ONLINE CONFERENCE - oneAPI DevSummit for AI 2022 - 12 July 2022

 

Are you a researcher, data scientist, or developer looking to build AI applications and seamlessly scale them from edge to cloud?

Join us for a day of discovery with renowned industry experts who will demystify the latest technologies, tools, trends, and techniques.

• Drop-in optimizations across popular frameworks and libraries for deep learning, machine learning, and data analytics—TensorFlow, PyTorch, scikit-learn, and more.
• Intel AI tools for end-to-end development—data preparation, training, inference, deployment, and scaling
• A hands-on workshop on dinosaur hunting (yes, you read that correctly)
• Opportunities to attend tech talks and panel discussions with tech experts from Google, Accenture, RedHat, JD.COM, Aible and more.

Expand your view and vision across the AI technology spectrum to get started on your development journey or supercharge your existing one.

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Decision Tree Algorithm, Explained by Nagesh Singh Chauhan via @kdnuggets

All you need to know about decision trees and how to build and optimize decision tree classifiers.

A very clear and easy to understand guide that you might want to share with any folks that need the detailed information in it.

Top 10 Python Libraries Data Scientists should know in 2021 by Terence Shin via @kdnuggets

So many Python libraries exist that offer powerful and efficient foundations for supporting your data science work and machine learning model development. While the list may seem overwhelming, there are certain libraries you should focus your time on, as they are some of the most commonly used today.

I found this useful and it gave me a great reminder of what I can/should use for libraries now.

K-Means 8x faster, 27x lower error than Scikit-learn in 25 lines by Jakub Adamczyk via @kdnuggets

K-means clustering is a powerful algorithm for similarity searches, and Facebook AI Research's faiss library is turning out to be a speed champion. With only a handful of lines of code shared in this demonstration, faiss outperforms the implementation in scikit-learn in speed and accuracy.

Definitely, a new one to try and see if you like the results better.

How to build pipelines with pandas using pdpipe by Tirthajyoti Sarkar via @TDataScience

This tutorial describes how to build intuitive and useful pipelines with pandas DataFrames using the pdpipe library.

A great tutorial which includes some code too. Definitely worth a bookmark.