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

Continue Reading# function

## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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:…

Continue Reading## Demystify AWS Lex Bots

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…

Continue Reading## Neural Networks: parameters, hyperparameters and optimization strategies

Well, if you think about a generic loss function with only one weight, the graphic representation will be something like…

Continue Reading## How a simple mix of object-oriented programming can sharpen your deep learning prototype

Let’s demonstrate using a simple case — a DL image classification problem with the fashion MNIST dataset. Case illustration with a DL…

Continue Reading## Setting Up Automatic Alerts About Your AWS Lambda Data Pipeline

A great feature of Lambda is you can trigger it to run in a variety of ways, certainly at least…

Continue Reading## The Hitchhikers guide to handle Big Data using Spark

The Hitchhikers guide to handle Big Data using SparkNot just an IntroductionRahul AgarwalBlockedUnblockFollowFollowingJul 3Big Data has become synonymous with Data engineering.…

Continue Reading## Notes on computing hash functions

A secure hash function maps a file to a string of bits in a way that is hard to reverse.…

Continue Reading## Apply and Lambda usage in pandas

Apply and Lambda usage in pandasLearn these to master PandasRahul AgarwalBlockedUnblockFollowFollowingJul 1Pandas is a wonderful tool to have at your disposal. I…

Continue Reading## Extending PyTorch with Custom Activation Functions

Extending PyTorch with Custom Activation FunctionsA Tutorial for PyTorch and Deep Learning BeginnersAlexandra DeisBlockedUnblockFollowFollowingJun 27IntroductionToday deep learning is going viral…

Continue Reading## Make Data Acquisition Easy with AWS & Lambda (Python) in 12 Steps

Enter Lambda (yes I know you could also use Batch for this, but this is a Lambda tutorial). AWS has…

Continue Reading## What is Robustness in Statistics? A Brief Intro to Robust Estimators

A Brief Intro to Robust EstimatorsEce MutluBlockedUnblockFollowFollowingJun 25Robust statistics are the statistics that are resistant to outliers. In other words,…

Continue Reading## RNNs: The Trade-Off Between Long-Term Memory and Smoothness

RNNs: The Trade-Off Between Long-Term Memory and SmoothnessZachary ManesiotisBlockedUnblockFollowFollowingJun 20It is well-known that retaining long-term information when learning via gradient…

Continue Reading## Optimizing Individual-Level Models for Group-Level Predictions

(Caveat: Fourier duality suffers from a plurality of conventions due to the identification of the group of real numbers with…

Continue Reading## Implementing Recursion with the Y Combinator in any Language

I’d recommend reading Lambda Calculus in JavaScript before continuing!The Y Combinator is a fixed-point higher order function which is used…

Continue Reading## Intelligent, realtime and scalable video processing in Azure

Intelligent, realtime and scalable video processing in AzureRené BremerBlockedUnblockFollowFollowingJun 181. IntroductionIn this tutorial, an end to end project is created in…

Continue Reading## Amazonian puppeteer

Amazonian puppeteerWarrenn EnslinBlockedUnblockFollowFollowingJun 17Adventures of getting puppeteer working in AWS Lambdahttps://www. thegef. org/sites/default/files/Amazon_870. jpgIntroductionI am the most forgetful person I…

Continue Reading## Spectral encoding of categorical features

In tis case we can use Spectral Graph Theory methods to create low dimensional embedding of the categorical features. The…

Continue Reading