11 min
Creating custom regressors in scikit-learn means building your own machine learning models that follow scikit-learn’s API conventions, allowing them to work seamlessly with pipelines,...
If you’ve ever read a scientific study, survey results, or even a political poll, you’ve probably encountered confidence intervals (CIs). They’re one of the...
14 min
Optimal chunk size for RAG systems typically ranges from 128-512 tokens, with smaller chunks (128-256 tokens) excelling at precise fact-based queries while larger chunks...
This is one of the most beautiful connections in machine learning – let me break down exactly why Ridge regression is MAP estimation in...
14 min
Maximum A Posteriori (MAP) estimation is a Bayesian method for finding the most likely parameter values given observed data and prior knowledge. Unlike maximum...
28 min
Relevant Segment Extraction (RSE) is a query-time post-processing technique that intelligently combines related text chunks into longer, coherent segments, providing LLMs with better context...
Ollama is a tool used to run the open-weights large language models locally. It’s quick to install, pull the LLM models and start prompting...
While GPUs ((Graphics Processing Unit) are in high demand in video games, with the rise of Large Language Models (LLMs), GPUs are in high...
Cross-entropy is a measure of error, while mutual information measures the shared information between two variable. Both concepts used in information theory, but they...
The F statistic is used in statistical hypothesis testing to determine if there are significant differences between group means. It is most commonly used...
Bayesian Optimization is a method used for optimizing ‘expensive-to-evaluate’ functions, particularly useful in hyperparameter tuning for machine learning models. Let’s understand how it works...
2 min
Joint probability and conditional probability are two concepts in probability theory that deal with the likelihood of events, but they are used in different...
6 min
Using Cython, you can speed up existing Python code by an order of 100x or more. This is possible because Cython converts some of...
Let’s see how to cythonize Python code inside Jupyter notebooks step by step. In this post we will see how to: Define and time...
3 min
At its core, KL (Kullback-Leibler) Divergence is a statistical measure that quantifies the dissimilarity between two probability distributions. Think of it like a mathematical...
The Probe method is a highly intuitive approach to feature selection. If a feature in the dataset contains only random numbers, it is not...
3 min
Problem You need to retrieve a list of dates between two specified dates. Input First, let’s create a table and insert some sample data...
3 min
The difference between CROSS JOIN and INNER JOIN in SQL The question here is about the difference between a CROSS JOIN and an INNER...
2 min
Problem You have two tables, tableA and tableB. You want to retrieve all records from tableA that do not have a matching record in...
3 min
Problem How to access the “previous row” value in a SELECT statement in SQL? Input id sale_date units_sold 1 2023-01-01 10 2 2023-01-02 15...
© Machinelearningplus. All rights reserved.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
