ramikrispin, to machinelearning
@ramikrispin@mstdn.social avatar

MLX Examples 🚀

The MLX is Apple's framework for machine learning applications on Apple silicon. The MLX examples repository provides a set of examples for using the MLX framework. This includes examples of:
✅ Text models such as transformer, Llama, Mistral, and Phi-2 models
✅ Image models such as Stable Diffusion
✅ Audio and speech recognition with OpenAI's Whisper
✅ Support for some Hugging Face models

🔗 https://github.com/ml-explore/mlx-examples

ramikrispin, to python
@ramikrispin@mstdn.social avatar

This weekend working on a fun project combining AirFlow, MLflow, and Darts 😎

ramikrispin, to python
@ramikrispin@mstdn.social avatar

(1/2) Hands-On Mathematical Optimization with Python 🚀

The Hands-On Mathematical Optimization with Python book by Krzysztof Postek, Alessandro Zocca, Joaquim Gromicho, and Jeffrey Kantor provides the foundation for mathematical optimization. As the name implies, the book is hands-on with Python examples, mainly using Pyomo.

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leanpub, to datascience
@leanpub@mastodon.social avatar

The Hundred-Page Machine Learning Book (PDF + EPUB + extra PDF formats) by Andriy Burkov is on sale on Leanpub! Its suggested price is $40.00; get it for $14.00 with this coupon: https://leanpub.com/sh/L5AtBEiI

ramikrispin, to datascience
@ramikrispin@mstdn.social avatar

(1/3) Introduction to Data Wrangler 🚀

Data Wrangler is a new Microsoft VScode extension for data exploratory analysis. It supports Python 🐍 and Pandas 🐼 DataFrame objects and is integrated into VScode Jupyter Notebooks. Here are some of the functionalities of Data Wrangler:
✅ Data review
✅ Column filtering
✅ Summary statistics
✅ Data cleaning and transformation
✅ Hadeling missing values
✅ Creating new fields

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rrrrrok, to datascience
@rrrrrok@fosstodon.org avatar

Last December we published a paper in the "Datasets and Benchmarks" track at NeurIPS 2023, detailing some of our ideas of how @renku could used for a more sustainable practice around data sets in data science, machine learning and beyond. It was quite well received, earning a "spotlight" acceptance! 🎉 More details here: https://blog.renkulab.io/neurips-2023

@datascience

nihilistdatascientist, to datascience
@nihilistdatascientist@mastodon.social avatar

Once I learned that SQL is usually case-insensitive I decided to write all my SQL in SpongeMock, because nothing fucking matters:

seLeCt
cOl2
,CoL1
fROm mY_tAblE
wHeRe cOl1 iS nOt nUlL
aNd CoL2 = 23

#sql #rstats #pydata #DataScience

datasciencejobs, to datascience
@datasciencejobs@mastodon.social avatar
ramikrispin, to ArtificialIntelligence
@ramikrispin@mstdn.social avatar

(1/2) MIT Introduction to Deep Learning 🚀🚀🚀

MIT launched the 2024 edition of the Introduction to Deep Learning course by Prof. Alexander Amini and Prof.Ava Amini. The course started at the end of April and will run until June. The course lectures are published weekly. The course syllabus keeps changing from year to year, reflecting the rapid changes in this field.

ramikrispin, to rust
@ramikrispin@mstdn.social avatar

(1/2) I recently posted a few posts about Rust 🦀 and my intention to leverage it for data science applications. Multiple people asked if Rust is a substitute for R or Python, and the short answer (in my opinion) is no. I see Rust as a complementary or supporting language that could make languages like R and Python faster.

Polaris 🐻‍❄️ is one example of a Python 🐍 application that uses Rust on the backend. 🧵👇🏼

leanpub, to datascience
@leanpub@mastodon.social avatar

The Hundred-Page Machine Learning Book https://leanpub.com/theMLbook by Andriy Burkov is the featured book on the Leanpub homepage! https://leanpub.com #DataScience #ComputerScience #MachineLearning #AI #ebooks

spocko, to datascience
@spocko@mastodon.online avatar

Data is beautiful.

datasciencejobs, to datascience
@datasciencejobs@mastodon.social avatar

🏢 Kraft Heinz is hiring a Senior Data Scientist
Location: 🇬🇧 London, United Kingdom

#DataScience #DataScientist #tech #JobSearch #GetFediHired #HashyJobs #UK

https://datasciencejobs.com/jobs/senior-data-scientist-kraft-heinz-united-kingdom-1/

ramikrispin, to datascience
@ramikrispin@mstdn.social avatar

(1/2) Happy Tuesday! ☀️

Deep Generative Models - New Stanford Course 🚀👇🏼

Stanford University released a new course last week focusing on Deep Generative Models. The course, by Prof. Stefano Ermon, focuses on the models beyond GenAI models.

stevensanderson, to programming
@stevensanderson@mstdn.social avatar

Want to check duplicate values across columns of a data.frame? Well you can do that in a basic way with TidyDensity and the check_duplicate_rows() function, or you can go through todays blog post for some other ideas with and

#R

Post: https://www.spsanderson.com/steveondata/posts/2024-05-14/

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news, to ai
@news@mastodon.toptechtidbits.com avatar

AI-Weekly for Tuesday, May 14, 2024 - Issue 112
https://ai-weekly.ai/newsletter-05-14-2024/

The Week's News in Artificial Intelligence
A Mind Vault Solutions, Ltd. Publication
#ai #news #ainews #artificialintelligence #aiweekly #technology #tech #technews #techtrends #machinelearning #robotics #datascience #airesearch #futuretech

Subscribers: 19,225 Opt-In Subscribers were sent this issue via email.

ramikrispin, to OpenAI
@ramikrispin@mstdn.social avatar

The new OpenAI model is out - GPT 4 Omni, supporting video, audio, and vision 🤯

https://openai.com/index/hello-gpt-4o/

BetaNYC, to datascience
@BetaNYC@urbanists.social avatar

Grab your bagels, it’s time! 🥯 🚇 📊

Join BetaNYC and the MTA Open Data team on June 5th at 9:30am to explore recently published MTA operating budget datasets. We’ll learn about the MTA’s open data program and conduct insightful analyses with their data.

Register at https://bit.ly/betabagels011 👈

ramikrispin, to datascience
@ramikrispin@mstdn.social avatar

(1/2) Google released a new foundation model for time series forecasting 🚀

The TimeFM (Time Series Foundation Model) is a foundation model for time series forecasting applications. This pre-trained model was developed by the Google Research team. It joins the recent trend of leveraging foundation models for time series forecasting, which includes Salesforce's Moirai and Amazon's Chronos.

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datasciencejobs, to datascience
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underdarkGIS, to datascience
@underdarkGIS@fosstodon.org avatar

Woa, just in time 😅

@movingpandas v0.18.0 just landed on pypi and conda-forge

For an overview of all new features and improvements, see
https://github.com/movingpandas/movingpandas/releases/tag/v0.18

Example notebooks will be updated later. Now it's time for #esc2024

#MobilityDataScience #MovementDataAnalytics #Mobility #GeoPandas #DataScience #GIScience #GISChat #OSGeo #MovementData #VisualAnalytics

ramikrispin, to Excel
@ramikrispin@mstdn.social avatar

(1/2) I have been following the work of @stevensanderson and David Kum for a few years now, and I am excited to see the release of their new book 🥳- Extending Excel with Python and R 🚀.

The book focuses on the common conjunction and collaboration between data scientists and Excel users. This includes scaling and automating tasks with and and core data science applications such as data wrangling, working with APIs, data visualization, and modeling.

PyDataPGH, to Pittsburgh
@PyDataPGH@fosstodon.org avatar

Join for a casual gathering of the local, national, and international PyData community on the sidelines of US 2024! Meet up with fellow , , and scientific computing enthusiasts when the world's largest Python conference comes to town.

https://www.meetup.com/pydata-pittsburgh/events/300961938/

leanpub, to datascience
@leanpub@mastodon.social avatar

Graphs Don’t Lie by Lee Baker is free with a Leanpub Reader membership! Or you can buy it for $7.99! http://leanpub.com/graphsdontlie

leanpub, to graphics
@leanpub@mastodon.social avatar

D3 Start to Finish: Learn how to make a custom data visualisation using D3.js. https://leanpub.com/d3-start-to-finish by Peter Cook is the featured book on the Leanpub homepage! https://leanpub.com

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