AI company Hugging Face has released a new open source JavaScript library that allows frontend and web developers to add machine learning capabilities to webpages and apps. Traditionally, Python notebooks are the toolkit for data scientists, but for most web and frontend developers, it's JavaScript. Until now, adding those functions meant a Python app on the backend that did the work, said Jeff Boudier, head of product and growth at the startup. Using JavaScript, the browser can request machine learning models to serve predictions and obtain answers for a visitor. "We provide some low code/no code tools, but if you want to dig in a little bit, you still have to whip out some Python notebooks, etc. And that's the traditional toolkit of data scientists," Boudier told The New Stack.

Developer Journey is a new monthly series to spotlight diverse and global developers sharing relatable challenges, opportunities, and wins in their journey. Every month, we will spotlight developers around the world, the Google tools they leverage, and the kind of products they are building. What Google tools have you used? I usually work as a web frontend developer. My principal tool is JavaScript as a programming language using some frameworks.

I really don't want to say that I've figured out the majority of what's wrong with modern education and how to fix it, BUT When we train (fit) any given ML model for a specific problem, on which we have a training dataset, there are several ways we go about it, but all of them involve using that dataset. Say we're training a model that takes a 2d image of some glassware and turn it into a 3d rendering. We have images of 2000 glasses from different angles and in different lighting conditions and an associated 3d model. How do we go about training the model? Well, arguable, we could start small then feed the whole dataset, we could use different sizes for test/train/validation, we could use cv to determine the overall accuracy of our method or decide it would take to long... etc But I'm fairly sure that nobody will ever say: I know, let's take a dataset of 2d images of cars and their 3d rendering and train the model on that first.

When creating a website, it is an essential objective of developers to make it appealing. They undergo a few systems, including drawing idea sketches, building models, and experimenting with the website before pushing it live. These procedures don't occur parenthetically. Developers spend many months on constructing a beautiful and responsive website. Be that as it may, the development in technologies is making things more manageable for them.

In the context of increasing awareness of the need to improve the quality of community health services, Ecomedic is working to build and develop an intelligent health network that connects patients and doctors and delivers the fastest, most reliable information. Blockchain, IoT, AI, BigData ... are the latest technology trends that Ecomedic wants to focus on researching and applying into innovative solutions to solve social problems, towards common goals. Ecomedic is building its own intelligent network and we have a strong belief in a future where technology is spreading across the community, connecting people for sustainable and long-term development. It does not matter who you are, what you have! If you have passion, great effort and never stop learning, WITH ECOMEDIC, YOU DESERVE!

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