Understanding Tensor Axes in PyTorch Tensors in PyTorch are generalizations of matrices to n-dimensions. One of the keys to writing correct deep learning code is getting comfortable with axes (oft...

Statistics Scipy Machine Learning XAI (Explainable AI) methods These methods help in understanding and interpreting machine learning models, making them more transparent and trustworthy. SHAP ...

Stage 1: Python and SQL WHY PYTHON? Python is crucial for data engineers because it offers a versatile and readable programming language with extensive libraries, facilitating ef...

- SQL Server Basics - The SQL server basics section shows you how to use the Transact-SQL (T-SQL) to interact with SQL Server databases. You will learn how to manipulate data from the database such...

Statistical functions (scipy.stats) This module contains a large number of probability distributions, summary and frequency statistics, correlation functions and statistical tests, masked statisti...

Q&A What is conditional probability? Conditional probability is the probability of an event occurring given that another event has already occurred. It is calculated using the form...

method for compressing prompts The paper describes a method for compressing prompts used with large language models (LLMs), such as GPT-3.5, to reduce inference costs. The mathematical techniques ...

Tweet Split Given a set of Twitter hashtags, split each hashtag into its constituent words. For example: wearethepeople is split into we are the people mentionyourfaves is split into mention your...

Basic sort a list of elements using the bubble sort algorithm. nums = [2,0,1,2,0,1] for i in range(1,len(nums)): for j in range(i): if nums[i]<nums[j]: nums[j],nums[i]...

## Filling a Tank Problem Problem Statement: Consider a tank that needs to be filled using two pipes, A and B. The rates of filling for Pipe A and Pipe B are denoted as (A) and (B) respectively,...