function

All Aboard the Pandas Express – How to Speed up Data Preprocessing using Pandas in Python

Overview Pandas is the Swiss Army Knife of data preprocessing tasks in Python but can be cumbersome when dealing with…

approach, function, pandas

Sum of divisor powers

The function σk takes an integer n and returns the sum of the kth powers of divisors of n. For…

divisors, function, n.

Conceptual vs Numerical

One of the things that makes numerical computation interesting is that it often reverses the usual conceptual order of things,…

1.010050167084168, exponential, function

Not even close

Very often what cannot be done exactly can be done approximately. For example, most integrals cannot be computed in closed…

analytic, function, zero

24 Commonly used SQL Functions for Data Analysis tasks

IntroductionAnything and everything related to data in the 21st century have become of prime relevance. And one of the key…

aggregate, function, window

Counterexample to Dirichlet principle

Let Ω be an open set in some Euclidean space and v a real-valued function on Ω. Dirichlet principle Dirichlet’s…

dirichlet’s, function, principle

Where does the seven come from?

Here’s a plot of exp(6it)/2 + exp(20it)/3: Notice that the plot has 7-fold symmetry. You might expect 6-fold symmetry from…

function, plot, return

To integrate the impossible integral

In the Broadway musical Man of La Mancha, Don Quixote sings To dream the impossible dream To fight the unbeatable…

antiderivative, elementary, function

What Is Argmax in Machine Learning?

Argmax is a mathematical function that you may encounter in applied machine learning. For example, you may see “argmax” or…

argmax, function, vector

Neural Networks are Function Approximation Algorithms

Supervised learning in machine learning can be described in terms of function approximation. Given a dataset comprised of inputs and…

function, mapping, networks

What are Lambda Functions? A Quick Guide to Lambda Functions in Python

Introduction For loops are the antithesis of efficient programming. They’re still necessary and are the first conditional loops taught to…

function, functions, lambda

Scaling and memoization

The previous post explained that Lobatto’s integration method is more efficient than Gaussian quadrature when the end points of the…

evaluations, function, integrate

Mittag-Leffler transform

I keep running into Mittag-Leffler. A couple days ago I wrote about his polynomials. Today I ran across his regularization…

function, mittag-leffler, transform

Fundamentals of Deep Learning – Activation Functions and When to Use Them?

Overview Activation function is one of the building blocks on Neural Network Learn about the different activation functions in deep…

activation, function, relu

Analogies between Weierstrass functions and trig functions

If you look at the Wikipedia article on Weierstrass functions, you’ll find a line that says “the relation between the…

function, weierstrass, zeta

Area of sinc and jinc function lobes

This post will include Python code to address that question. First, let me back up and explain the context. The…

function, jinc, sinc

How to Use an Empirical Distribution Function in Python

An empirical distribution function provides a way to model and sample cumulative probabilities for a data sample that does not…

distribution, function, probability

Niranjan Pramanik, Ph.D.

Multiple Linear Regression — with math and codeKernel Regression — with example and codeIn this article, how kernel function is used as a weighing function to…

function, regression — with, step

How to Implement Bayesian Optimization from Scratch in Python

Last Updated on October 9, 2019 Global optimization is a challenging problem of finding an input that results in the…

function, objective, surrogate

A Gentle Introduction to Jensen’s Inequality

It is common in statistics and machine learning to create a linear transform or mapping of a variable. An example…

function, mean, payoff

A Gentle Introduction to Generative Adversarial Network Loss Functions

A Large-Scale Study, 2018. The result is better gradient information when updating the weights of the generator and a more…

function, functions, loss

MLflow, TensorFlow, and an Open Source Show

This summer, I interned on the ML Platform team. I worked on MLflow, an open-source machine learning management framework. This…

function, tracking, training

A Detailed Guide to 7 Loss Functions for Machine Learning Algorithms with Python Code

We can consider this as a disadvantage of MAE. Here is the code for the update_weight function with MAE cost:…

function, functions, loss

Demystify AWS Lex BotsAsanka NissankaBlockedUnblockFollowFollowingJul 8Source : https://www. signitysolutions. com/chatbot-development/amazon-lex“Bot” is a popular and booming term these days and for sure an…

function, functions, lambda