Cloud computing continues to grow and will likely continue to do so. The low-cost infrastructure for enterprise solutions combined with the high-value services has resulted in cloud services being consistently in-demand.

If you're someone who just started out in the field of Data Science and Machine Learning, this is for you. We will discuss the following terms:

Open Source Advertising: the act of promoting a brand by releasing media (especially images) featuring its product(s) to the public to use and distribute free of charge.

Stripe Reader M2 is an easy-to-use mobile card reader designed for fast, secure payments.

A small number of communities initiate most conflicts, with 1% of communities initiating 74% of all conflicts. The image above shows a 2-dimensional map of the various Reddit communities. The red nodes/communities in this map initiate a large amount of conflict.

Indeed, there is growing interest in hobby robotics as a literal "nuts and bolts" environment. But there are also moves by Microsoft and other large companies, to introduce very complex and large software tools into robotics. They claim these are "efficient" tools, but their motives are simply to grab market share with tools that you can't escape from. Whereas, if you know the fundamentals, and your tools are fundamental, you can always use other tools or adapt YOUR tools for other purposes. Knowing the basics makes you flexible, and I'd argue flexibility is still an advantage today.

🐸 Identify anything. pyWhat easily lets you identify emails, IP addresses, and more. Feed it a .pcap file or some text and it'll tell you what it is! 🧙‍♀️

I have a special sympathy for sufferers of a particular human problem, and I get more emails about it than just about any other topic.

The moment you start acting on something, you are at the beginning of the end of the anxiety associated with that thing.

The two most important insights, however, are the first ones:

• Ignore your “stuff”; focus only on things
• When you don’t know what to do, get one of your things past the starting point

The rise of online shopping has posed significant challenges for fashion retailers. The lack of ability to try on and visualize outfits has made shopping less interactive, contributing to low conversion rates and high return rates compared to brick-and-mortar shopping. Virtual dressing rooms can recreate the lost experience of trying on clothes in person. There are other companies working on a virtual dressing room. However, the reason why this is not taking off is scalability. Fashion ecommerce platforms have thousands, if not millions of SKUs. Current approaches generally require custom Photoshop work or expensive 3D models which are difficult to scale. In contrast, our solution leverages our machine learning research to automate the entire process, resulting in the first scalable virtual dressing room that can be easily integrated with any large e-commerce platform with millions of SKUs.

Stripe Identity lets you programmatically confirm the identity of global users so you can prevent attacks from fraudsters while minimizing friction for legitimate customers.