Tag

data science

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

slideshare-data-analytics-on-azure

Machine Learning from the Ground up

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

slideshare-machine-learning-from-the-ground-up

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

PMachineLearning-MM
From Graph-Powered Machine Learning by Alessandro Negro

Building Linear Models with Dask ML

From Data Science at Scale with Python and Dask by Jesse C. Daniel

This article delves into building linear models using Dask-ML.

Handling Data with R

From Practical Data Science with R, 2nd Ed. By Nina Zumel and John Mount

In this article, we demonstrate some ways to get to know your data, and discuss some of the potential issues that you’re looking for as you explore.

Finding Valuable Insights in Complex Data

From Graph Databases in Action by Dave Bechberger


slideshare-finding-valuable-insights-in-complex-data

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