1. Polymer

Actualités, Méthodes et organisation des process IT

22 avril 2023/par Service comm.

Time-series Forecasting With TensorFlow and QuestDB

Machine Learning For Time-series Forecasting

Machine learning is taking the world by storm, performing many tasks with human-like accuracy. In the medical field, there are now smart assistants that can check your health over time. In finance, there are tools that can predict the return on your investment with a reasonable degree of accuracy. In online marketing, there are product recommenders that suggest specific products and brands based on your purchase history.

In each of these fields, a different type of data can be used to train machine learning models. Among them, time-series data is used for training machine learning algorithms where time is the crucial component.

Source de l’article sur Webdesignerdepot

1 août 2022/par Service comm.

12 Best Google Design & Development Tools

Actualités, Actualités

Google resembles an iceberg: there’s the part above the water we can see and use everyday; there’s also the part beneath the water, that we don’t see and know little about.

While many of us are concerned about the aspects of Google we don’t see — the parts that threaten our privacy, or monopolize the web — there’s no denying that Google offers some amazing products and tools, many of them free, all from the convenience of a single login.

Today we’re going to take a look at 12 tools from Google that really do bring something positive to the table.

1. Polymer

Polymer is an open-source JavaScript library from Google for building web applications using Web Components. The platform comes with a ton of libraries and tools to help designers and developers unlock the web’s potential by taking advantage of features like HTTP/2, Web Components, and Service Workers.

The main feature of Polymer is Web Components. With Web Components, you can share custom elements to any site, work seamlessly with any browser’s built-in elements, and effectively use frameworks of all kinds. Products like LitElement (a simple base class for creating fast, lightweight web components) and PWA Starter Kit make Polymer easy to use. If you like, you can build your app entirely out of Web Components.

2. Lighthouse

Google Lighthouse is an open-source, automated tool for improving the quality of web pages. The software allows you to audit web pages for performance, SEO, accessibility, and more. You can run Lighthouse using ChromeDevTools, directly from the command line, or as a Node module.

To use Lighthouse in Google Chrome, just go to the URL you want to audit (you can audit any URL on the web), open ChromeDevTools, and click the Audits tab. After you have run the audit, Lighthouse will give you an in-depth report on the web page.

With these reports, you will see which parts of your web page you need to optimize. Each report has a reference doc that explains why that audit is important and also shows you the steps you can take to fix it.

You can also use Lighthouse CL to prevent regression on your sites. Using Lighthouse Viewer, you can view and share reports online. You can also share reports as JSON or GitHub Gists.

Lighthouse also comes with a feature called Stack Packs that allows Lighthouse to detect what platform a site is built on. It also displays specific stack-based recommendations.

3. Google Analytics

Google Analytics is the gold standard of analytics services. Google analytics can be installed on your site for free with a small amount of JavaScript and allows you to see all kinds of details about your site visitors, like what browser they’re using, and where they’re from.

By using Google Analytics you can make decisions about your site based on science, and therefore be somewhat confident that the decisions you make will result in the outcome you are expecting.

4. Flutter

Flutter is Google’s UI toolkit for building natively compiled applications for mobile, web, and desktop from a single codebase. The toolkit is open source and free to use. The best part of Flutter is that it works with existing code.

The toolkit has a layered architecture that allows for full customization, which results in fast rendering and flexible designs. It also comes with fully-customizable widgets that allow you to build native interfaces in minutes. With these widgets, you will be able to add platform features such as scrolling, navigation, icons, and fonts to provide a full native performance on both iOS and Android.

Flutter also has a feature called hot reload that allows you to easily build UIs, add new features, and fix bugs faster. You can also compile Flutter code to native ARM machine code using Dart native compilers.

5. Google API Explorer

Google has a huge library of APIs that are available to developers but finding these APIs can be difficult. Google API Explorer makes it easy for developers to locate any API. On the Google API Explorer web page, you will see a complete list of the entire API library. You can easily scroll through the list or use the search box to filter through the API list.

The best part of Google API Explorer is that each link to a reference page comes with more details on how to use the API. API Explorer is an excellent way to try out methods in the Monitoring API without having to write any code.

6. Puppeteer

Puppeteer is a project from the Google Chrome team. The platform enables web developers to control a Chrome (or any other Chrome DevTools Protocol based browser) and execute common actions, much like in a real browser. Puppeteer is also a Node library and it provides a high-level API for working with headless Chrome. It is also a useful tool for scraping, testing, and automating web pages.

Here are some things you can do with Puppeteer: generate screenshots and PDFs of pages, UI testing, test Chrome Extensions, automate form submission, generate pre-rendered content, and crawl Single-Page Applications.

7. Codelabs

Google Developer Codelabs is a handy tool for beginner developers and even advanced developers who want to improve their knowledge. Codelabs provide a guided, tutorial, hands-on coding experience. Codelabs’ site is broken down into several tutorial sessions on different topics.

With the tutorials on Codelabs, you can learn how to build applications from scratch. Some of the tutorial categories include Augmented reality, TensorFlow, Analytics, Virtual Analytics, G Suite, Search, Google Compute Engine, and Google APIs on iOS.

8. Color Tool

Color Tool makes it easy for web designers to create, share, and apply colors to their UI. It also measures the accessibility level for any color combination before exporting to the palette. The tool comes with 6 user interfaces and offers over 250 colors to choose from.

The tool is also very easy to use. All you need to do is pick a color and apply it to the primary color scheme; switch to the secondary color scheme, and pick another color. You can also switch to Custom to pick your own colors. After you have selected all your colors, use the Accessibility feature to check if all is good before exporting it to your palette.

9. Workbox

Workbox is a set of JavaScript libraries and Node modules. The JavaScript libraries make it easy to add offline support to web apps. The Node modules make it easy to cache assets and offer other features to help users build Progressive Web Apps. Some of these features include pre-caching, runtime caching, request routing, background sync, debugging, and greater flexibility than sw-precache and sw-toolbox.

With Workbox, you can add a quick rule that enables you to cache Google fonts, images, JavaScript, and CSS files. Caching these files will make your web page to run faster and also consume less storage. You can also pre-cache your files in your web app using their CLI, Node module, or webpack plugin.

10. PageSpeed Insights

PageSpeed Insights is a handy tool from Google Developers that analyzes the content of a web page, then generates suggestions on how to make the page faster. It gives reports on the performance of a web page on both desktop and mobile devices. At the top of the report, PageSpeed Insights provides a score that summarizes the page’s performance.

11. AMP on Google

AMP pages load faster and also look better than standard HTML pages on mobile devices. AMP on Google allows you to enhance your AMP pages across Google. It is a web component framework that allows you to create user-first websites, ads, emails, and stories. One benefit of AMP is that it allows your web pages to load almost instantly across all devices and platforms hence improving the user’s experience.

12. Window Resizer

When creating websites, it is important that developers test them for responsive design – this is where Window Resizer comes in. Window Resizer is a Chrome extension that resizes the browser window so that you can test your responsive design on different screen resolutions. The common screen sizes offered are desktop, laptop, and mobile, but you can also add custom screen sizes.

Featured image via Unsplash.

Source

28 août 2020/par Service comm.

Real-Time Machine Learning With TensorFlow in Data Collector

Actualités, Méthodes et organisation des process IT

The real value of a modern DataOps platform is realized only when business users and applications are able to access raw and aggregated data from a range of sources, and produce data-driven insights in a timely manner. And with Machine Learning (ML), analysts and data scientists can leverage historical data to help make better, data-driven business decisions-offline and in real-time using technologies such as TensorFlow.

In this post, you will learn how to use TensorFlow (TF) models for prediction and classification using the newly released TensorFlow Evaluator* in StreamSets Data Collector 3.5.0 and StreamSets Data Collector Edge.

Actualités, Méthodes et organisation des process IT

13 mai 2020/par Service comm.

Fake News’ Foe: Machine Learning and Twilio

Fake news has become a huge issue in our digitally-connected world and it is no longer limited to little squabbles — fake news spreads like wildfire and is impacting millions of people every day.

How do you deal with such a sensitive issue? Countless articles are being churned out every day on the internet — how do you tell real from fake? It’s not as easy as turning to a simple fact-checker which is typically built on a story-by-story basis. As developers, can we turn to machine learning?

Actualités, Méthodes et organisation des process IT

8 mai 2020/par Service comm.

TensorFlow vs. PyTorch vs. Keras for NLP

Before beginning a feature comparison between TensorFlow, PyTorch, and Keras, let’s cover some soft, non-competitive differences between them.

Non-competitive facts:

Below, we present some differences between the 3 that should serve as an introduction to TensorFlow, PyTorch, and Keras. These differences aren’t written in the spirit of comparing one with the other but with a spirit of introducing the subject of our discussion in this article.

8 août 2019/par Service comm.

Top 10 Machine Learning, Deep Learning, and Data Science Courses for Beginners (Python and R)

Data Science, Machine Learning, Deep Learning, and Artificial Intelligence are really hot at this moment and offering a lucrative career to programmers with high pay and exciting work. It’s a great opportunity for programmers who are willing to learn these new skills and upgrade themselves. It’s also important from the job perspective because Robots and Bots are getting smarter day by day, thanks to these technologies and most likely will take over some of the jobs which many programmers do today. Hence, it’s important for software engineers and developers to upgrade themselves with these skills. Programmers with these skills are also commanding significantly higher salaries as data science is revolutionizing the world around us. Machine Learning specialist is one of the top paid technical jobs in the world. However, most developers and IT professionals are yet to learn these valuable set of skills.

For those, who don’t know what is a Data Science, Machine Learning, or Deep Learning, they are very related terms with all pointing towards machine doing jobs which is only possible for humans till date and analyzing the huge set of data collected by modern day application.

12 novembre 2018/0 Commentaires/par Service comm.

Why TensorFlow Is so Popular

Features of Tensorflow

Below, we are discussing some important TensorFlow Features.

Responsive Construct

With TensorFlow, we can easily visualize each and every part of the graph, which is not an option while using Numpy or SciKit.

21 octobre 2018/0 Commentaires/par Service comm.

Build a Fully Functioning App Leveraging Machine Learning with TensorFlow.js

TensorFlow.js is a JavaScript library for training and deploying Machine Learning (ML) models in the browser (client-side) and on Node.js (server-side). In this article, I want to describe my experience in building an App (that I recently published on Google Play Store) with this javascript ML library.

However, instead of just going straight into how I built this app using TensorFlow.js, I want to first describe the conditions/needs that led to this choice. I also want to touch a little bit on some other approaches that I realized could be possible that you can take to build an App leveraging machine learning. Finally, I want to leave behind some lessons I learned through this experience and would love your thoughts if you have been experimenting with ML in Apps.

16 octobre 2018/0 Commentaires/par Service comm.

Training TensorFlow Object Detection Models

TensorFlow Object Detection is a powerful technology that can recognize different objects in images, including their positions. The trained Object Detection models can be run on mobile and edge devices to execute predictions very quickly. I’ve used this technology to build a demo where Anki Overdrive cars and obstacles are detected via an iOS app. When obstacles are detected, the cars are stopped automatically.

Check out the short video (only 2 mins) for a quick demo.