# Most recents (8)

✔️ The difference between correlation and regression: towardsdatascience.com/the-difference…

#Correlation #Regression #Statistics #DataScience
1. Correlation: Correlation is a statistical measure that expresses the linear relation between two variables.
2. Regression: Regression analysis is a mathematical technique used to analyze some data, consisting of a dependent variable and one (or more) independent variables with the aim to find an eventual functional relationship between the dependent variable and the independent ones.
New release for @Uber forecasting library 🌈

Orbit is an open-source #Python library for Bayesian time series forecasting and inference applications developed by @UberEng 🧵 👇🏼

#timeseries #forecast #MachineLearning #PyTorch #Bayesian #Bayes
The library uses under the hood probabilistic programming languages with libraries such as #Python @mcmc_stan , Pyro, and #PyTorch to build the forecast estimators.

The new release, version 1.1 includes the following new features and changes: 👇🏼
New #forecasting model - Kernel Time-based #Regression (KTR). KTR model uses latent variables to define a smooth, time-varying representation of regression coefficients. Tutorials: 👇🏼
Going to break-down how easy it is to use #autoML and more specifically JADBio AutoML. If you need an account to try it out, head over to jadbio.com and grab a free Basic plan. Ready? #data #ML (1/16)
STEP 1: You start by creating a Project on JADBio and generating all your study #data. That could either be data that has been processed and normalized by a #Bioinformatician, or public data available in the known data repositories (2/16)
If you’re using software for #molecular diagnosis like our Partner’s @QIAGEN OmicSoft Lands platform, your data is ready to be uploaded on JADBio. #ML 3/16
1/ Excited to share how T cell therapies kill #leukemia!! multi-omics + new #computational #singlecell tools for longitudinal analysis 👉unexpected answer! cell.com/cell-reports/f…

*👏* @elhamazizi! 🙏 @dpeer Cathy Wu @MDAndersonNews @CPRITTexas @ColumbiaBME @sloan_kettering
2/ We studied donor lymphocyte infusion (DLI) - an #Immunotherapy for relapsed #leukemia after #BMT & the #og of #celltherapy. Previously, we showed DLI reversed T cell exhaustion - but didn't know why/how/which T cells were responsible...
ashpublications.org/blood/article/…
3/ To address these ?'s, we modeled intraleukemic T cell dynamics by integrating longitudinal, multimodal data from ~100K T cells (!) during response (R) or resistance (NR: nonresponder) to DLI.
A fascinating conversation between Jan-Werner Müller
@Princeton and Rahel Jaeggi @HumboldtUni on what is needed to (re)democratise our #democracies.
These are my key insights on what can be deduced from this for a strong progressive strategy 👇🏽
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As progressives, we have to be careful to use the concept of democratic #regression to describe the status quo of democracies. Rather than a regression, we currently witness an inability of democratic institutions to respond to systemic crises such as the climate crisis.
2/6
There are two central aspects that constitute this crisis: On the one hand, key social institutions such as central banks, financial markets or schools lack democratic ordering principles and with that democratic legitimacy.
Here's a basic tutorial for how to do simple linear regression in R!

#regression #Rstats #datascience #tutorial #ecology #Rthread #linearmodel #dataanalysis #statistics

[1/15]
First we are going to load some data. Let's use the built-in "trees" dataset by running:

data(trees)

This dataset is based on 31 black cherry trees trunks: their diameter at breast height (DBH) in inches (girth), height in feet, and wood volume in cubic feet.

[2/15]
Let's first rename the columns for clarity:

names(trees) <- c("DBH_in","height_ft", "volume_ft3")

[3/15]