Tag - tutorial

by dask_dev on 2019-10-07 (UTC).

Dask partners well with Numba. Numba compiles code to run well on one machine, and Dask scales that code out to many machines.

Here is a quick example showing smooth integration with the two libraries.https://t.co/XKT3PcTcWO
— Dask (@dask_dev) October 7, 2019

tool tutorial learning

by PyImageSearch on 2019-10-07 (UTC).

New tutorial!🚀 Is Rectified Adam actually *better* than standard Adam?
- I ran 24 experiments to find out.
- The answer? Meh, not really.
Full tutorial w/ #Python code here: https://t.co/TQwOTnFHgt 👍 #DeepLearning #Keras #MachineLearning #ArtificialIntelligence #AI #DataScience pic.twitter.com/rOkQSzfPAe
— Adrian Rosebrock (@PyImageSearch) October 7, 2019

learning tensorflow tutorial

by PyData on 2019-10-05 (UTC).

"An introduction to Model Interpretability wiht LIME and SHAP" from PyData New York 2018https://t.co/52jew6eOvH

Don't forget to subscribe to #PyData on Youtube!
— PyData (@PyData) October 5, 2019

learning video tutorial

by fchollet on 2019-10-04 (UTC).

An end-to-end tutorial showing how to deploy Keras models on Android via TFLite: https://t.co/QRGYs2EJMP
— François Chollet (@fchollet) October 4, 2019

tensorflow learning tutorial

In a group with 6 other tweets.

by fchollet on 2019-09-30 (UTC).

To get started, check out this tf.keras guide: https://t.co/iaH4Q5Qsvr

In particular "Guide to training and evaluation" and "Guide to writing layers and models from scratch with subclassing" highlights some of the major changes.
— François Chollet (@fchollet) September 30, 2019

learning tensorflow tutorial

In a group with 6 other tweets.

by robjhyndman on 2019-09-30 (UTC).

The fable package is now on CRAN. Here is a brief intro to the main functions. https://t.co/75vf1T2jVU #rstats #forecasting Thanks to @mitchoharawild for the package.
— Rob J Hyndman (@robjhyndman) September 30, 2019

rstats learning tool forecast tutorial

by nj_tierney on 2019-09-29 (UTC).

I wrote a short(ish) blog post about how you can pass a function as an argument in #rstats. It's one of these things that I find pretty amazing in R, and hopefully it might prove useful to others :)https://t.co/rdGsKTkfmV
— Nicholas Tierney (@nj_tierney) September 29, 2019

rstats learning tutorial

by radekosmulski on 2019-09-20 (UTC).

@RSNA Intracranial Hemorrhage Detection @kaggle competition starter pack using @fastdotai

✅github repository: https://t.co/BLlNEuKlmk
✅competition website: https://t.co/HcP3HTUPgD
✅approach overview: https://t.co/0aNSrxFyRn
✅@fastdotai forum post: https://t.co/6Cag5b5v1m pic.twitter.com/hFmE0mG1Q0
— Radek Osmulski (@radekosmulski) September 20, 2019

kaggle w_code tutorial dataset application

by ClausWilke on 2019-09-20 (UTC).

I've set up a website with annotated examples of how to make publication-quality figures with ggplot2. #rstats #ggplot https://t.co/yfBOCsr69e pic.twitter.com/yOhoqYQ34W
— Claus Wilke (@ClausWilke) September 20, 2019

dataviz tutorial learning rstats

by dataandme on 2019-09-20 (UTC).

📏 Wield the power of the {ggforce}…
"Accelerate your plots w/ ggforce" 👨‍✈️ @theotheredgar https://t.co/gSsTwp7IJn #rstats #dataviz pic.twitter.com/xbahruh08U
— Mara Averick (@dataandme) September 20, 2019

dataviz rstats tutorial

by dataandme on 2019-09-16 (UTC).

🏫 Getting to know the new {tidyr} verbs? Check this out…
"Pivoting data from columns to rows (and back!) in the tidyverse" ✍️ @mjfrigaard https://t.co/60rZjPMvDA via @storybench #rstats
— Mara Averick (@dataandme) September 16, 2019

rstats learning tutorial

by yutannihilat_en on 2019-09-14 (UTC).

To celebrate🎉 the release of tidyr v1.0.0, I translated the slides of my Japanese talk at #TokyoR a while ago. Hope this helps a bit to enter the new era of tidyr. #rstats

A Graphical Introduction to tidyr's pivot_*()https://t.co/07mu5zwFNq pic.twitter.com/qqF3poSWrp
— Hiroaki Yutani (@yutannihilat_en) September 14, 2019

rstats tool learning tutorial

In a group with 1 other tweets.

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