Svenska Pansarsskeppsföreningen

Överliggeriets Michael Jordan, Matematikens Sam Ask och professionell Mimarob.

[机器之心 JIQIZHIXIN @jiqizhixin]

New book from Tianqi Chen, the creator of XGBoost!

Modern GPU Programming For MLSys

Link: https://t.co/EQd2KDw3ah

[Matt Dancho (Business Science) @mdancho84]

Harvard just open-sourced its entire ML Systems curriculum.
Free. Public. 6 pillars. Hundreds of pages.

And it won't get most data scientists any closer to a $150K AI role.

Here's why.

[iwsfutcmd @iwsfutcmd]

i'm actually more interested in popular history works that historians universally agree "yeah, that's a solid one."

first one that comes to mind is "1491: New Revelations of the Americas Before Columbus" by @CharlesCMann

[Contempathy @contempathy]

Vivek "The One" Chibber, ladies and gentlemen.

[Daniel Steinmetz-Jenkins @daniel_dsj2110]

In your opinion, what is the best intellectual history book written since 2000.

[Steven Brunton @eigensteve]

I Wrote a New Book!!!

Optimization: A Bootcamp for Machine Learning, Inverse Problems, and Control

Pre-Order Now (July 31)
https://t.co/EoDMFapUUf

Coming Soon:

* Free PDF on website
* YouTube Videos for entire book
* Python code on GitHub

[Svenska Pansarsskeppsföreningen @pansarskepp]

@BergvallOlle @personayesgrata @eliasspaningar Härligt med faktiskt data i den här frågan. Var kommer tabellen ifrån? Går det att få tag på hela rapporten?

[Didier 'Dirac's ghost' Gaulin @DiracGhost]

We're very lucky that so much good learning material is publicly available on arxiv, such as this very complete 'Lectures on Differential Topology' by Riccardo Benedetti (400+ pages)

Covers subject such as bundles, transversality, bordism, Morse functions, Pontryagin-Thom construction, the basics of 4 manifolds ++

🔗👇👇👇👇

[Asimov Press @AsimovPress]

New essay: A Brief History of Bioinformatics Software

Although the word "bioinformatics" wasn't coined until 1970, the first computer program to analyze protein sequences, named COMPROTEIN, was published in 1962.

From our forthcoming book, "Making the Modern Laboratory."

[joshua schachter @joshu]

should i publish this? basically i used old-style statistics (spectral analysis) to figure out the latent space of a bunch of recipes. Analyzed about 180k recipes and it lets you drill into cuisines and/or features. Also thinking of a seasoning directory to tell you what flavors pair well.

[Matt Dancho (Business Science) @mdancho84]

Harvard just open-sourced its entire ML Systems curriculum.
Free. Public. 6 pillars. Hundreds of pages.

And it won't get most data scientists any closer to a $150K AI role.

Here's why.

[Srishti @srishticodes]

Harvard just made degrees worth $200k obsolete by open-sourcing its Senior AI Engineer roadmap

Stop paying for bootcamps. Prof. Vijay Janapa Reddi just put the entire ML Systems (CS249r) curriculum on GitHub.

If you master these 6 pillars, you're ahead of 99% of the field:
> Architecture
> Data Pipelines
> Production
> MLOps
> Edge AI
> Privacy

This is the "Black Box" of Big Tech infrastructure, open-sourced.

Read. Learn. Bookmark.

Book - https://t.co/997GB0s1fl
GitHub Repo -https://t.co/y8pDr4lGFt

[Dawei Zhu @dwzhu128]

[1/n]

Super excited to introduce PaperBanana 🍌! (PKU x Google Cloud AI)

As AI researchers, we often spend way too much time crafting diagrams and plots instead of focusing on the ideas 🤯. To rescue us from this burden, we built an Agentic Framework to auto-generate NeurIPS-quality paper illustrations!

📄 Paper: https://t.co/2NbQeEhzMv
🌐 Page: https://t.co/05dKkjVs7f

Key Features:
🌟 Human-like Workflow: Retrieve 🔍 -> Plan 📝 -> Style 🎨 -> Render 🖼️ -> Critique 🔄. This ensures both academic fidelity and aesthetics.
🌟 Versatile: Supports both illustrative diagrams and statistical plots.
🌟 Polishing: Also effective for polishing existing human-drawn diagrams.

Here are some example diagrams and plots generated by our PaperBanana:

[Sami Gold @souljagoyteller]

What podcasts do you guys listen to regularly? I do Know Your Enemy, Interesting Times with Ross Douthat, Ones and Tooze, The Time of Monsters, some cinema podcasts, QAnon Anonymous, and In Bed with the Right

[Jack Meyer 🏛️ @Jackbmeyer]

News, business, and current events:
- Odd Lots
- FT News Briefing
- Marketplace

More technical topics:
- Shift Key
- The Innovation and Diffusion Pod
- The Economic History Pod
- The Inequality pod

General research:
- Casual Inference
- Backstory
- New Books Network

Local:
- Brave Little State
- Vermont This Week

[antisense. @razoralign]

COTree: A Statistical Framework for Deciphering Cell-Resolved Multi-Omics Trajectories https://t.co/koqiEFoawL

[Kirk Borne @KirkDBorne]

Understanding Deep Learning -- a 541-page PDF eBook and 68 coding exercises with Python code notebooks that cover all the topics in the book: https://t.co/a1vDJHSsUy

...or buy the book here: https://t.co/0fMrJf5yu7

[Rifle Infantry @RifleInfantry]

Firelock 198X is a tabletop miniatures wargame about fantasy warfare in the nuclear age.

Find the books and material here: https://t.co/6T8huaNlC8

[Simon Späti 🏔️ @sspaeti]

Many asked how to so-called "break into data engineering". To be honest, if you just read whitepapers, you could go far.

I curated a list of specific data engineering papers.

- Lakehouse: Unify Data Warehousing and Advanced Analytics
- Ground: Data Context Service
- Spark: Cluster Computing with Working Sets
- Google File System
- Dataflow Model: Massive-Scale Data Processing
- MapReduce: Simplified Data Processing
- Dremel: Interactive Analysis of Web-Scale Datasets
- Data Mesh: Beyond Monolithic Data Lake
- MotherDuck: DuckDB in Cloud and Client
- Analytics Development Lifecycle (ADLC)
- Compiled and Vectorized Queries

More on https://t.co/t9B67hbU7R.