Month: August 2021

The first thing you need to determine is how much time you are able to dedicate to studying. It is important to be able to set aside decent blocks of … Read more

Getting started Photo by Roman Synkevych on Unsplash Git is a free and open-source version control system. Most programmers and data scientists interact with git on a daily basis. So … Read more

A new generation of tools bridging the gap between technical and non-technical users Photo by Jerry Zhang on Unsplash Co-authored with Sarah Krasnik. In 2021, the Modern Data Stack is … Read more

1. Exploratory Data Analysis You can download the results of this experiment in this CSV file to run the whole code on your computer (here). Box plot of the sample … Read more

Where do you want to start from and how far do you want to go? The maximum subarray problem is a problem of finding a contiguous subarray with the largest … Read more

Photo by JJ Ying on Unsplash We are a team of scientists working on computational methods for biological data analysis. One of our focus areas is the application of machine … Read more

Before we touch on what is so great about the way the Julia language has expanded and worked with multiple dispatch across the board, let us first touch on what … Read more

Introduction Dimensionality reduction is a popular method in machine learning commonly used by data scientists. This article will focus on a very popular unsupervised learning approach to dimensionality reduction, principle … Read more

I have chosen PyTorch Lightning for this task as it helps to decouple my data science code from deep learning engineering, empowering us to focus on: a) Loading and processing … Read more

Many people from a diverse range of backgrounds reach me on LinkedIn. Asking for tips and suggestions for transitioning their career into data science. I used to think, A ton … Read more

Why analytics work should often prioritize discoverability and reproducibility, not version control and code review. [Image from Freepik] A critical aspect of scaling organizations is process. Process allows you to … Read more

Despite being in the profession for years, it took me some time to get out of the if-then mindset of my day-to-day and begin to analyze how data science could … Read more

Computer Vision techniques are behind most AI applications we use daily, from the facial recognition capabilities in your smartphone to the incoming cashier-less retail stores, and let’s not forget everyone’s … Read more

Organization description Unlike most other organizations participating at the Google summer of code, I feel that ML4SCI is unique in both its methods and objectives. While most organizations look for … Read more

Example of an analysis with Equivocal Zones in a Naïve Bayes model. by Ginna Gomezwith Greg Page Equivocal Zones: Overview Typically, when we measure the performance of classification models, we … Read more

The “Kneedle” algorithm has been published by Satopää, Albrecht, Irwin, and Raghavan (2011, [2]) using the concept of curvature as a mathematical measure of much a function differs from a … Read more

Introduction– What is a Knowledge Graph (KG)?– Why KG?– How to use KG? KG in practice– Open source KGs– Creating custom KG– KG Ontology – Hosting KG (database)– Query facts … Read more

This blog post is a step-by-step tutorial on how to deploy multiple Flask Applications on a Linux server using Nginx and Gunicorn. In this tutorial, I suppose you already have … Read more

A Self-Contained Introduction Convolutional Neural Networks (CNN) possess the inbuilt property of translation invariance. This enables them to correctly classify an image at test time, even when its constituent components … Read more

Small data are everywhere and are very useful in the early days of learning different data science techniques. In some settings like research, small data are all that are available … Read more

Countless companies are embarking on a data journey. And increasingly they — correctly — start by designing a data strategy. But even with a great plan and positive intentions, success … Read more

The first step is to download the data from: https://grouplens.org/datasets/movielens/ I used the following dataset from the MovieLens: “education & development”. User Ratings Data Source: MovieLens After you’ve downloaded & … Read more

Learn how to work with multi-index dataframes with ease Photo by AbsolutVision on Unsplash Most learners of Pandas dataframe are familiar with how a dataframe looks like, as well as … Read more

Great Learning Materials for Beginners as well For R users ggplot2 is the most popular visualization library with a huge number of graphics available. It is simple to use and … Read more

The Gaussian distributions is important in statistics and are often used in social sciences to represent real random variables whose distributions are unknown. — Wikipedia Figure1 | Wikipedia Mean The … Read more

How Can Fashion Brands And Retailers Re-Imagine Fashion Through Advanced Analytics? Photo by Andrea Piacquadio on Pixels My interest in Data Analytics began in 2020 when I stumbled on an … Read more

Easily the biggest thing that affects new Julia users, and the Julia community as a whole is Julia’s ecosystem. While Julia does have the ability to call Python, for example, … Read more

Importing libraries The first thing that we have to do is to import libraries. In this case, we will import the Flask library for implementing our web application. Also, we … Read more