels. This evaluation assesses how the accuracy (y-axis) changes regarding the threshold (x-axis) for categorizing the numeric Gold-Standard dataset for both models. First, I must be honest. Then, I made a confusion matrix.

Machine Learning 107

Machine Learning ChatGPT Natural Language Processing Categorization 107

Mlearning.ai

MAY 23, 2023

In this article, we will explore some common data science interview questions that will help you prepare and increase your chances of success. Read the full blog here —  [link] Data Science Interview Questions for Freshers 1. What is Data Science? Define and explain selection bias? Explain it’s working.

Data Science 52

Data Science Neural Network Deep Learning Machine Learning 52

AWS Machine Learning Blog

DECEMBER 19, 2024

The data requirements for both of these techniques are very different, so well go into further detail in the following sections. Instruction fine tuning dataset format The columns in the table that follows represent the key components of the instruction-tuning paradigm: Type categorizes the task or instruction type.

LLM 59

LLM Machine Learning Natural Language Processing ML 59