Two Spark and Machine Learning training sessions kicked off in New York held and organized by deepsense.io after sponsoring the Strata+Hadoop World Conference.
Trusted Analytics Platform cloud software stack with deepsense.io’s Seahorse CE full integration among the big data analytics applications.
I was facing an interesting problem last week. Playing with data from The Genome Cancer Atlas (full genetic and clinical data for thousands of patients) I was building a classifier that predicts the type of cancer based on sets of genetic signatures.
I was looking for biplots created with the use of ggplot2 library (because they look good and are customisable).
It turns out that there are some nice solutions for PCA (like sinhrks/ggfortify; kassambara/factoextra; vqv/ggbiplot; fawda123/ggord) but I could not find suitable solution for correspondence analysis.
So I create one….
1st September was just few days ago. After the reform ‘lowering the age at which children start their school education’ the second group of 6 and 7-year-old children started attending the freshmen classes. And since we are in the ‘pre-election’ mode there are some votes about a reform reestablishing the previous age for starting school education.
What is the difference between these 2 images? The one on the left has no signs of diabetic retinopathy, while the other one has severe signs of it. If you are not a trained clinician, the chances are, you will find it quite hard to correctly identify the signs of this disease.
40 attendees are to participate in deepsense.io’s 2-day training program for professionals who want to develop and increase their skill set in data science and machine learning.
I recently came across the presentations of the results of the surveys concerning participation in the planned referenda published by the portal Gazeta.pl.
My attention was caught by the diagram presented below which displays a distribution of answers to the question: “Are you going to vote in the referendum scheduled for 6th September?”
I have been working recently on visualization of genetic data. In that field a popular method of presentation are circles generated by the circlize library. Turning a blind eye to the problem of reading information from circles I must say that the possibilities…
We claimed a 6th place finish in Kaggle’s machine learning image recognition contest facing off against 661 teams from all over the world!