Pandas

Pandas is an open source library in Python. Pandas provides functions and tools to allow management of data structures and data analysis. Therefore Pandas library is particularly useful in data science, data engineering and machine learning. The official documentation of the pandas functions is available at: https://pandas.pydata.org/pandas-docs/stable/index.html. Pydata community is a member of the NumFocus ... Read more

Parametric ML algorithm

Machine learning can be summarized as learning a function (f) that maps input variables (X) to output variables (Y), such as Y = f(x). An algorithm learns this target mapping function from training data. The form of the function is unknown, so our job as machine learning practitioners is to evaluate different machine learning algorithms ... Read more

perceptron

A perceptron is a type of algorithm which is utilized by ANNs to solve binary classification problems.

pipeline

In machine learning, an ML pipeline is a sequential set of tasks which automate the machine learning process by feeding the output of one task into the input of the next task. Pipeline is a concept which can be found in other information technology principles as well. For example, in devops, a CI/CD cloud pipeline, ... Read more

polynomial kernel

The polynomial kernel is a kernel trick method that uses polynomial values as part of its feature space projection. The polynomial kernel is used with support vector machines (SVMs) and other kernelized ML models.

Python

Python is an imperative computer programming language. Python is very versatile and flexible and can accommodate a series of problem solving algorithms in various knowledge domains. One scientific area in which Python excels is Machine Learning and, consequently, Artificial Intelligence. Python code, including libraries of classes and functions, are organized into packages and modules. A ... Read more