
Qubole
Scikit-learn
machine-learning in Python
BigML
Google Cloud TPU
Google CLOUD AUTOML
python-recsys
Obtains details of a cached recommendation.

SourceForge.net: ShellNewHandler details page

Which is more popular?
Based on our record, ShellNewHandler seems to be more popular. It has been mentioned 2 times since March 2021.
Website, pricing, platforms and company facts side by side.
|
|
|
|
|---|---|---|
| Website | learn.microsoft.com | sourceforge.net |
| Listed in |
What each product offers, as listed by its team.


Possible disadvantages
No features have been listed yet.
An editorial look at what each product does well and who it suits.


No analysis of Microsoft Recommendations API yet.
Overall verdict
Why this product is good
Recommended for
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Microsoft Recommendations API and ShellNewHandler. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Tracking Microsoft Recommendations API since Mar 2021.
Use Shell New Handler. Run the portable app and simply untick the items you don't want to appear in your new context menu. Source: about 4 years ago
I've always used ShellNewHandler for this. It's a really simple portable utility that allows you to remove most of the items from that menu. Tested it out on Windows 11 and it's still compatible. Source: over 5 years ago
When comparing Microsoft Recommendations API and ShellNewHandler, you can also consider the following products.

Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.
Compare Qubole to Microsoft Recommendations API or ShellNewHandler:

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Compare Scikit-learn to Microsoft Recommendations API or ShellNewHandler:

Do you want to do machine learning using Python, but you’re having trouble getting started? In this post, you will complete your first machine learning project using Python.
Compare machine-learning in Python to Microsoft Recommendations API or ShellNewHandler:

BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.
Compare BigML to Microsoft Recommendations API or ShellNewHandler:

Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.
Compare Google Cloud TPU to Microsoft Recommendations API or ShellNewHandler:

Train custom ML models with minimum effort and expertise
Compare Google CLOUD AUTOML to Microsoft Recommendations API or ShellNewHandler: