ramikrispin, to datascience
@ramikrispin@mstdn.social avatar

A few days ago, I posted about the Convex Optimization course by Prof. Stephen Boyd from Stanford University. Following this post, multiple people recommended checking the course book - Convex Optimization by Prof. Stephen Boyd and Prof. Lieven Vandenberghe.

The book is open and available online 👇🏼
https://web.stanford.edu/~boyd/cvxbook/bv_cvxbook.pdf

Thanks to the authors for making the book open online! 🙏🏼

Image credit: from the book

#datascience #MachineLearning #stats

talkpython, to python
@talkpython@fosstodon.org avatar
helenajambor, to datascience
@helenajambor@mastodon.social avatar

Everyone, drop what you are doing - SPURIOUS CORRELATION now has a companion site, SPURIOUS SCHOLAR - that WRITES AN ACADEMIC PAPER based on the spurious correlation! Because "if p < 0.05, why not publish?" 😂

https://tylervigen.com/spurious-scholar

publishing

Al academic paper (Because p < 0.01) - "The Elijah Wood Effect: A Cinematic Correlation to Orderly Occupation in Oklahoma" Reminder: This paper is Al-generated. Not reall Show prompt used to generate this paper

RConsortium, to datascience
@RConsortium@fosstodon.org avatar

🎉 Join the R Finance Conference 2024! 🎉

Ready to explore the nexus of finance and R programming? May 18 at UIC is where your journey begins. The R Finance Conference is your one-stop event for cutting-edge financial insights and methodologies, wrapped in a day of expert talks, hands-on workshops, and invaluable networking.

Don’t miss this chance to enhance your finance skills and connect with industry leaders.

🔗https://www.r-consortium.org/blog/2024/04/04/unlocking-financial-insights-join-us-at-the-r-finance-conference

leanpub, to datascience
@leanpub@mastodon.social avatar

Machine Learning Q and AI by Sebastian Raschka, PhD is on sale on Leanpub! Its suggested price is $29.95; get it for $17.47 with this coupon: https://leanpub.com/sh/cIJWwwLS

ramikrispin, to python
@ramikrispin@mstdn.social avatar

(1/2) Setting A Dockerized 🐳 Python 🐍 Environment — The Elegant Way

A few weeks ago, I created a short tutorial about setting up a dockerized 🐳 Python 🐍 environment via the CLI, or the hard way. The second tutorial on this topic provides a more elegant and robust approach for setting up a Python dockerized development environment with VScode and the Dev Containers extension 🚀.

video/mp4

ramikrispin, to datascience
@ramikrispin@mstdn.social avatar

DuckDB 🦆 + dplyr 🔧= duckplyr 🚀🚀🚀

DuckDB released a new R package - duckplyr, which enables running dplyr functions using the DuckDB engine on the backend ❤️. The package, on the backend, translates and maps the dplyr code into DuckDB. This will enable dplyr users to work with large datasets with higher performance.

Resources 📚
Code: https://github.com/duckdblabs/duckplyr
Documentation: https://duckdblabs.github.io/duckplyr/
Release post: https://duckdb.org/2024/04/02/duckplyr

mszll, to datascience
@mszll@datasci.social avatar

Probably every computer and curriculum should have full classes just on this one issue of contemporary automated war crimes: https://www.972mag.com/lavender-ai-israeli-army-gaza/

danyeaw, to python
@danyeaw@fosstodon.org avatar

Michigan Python is tomorrow at 7pm EDT! Yoeri Samwel will be giving a talk about Spatial Data Visualization with GeoPandas. I hope you join us! https://www.meetup.com/michigan-python/events/299683479/

colindean, to python
@colindean@mastodon.social avatar

My long-awaited blog post on the Tech blog has finally been published! Tag soup, you'll love it if you care about any of these together:

#homebrew

https://tech.target.com/blog/make-python-devex

ramikrispin, to python
@ramikrispin@mstdn.social avatar

Introduction to forecasting with ARIMA and seasonal ARIMA with Python 🚀👇🏼

This short tutorial by Joaquín Amat Rodrigo and Javier Escobar Ortiz provides an introduction to forecasting with ARIMA models using Python 🐍. This includes using different flavors of ARIMA methods from the statsmodels, pmdarima, skforecast, and statsForecast libraries.

📖🔗: https://cienciadedatos.net/documentos/py51-arima-sarimax-models-python.html

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paezha, to ai
@paezha@mastodon.online avatar

I was invited by LinkedIn to take a course that combines two crap technologies to create a pile of crap that only the crap could have crapped.

Hard pass.

stevensanderson, to datascience
@stevensanderson@mstdn.social avatar
hosford42, to hire
@hosford42@techhub.social avatar

Please boost for reach.

I have run out of severance and now I'm running out of savings. It's do or die now, folks. Job offers, job leads, job hunting advice...please send them all my way, and/or boost for reach. Freelancing is on the table, too. Details about me and what I'm looking for, to follow.

ramikrispin, to datascience
@ramikrispin@mstdn.social avatar

Complex Analysis - An Interactive Book 🚀👇🏼

The Complex Analysis book by Juan Carlos Ponce Campuzano focuses on the theory and applications of complex functions. The book makes great use of interactive data visualizations to explain the complex analysis theory.

https://complex-analysis.com/

StatisticsGlobe, to datascience
@StatisticsGlobe@mastodon.social avatar

I'm very excited to announce that the Statistics Globe online course on "Principal Component Analysis (PCA): From Theory to Application in R" has just started.

However, there is still the option to register: https://statisticsglobe.com/online-course-pca-theory-application-r

Registration ends at the end of the day, so secure your spot now.

See you soon in the course.

Joachim

stevensanderson, to datascience
@stevensanderson@mstdn.social avatar

Ever struggle with features in your data overshadowing others due to different scales? Normalization can be your hero!

In R, there are ways to transform your data for a more even playing field. This post explores two popular methods:

  1. Z-score normalization
  2. Min-max scaling

#R

Post: https://www.spsanderson.com/steveondata/posts/2024-04-02/

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

AI-Weekly for Tuesday, April 2, 2024 - Volume 106
https://ai-weekly.ai/newsletter-04-02-2024/

The Week's News in Artificial Intelligence
A Mind Vault Solutions, Ltd. Publication

Subscribers: 15,615 Opt-In Subscribers were sent this issue via email.

swatantra,
@swatantra@fosstodon.org avatar

@news @datasciencejobs My bad I have been following the hash tag so that is why I am seeing all these posts in my home feed without following the account. I forgot about it. Sorry for the inconvenience.

MineDogucu, to datascience
@MineDogucu@mastodon.social avatar

Our paper for a conference in 2023 is now published:

The Learning Difficulties Experienced By Introductory Data Science Students

https://escholarship.org/uc/item/01p3k7f3

LabPlot, to datascience
@LabPlot@floss.social avatar

A good news: Text alignment has been recently added to (dev) to make labels look better.

@labplot

ramikrispin, to python
@ramikrispin@mstdn.social avatar

(1/2) Moirai - Salesforce's Foundation Forecasting Model 🚀

Salesforce recently released Moirari - a new 🐍 library with a foundation model for time series forecasting applications. According to the release blog - the model comes with universal forecasting capabilities and can handle multiple scenarios and different frequencies.

datasciencejobscanada, to Ottawa
@datasciencejobscanada@mastodon.social avatar
ramikrispin, to llm
@ramikrispin@mstdn.social avatar

(1/2) Generative AI for Beginners Course 🚀

The Generative AI for Beginners course by Microsoft provides an introduction to the foundations of GenAI 👇🏼

https://github.com/microsoft/generative-ai-for-beginners

The course code examples are with both Python 🐍 and TypeScrip.

ramikrispin, to ArtificialIntelligence
@ramikrispin@mstdn.social avatar

(1/2) Deep Learning with Tensorflow Tutorial 🚀👇🏼

The below course by Dhaval Patel is a beginner-level course for Deep Learning in Python with Tensorflow 2.0 and Kares. The course covers the foundations of neural network and deep learning, which includes the following topics: 🧵👇🏼

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