Tag

data science

Is my Problem a Graph Problem?

From Graph Databases in Action by Dave Bechberger

In this article, we’ll review what makes a problem a good graph use case. We’ll start by examining a few general categories of problems and discussing why they might make for good graph use case.  Finally, we’ll analyze a general framework that we can use to help us decide if our problem is a good graph use case.

The Data Scientist’s Survival Guide

From Build Your Career in Data Science by Emily Robinson and Jacqueline Nolis


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Want to Learn Machine Learning Inside Out?

From Grokking Machine Learning by Luis G. Serrano


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Working with Large Datasets Faster: using the map function

From Mastering Large Datasets by JT Wolohan

This article explores using the map function creatively in a data project.

Tidying, Manipulating, and Plotting Data with the tidyverse

From Machine Learning with R, tidyverse, and mlr by Hefin Rhys

This article covers:

• What the tidyverse is
• What’s meant by tidy data
• How to install and load the tidyverse
• How to use the tibble, dplyr, ggplot2 and tidyr packages of the tidyverse

Data Analytics on Azure

From Azure Data Engineering: Real-time, streaming, and batch analytics
By Richard L. Nuckolls

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Machine Learning from the Ground up

From Machine Learning for Mortals (Mere and Otherwise) by Hefin I. Rhys

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Beyond Beyond Spreadsheets

Six Questions for Jonathan Carroll, author of Beyond Spreadsheets with R

By Frances Lefkowitz

Jonathan Carroll is a data science consultant providing R programming services. He holds a PhD in theoretical physics.

Modern Data Solutions with Python

From Python for Big Datasets by John T. Wolohan

The Magic of Graphs and Machine Learning

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From Graph-Powered Machine Learning by Alessandro Negro

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