Programming Leftovers

-
15 Popular Machine Learning Metrics For Data Scientist | UbuntuPIT
Machine learning is one of the most researched subjects of the last two decades. There is no end to human needs. But their production and working capability are limited. That’s why the world is moving towards automation. Machine Learning has a huge role in this industrial revolution. Developers are building more robust ML models and algorithms every day. But you cannot just throw your model into production without evaluating it. That’s where the machine learning metrics come in. Data scientists use these metrics to measure how good a model is predicting. You got to have a good idea about them. To make your ML journey convenient, we will be listing the most popular machine learning metrics you can learn to become a better data scientist.
-
Learn Pygame With Examples
This post introduces pygame basic concepts. Before we procceed, make sure you have pygame library installed.
-
2021.08 First 21 – Rakudo Weekly News
Alexander Kiryuhin has just announced the release of the first Rakudo Compiler Release of 2021: 2021.02 which, among many other fixes and improvements, implements the .slice method on Seqs and adds support for passing multiple units to Date / DateTime‘s .earlier and .later methods as the most visual additions. Kudos to Alexander for making sure all of this work comes together again!
-

- Login or register to post comments
Printer-friendly version- 1861 reads
PDF version
More in Tux Machines
- Highlights
- Front Page
- Latest Headlines
- Archive
- Recent comments
- All-Time Popular Stories
- Hot Topics
- New Members
digiKam 7.7.0 is released
After three months of active maintenance and another bug triage, the digiKam team is proud to present version 7.7.0 of its open source digital photo manager. See below the list of most important features coming with this release.
|
Dilution and Misuse of the "Linux" Brand
|
Samsung, Red Hat to Work on Linux Drivers for Future Tech
The metaverse is expected to uproot system design as we know it, and Samsung is one of many hardware vendors re-imagining data center infrastructure in preparation for a parallel 3D world.
Samsung is working on new memory technologies that provide faster bandwidth inside hardware for data to travel between CPUs, storage and other computing resources. The company also announced it was partnering with Red Hat to ensure these technologies have Linux compatibility.
|
today's howtos
|








.svg_.png)
Content (where original) is available under CC-BY-SA, copyrighted by original author/s.

Recent comments
1 year 11 weeks ago
1 year 11 weeks ago
1 year 11 weeks ago
1 year 11 weeks ago
1 year 11 weeks ago
1 year 11 weeks ago
1 year 11 weeks ago
1 year 11 weeks ago
1 year 11 weeks ago
1 year 11 weeks ago