If you look at the Wikipedia article on Weierstrass functions, you’ll find a line that says “the relation between the…
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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…
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An empirical distribution function provides a way to model and sample cumulative probabilities for a data sample that does not…
Continue ReadingNiranjan 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 ReadingHow 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 ReadingA 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 ReadingA 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 ReadingMLflow, 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 ReadingA 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 ReadingDemystify 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 ReadingNeural 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 ReadingHow 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 ReadingSetting 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 ReadingThe 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 ReadingNotes 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 ReadingApply 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 ReadingExtending 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 ReadingMake 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 ReadingWhat 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 ReadingRNNs: 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 ReadingOptimizing 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 ReadingImplementing 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 ReadingIntelligent, 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 ReadingAmazonian 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 ReadingSpectral encoding of categorical features
In tis case we can use Spectral Graph Theory methods to create low dimensional embedding of the categorical features. The…
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