#stats

the Library of Statistical Techniques (LOST)!

https://lost-stats.github.io/

#fun

Hmmmm, RStudio is doing some weird stuff recently.

https://quarto.org/

Quarto

An open source technical publishing system for creating beautiful articles, websites, blogs, books, slides, and more. Supports Python, R, Julia, and JavaScript.

#ml

Fotios Petropoulos initiated the forecasting encyclopaedia project. They published this paper recently.

Petropoulos, Fotios, Daniele Apiletti, Vassilios Assimakopoulos, Mohamed Zied Babai, Devon K. Barrow, Souhaib Ben Taieb, Christoph Bergmeir, et al. 2022. “Forecasting: Theory and Practice.” International Journal of Forecasting 38 (3): 705–871.

https://www.sciencedirect.com/science/article/pii/S0169207021001758

Also available here: https://forecasting-encyclopedia.com/

The paper covers many recent advances in forecasting, including deep learning models. There are some important topics missing but I’m sure they will cover them in future releases.

Forecasting-Encyclopedia

Forecasting: theory and practice

#career

> so the job of data scientist will only continue to grow in its importance in the business landscape.
>
> However, it will also continue to change. We expect to see continued differentiation of responsibilities and roles that all once fell under the data scientist category.

https://hbr.org/2022/07/is-data-scientist-still-the-sexiest-job-of-the-21st-century

Harvard Business Review

Is Data Scientist Still the Sexiest Job of the 21st Century?

Ten years ago, the authors posited that being a data scientist was the “sexiest job of the 21st century.” A decade later, does the claim stand up? The job has grown in popularity and is generally well-paid, and the field is projected to experience more growth…

#python

Guidelines for research coding. It is not the highest standard but is easy to follow.

https://goodresearch.dev/

goodresearch.dev

The Good Research Code Handbook

This handbook is for grad students, postdocs and PIs who do a lot of programming as part of their research. It will teach you, in a practical manner, how to organize your code so that it is easy to understand and works reliably.

#ml


https://arxiv.org/abs/2205.02302

Kreuzberger D, Kühl N, Hirschl S. Machine Learning Operations (MLOps): Overview, definition, and architecture. arXiv [csLG]. 2022 [cited 17 Jul 2022]. doi:10.48550/ARXIV.2205.02302

arXiv.org

Machine Learning Operations (MLOps): Overview, Definition, and Architecture

The final goal of all industrial machine learning (ML) projects is to develop ML products and rapidly bring them into production. However, it is highly challenging to automate and operationalize...

#ml

The recommended readings serve as a good curriculum for transformers.

https://web.stanford.edu/class/cs25/index.html#course

Stanford CS25

CS25: Tranformers United!

Disussing the latest breakthroughs with Transformers in diverse domains

#ml

1.0!

https://modelserving.com/blog/introducing-bentoml-10

A faster way to ship your models to production

Introducing BentoML 1.0 — A faster way to ship your models to production

After years working together with our community towards that goal, we decided to embark on a journey towards a 1.0 version. And today, we’re thrilled to announce the general availability of BentoML 1.0!

#fun

The History of User Interfaces
https://history.user-interface.io/

#fun

😂😂😂

[P] No, we don't have to choose batch sizes as powers of 2: MachineLearning
https://www.reddit.com/r/MachineLearning/comments/vs1wox/p_no_we_dont_have_to_choose_batch_sizes_as_powers/

Reddit

From the MachineLearning community on Reddit: [P] No, we don't have to choose batch sizes as powers of 2

Explore this post and more from the MachineLearning community

#ml


Mitchell M, Wu S, Zaldivar A, Barnes P, Vasserman L, Hutchinson B, et al. Model cards for model reporting. Proceedings of the Conference on Fairness, Accountability, and Transparency. New York, NY, USA: ACM; 2019. doi:10.1145/3287560.3287596

https://arxiv.org/abs/1810.03993

#ml

This is also like one thousand years later...

PyMC 4.0 Release Announcement — PyMC project website
https://www.pymc.io/blog/v4_announcement.html

PyMC project website

PyMC 4.0 Release Announcement

We, the PyMC core development team, are incredibly excited to announce the release of a major rewrite of PyMC3 (now called just PyMC): 4.0. Internally, we have already been using PyMC 4.0 almost ex...

#data

If you are building a simple dashboard using python, streamlit is a great tool to get started. One of the problems in the past was to create multipage apps.

To solve this problem, I created a template for multipage apps a year ago.
https://github.com/emptymalei/streamlit-multipage-template

But today, streamlit officially introduced multipage support. And it looks great. I haven’t built any dashboards for a while, but to me, this is still the go-to solution for a dashboard.
https://blog.streamlit.io/introducing-multipage-apps/

#fun

Higharc is a start-up helping people design houses using generative designs.

The demo looks amazing.

https://higharc.com/

Higharc

The Connected Homebuilding Cloud Platform | Higharc

Simplify your homebuilding operations. Design, sell, estimate, and build with one solution. Save time, reduce rework, and improve margins.

#ml

This is hilarious.

Source:
https://mobile.twitter.com/arankomatsuzaki/status/1529278580189908993

Paper: https://arxiv.org/abs/2205.11916

#ml

I have heard about deepeta before but never thought it was a transformer.

According to this blog post by uber, they are using an encoder decoder architecture with linear attention.

This blog post also explains how they made a transformer fast.

DeepETA: How Uber Predicts Arrival Times Using Deep Learning
https://eng.uber.com/deepeta-how-uber-predicts-arrival-times/