If you feel like tech advances have passed you by because you've never learned to code or use AI, you could not be more wrong. Thank goodness it's no longer necessary to return to school to develop new skills. You can now learn valuable data wrangling skills and learn how to code with the Microsoft Visual Studio Professional 2022 The Premium Learn to Code Certification Bundle. It should be no surprise that Microsoft Visual Studio Professional 2022 has a perfect 5-star rating on Microsoft Choice Software. The Live Share feature makes collaboration seamless, CodeLens provides deep insights from your code, and Intellicode tops it all off by allowing you to type less while coding more.

Amazon Prime members can take half off the second-generation Ring Video Doorbell. Its 1080p camera includes motion detection and night vision, and the device supports two-way audio, so you can communicate with anyone approaching your home. Usually, it costs 100, but Prime subscribers can get it right now for only 50. Get Amazon's 1080p Ring doorbell for half off. This Ring model is battery-powered, so you won't need to worry about a complicated wired setup.

Wish you could see who's outside your door from anywhere? Then you need a video doorbell. The Ring Video Doorbell is down to 50 right now--half off its usual price in this early Prime Day deal--and this popular video doorbell is an excellent way to get that peace of mind. As Prime Day approaches fast, Amazon's own products are bound to be the first to get their prices slashed, and we're happy to see this Ring doorbell on the list of early winners. The Ring Video Doorbell features 1080p HD video with two-way audio so you can see, hear, and speak to anyone who's at your door directly from your own phone, tablet, or PC.

The field of deep learning has been suffering from what you might call a Big Data fallacy, the belief that more and more data is always a good thing. It may be time to focus on quality rather than just quantity. "There's a very fundamental problem that a lot of AI faces," said Andrew Ng, founder and CEO of Landing AI, a startup working to perfect the technology for industrial uses, in an interview with ZDNet this week. "A lot of AI is focused on maximizing the number of calories, which works up to a certain point," he said. "And sometimes you do have a lot of data, but when you have a small data set, it's more the quality of the data rather than the sheer volume."

Building on my recent tutorial on how to annotate PDFs and scanned images for NLP applications, we will attempt to fine-tune the recently released Microsoft's Layout LM model on an annotated custom dataset that includes French and English invoices. While the previous tutorials focused on using the publicly available FUNSD dataset to fine-tune the model, here we will show the entire process starting from annotation and pre-processing to training and inference. The LayoutLM model is based on BERT architecture but with two additional types of input embeddings. The first is a 2-D position embedding that denotes the relative position of a token within a document, and the second is an image embedding for scanned token images within a document. This model achieved new state-of-the-art results in several downstream tasks, including form understanding (from 70.72 to 79.27), receipt understanding (from 94.02 to 95.24), and document image classification (from 93.07 to 94.42).

The pandemic increased unemployment for several months, but finally, companies are seeing re-employment numbers going up fast again. While this is a positive sign, organizations need to have processes to handle the increased number of applicants the best way possible, especially for industries that had to let go of many employees, to recruit the best candidates. Employees are the company's most important asset, so hiring better is critical for your success. I interviewed Yves Lermusi, Chief Futurist at OutMatch, the leading AI-driven hiring platform, to discuss how AI will impact both recruiters and candidates' hiring experience. OutMatch helps leading companies boost talent acquisition performance and to deliver an engaging hiring experience for all.

Tinder claims to have made 30 billion matches to date, but many of those connections did not go beyond the digital world. A new analysis found that many users do not meet their potential mate in-person and the chances of finding someone interested in a long-term relationship are very slim. Researchers discovered that users need a very large number of matches in order to have just a few meetups - as only 50 percent of users met one match face-to-face. Tinder is a location-based mobile dating service app that presents users with pictures, name, age and other information of potential mates. Users swipe either left (not interested) or right (interested) on the screen, and provided both users swipe right they are matched and can begin messaging.