Tensor algebra extends linear algebra to multi-dimensional arrays (tensors). In probability, it models complex dependencies in high-dim distributions, like in tensor factorizations (e.g., CP, Tucker) for latent variable models or analyzing moments of multivariate systems.
Don’t Underestimate Python in Data Analytics! https://t.co/TVVcEADYSq
👉 Save this to become a data pro! 👈
Otherwise, you’ll miss out on learning how to improve your work. 😓
Python isn’t just a programming language; it’s a powerhouse for data analytics. With the right tools and a bit of Python magic, your data will become more than just numbers; it’s the story of your success waiting to be told.
🔄 Save this post to reference as you explore these powerful tools.
#Python #DataAnalytics
🗞️ We just launched Heroku-Jupyter, an #OpenSource solution for deploying #Jupyter Notebooks on #Heroku.
Whether you’re a data scientist, educator, or developer, you can now spin up a cloud-based Jupyter environment in minutes: https://t.co/zylFNBl0bb
Built an open-source Jupyter Notebook that brings the power of @OpenAI's code interpreter into your local Python development environment.
Watch how easy it is to use Thread to edit code I wrote, chat with my notebook, or generate charts just using prompts.
We built Thread using @nextjs, @chakra_ui and @ProjectJupyter and you can install it by running:
pip install thread-dev
With the new Memgraph Extension by Redfield, analyzing graph data just got easier. Build workflows, import your graph data, and uncover insights in seconds! ⚡️
🔗 Read more: https://t.co/e1rYMKnM9v
#GraphDatabases#KNIME#DataEngineering
I've seen lots of great EDA tips for working in a jupyter notebook but FYI if you want to stay in the terminal and get an overview of your data you can use a #Python package called skimpy🐍✨
It uses rich and seems to be modeled after pandas profiling. Run `pip install skimpy`🥰
In our previous post, we talked about a perfect income statement in #Excel. Today, let’s expand it a bit further (yes, pun intended 😎 )
Here’s a step-by-step tutorial on how to make this one from our GIF: https://t.co/bbZtEiPqp7
Chapter 6: The Matrix (Immersive Linear Algebra) In this section, a number of useful matrices will be presented. This includes matrices for rotation, scaling, and shearing in both two and three dimensions. #linearalgebra https://t.co/mpNWvmy03H
🐍📰 Linear Algebra in Python: Matrix Inverses and Least Squares
In this tutorial, you'll work with linear algebra in Python. You'll learn to perform computations on matrices and vectors, how to study linear systems and solve them using matrix inverses.
https://t.co/TWMS4A2wns
@ProFootballTalk To those who think we’re caught in an endless time loop, you’re wrong. I just got back from Gemco and next year is our year, finally 🏆
@JoeBanner13 Not upset enough to cancel “I have to be the star” old style presser with the cub reporters gathered ‘round and the flash bulbs clicking, what is this 1957? Mr Jones! Mr Jones! Do you have any comment?? 📸📸📸