If you are working with big data, especially on your local machine, then learning the basics of Vaex, a Python library that enables the fast processing of large datasets, will provide you with a productive alternative to Pandas.

Julia libraries are very useful for ML and deep learning. In this article we are going to discuss top julia machine learning libraries

jiant is an nlp toolkit. Contribute to nyu-mll/jiant development by creating an account on GitHub.

Facebook AI Research Sequence-to-Sequence Toolkit written in Python. - facebookresearch/fairseq

The 2021 Google I/O annual conference brings us LaMDA, a breakthrough in conversational AI.

I did machine learning at a startup for 3+ years. We raised a round and built some cool tech. But wasted a lot of time in the process. Despite recommendations from almost every AI PhD who advised me…

Building a time series forecasting pipeline to predict weekly sales transaction

The best 11 minutes you’ll spend today: The terminal tips for programmers

Jupyter notebooks for the code samples of the book "Deep Learning with Python" - fchollet/deep-learning-with-python-notebooks

Python books free to read online or download. Contribute to pamoroso/free-python-books development by creating an account on GitHub.

Learn how to use OpenTelemetry to get full stack observability on the performance and behavior of your software projects.

✏️ Course developed by Ania Kubów. Check out her channel: https://www.youtube.com/channel/UC5DNytAJ6_FISueUfzZCVsw

🔗 Step by step guide…

Understand how to join SQL tables in python. Let's study how to Join the DataFrames using Pandas and perform SQL like functions

Sometimes, having a certificate can be the validation you need

A data augmentations library for audio, image, text, and video. - facebookresearch/AugLy

Tips to build an online portfolio for data scientists.

🎓 Path to a free self-taught education in Computer Science! - ossu/computer-science