Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile
Hands-on Tutorials A step-by-step guide using Matplotlib and Seaborn libraries Photo by Luke Chesser on Unsplash Visualization is an important skill set for a data scientist. A good visualization can help in clearly communicating insights identified in the analysis also it is a good technique to better understand the dataset. Our brain is wired in a way that makes it easy for us to extract patterns or trends from visual data as compared to extracting details based on reading or other means.
Image by H Heyerlein on Unsplash Hands-on Tutorials Can you tell the difference between these images? Easy right? And I’m sure those of you familiar with classical machine learning methods could whip up a classification algorithm to automate this process in a heartbeat. But what about when we don’t have any labels? Hopefully, for some of you, some fancy unsupervised clustering algorithms come to mind.
Photo by Maxwell Nelson on Unsplash Hands-on Tutorials Normalization of well log data is a common and routine process within a petrophysical workflow and is used to correct for variations in logging curves between wells. These variations can arise due a number of different reasons such as incorrect tool calibrations, varying tool vintage and changes in borehole environmental conditions between the wells.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
