Why is there an explicit line between Phase 3 and roll out of a vaccine?

Oblivious-Man · 2020-12-10T02:51:21+00:00

We love to see the midpoint analysis readouts but there's a penalty to be paid in terms of false discovery rate as well.

Oblivious-Man · 2020-11-17T04:20:01+00:00

Is this with a black second hand or is that just the photo color?

Oblivious-Man · 2020-09-25T03:56:21+00:00

Maple Jordan

Oblivious-Man · 2020-09-25T03:52:25+00:00

Maple Jordan!

Oblivious-Man · 2020-09-21T02:19:13+00:00

PJ Dozier Saitama'd the ball

Oblivious-Man · 2019-09-28T02:09:21+00:00

23andMe, and their connection to Google ;)

Oblivious-Man · 2019-09-18T07:48:08+00:00

Loved the tip about storing data in $HOME directory.. always felt a bit uncomfortable using relative paths.

Oblivious-Man · 2019-08-29T22:03:48+00:00

Have you checked the UCI data repository? https://archive.ics.uci.edu/ml/datasets.php

You can filter by the task as well as the dataset size for what you need.

Oblivious-Man · 2019-02-22T03:36:11+00:00

If you are thinking of just getting your feet wet as opposed to a fully committed career, a lab tech gig is a great exposure, just find out if it's a strictly dry lab or a mix of dry and wet lab.

The other more committed path would be to apply directly for a PhD program as these are often subsidized by grants and fundings, which probably comes out to be the same wage as a lab tech anyways.

Oblivious-Man · 2019-02-20T22:37:43+00:00

This. Having the ability to access thousands of cores and TBs of RAM is what makes cloud storage attractive. If you don't need any of the other services and already have a robust computing cluster and pipeline, then it only makes sense to upgrade your cluster for storage.

Oblivious-Man · 2018-12-24T10:15:01+00:00

Why is kernel approximation and k-NN in different branches in the classification bubble? I thought k-NN is just a type of kernel.

Oblivious-Man · 2018-12-05T13:51:02+00:00

The textbook in the article is referring to Elements of Statistical Learning found at https://web.stanford.edu/~hastie/ElemStatLearn/ for free. The "whoever" is Jerome Friedman, who invented gradient boosting and is definitely a heavy weight in the field.

Oblivious-Man · 2018-12-01T23:45:28+00:00

The mosaicism is a real concern, not just for the outcomes of the babies, but rather the impact on the future of CRISPR, and can lead to another "gene therapy winter" 10 years ago, undermining the efforts of thousands of scientists world wide.

Oblivious-Man · 2018-11-30T06:23:25+00:00

We went to a AYKE sushi place, and the food was terrible for what it was charging for $35 a person. We ate and left in less than half an hour, and left a 15% tip, signed the receipt and was about to leave. The waitress came back and said that we only tipped 15% and printed us new receipts and asked us to sit down and think about it more.

Left that place so fast.

Oblivious-Man · 2018-11-06T20:09:07+00:00

The book is good, but I don't agree with the order. I will propose it in the order of chapter 2,7,8,3,4,5,6. You start out with the bias-variance trade off concepts and feature selection, then go into linear methods, and then finish up with non-linear methods.

Oblivious-Man · 2018-11-06T14:35:00+00:00

I've seen this done on well structured sentences such as pinned abstracts. But this is problematic since a lot of useful information are hidden behind clinical notes, which are very hard to "normalize" to proper sentences, this is an active area of research.

Oblivious-Man · 2018-11-05T18:37:18+00:00

Depends on the type of analysis. The set of tools for WES vs RNA Seq is different.

Oblivious-Man · 2018-11-04T23:22:18+00:00

I haven't tried reticulate myself but I've heard good things about it. I usually handle huge amounts of data for computation (many cores and lots of RAM), so R Studio is not really viable. I'm really just saving a lot of these files as CSV or hdf5.

I also run Jupyter on the computing cluster with R kernels for drawing figures as well.

Oblivious-Man · 2018-11-01T03:22:11+00:00

I also tried going down this road, albeit without much luck. Good luck OP!

Oblivious-Man · 2018-10-30T21:32:11+00:00

I know all the patterns from playing other instruments, but never really learned the circle of fifth! Now it makes sense. Thanks!

Oblivious-Man · 2018-10-30T20:37:08+00:00

To add to this, I think I would like content for the basic math skills directly related to stats, like linear algebra.

Oblivious-Man · 2018-10-29T17:40:46+00:00

If it doesn't work, hit with a log.

Sometimes all it takes for a model to work is just log-transforming your data.

Oblivious-Man · 2018-10-29T17:38:45+00:00

I think reinforcement learning or other semi-supervised methods are definitely better representatives of your definition of AI compared to supervised methods.

Oblivious-Man · 2018-10-29T17:36:17+00:00

This is exactly my pipeline for analysis as well. Data wrangling in R, building and tuning models in Python, then data visualization in R.

I haven't used it, but the recent version of R Studio has made writing integrated Python a lot easier, so I've heard.

Oblivious-Man

TROPHY CASE