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Analyser et Classer le Sentiment des Textes en Java

Découvrez comment analyser et classer le sentiment des textes en Java grâce à cet article ! Nous allons vous guider pas à pas pour vous aider à maîtriser cette technique.

L’empathie mutuelle joue un rôle clé dans la définition du succès de la relation entre une entreprise et ses clients

De la même manière que l’empathie mutuelle définit le développement de relations à long terme avec nos amis, elle joue également un rôle clé dans la définition du succès de la relation de notre entreprise avec ses clients. Lorsque les clients prennent le temps de taper leurs pensées et leurs sentiments dans une critique d’un produit ou d’un service, partager leurs sentiments via une plate-forme de médias sociaux ou fournir des commentaires via un médium similaire, il est de notre devoir d’éprouver de l’empathie pour eux en tant qu’êtres humains et de déterminer collectivement comment ils se sentent par rapport à ce qu’ils ont vécu. En utilisant des solutions programmatiques, nous pouvons rapidement analyser et ensuite ajuster (ou maintenir) l’expérience que nous offrons à nos clients à grande échelle, améliorant efficacement les relations des clients avec notre marque.

Bien sûr, contrairement au cerveau humain, les ordinateurs ne sont pas élevés et socialisés pour tirer des conclusions émotionnelles spécifiques d’une langue humaine en évolution. Ils doivent être formés pour le faire – et c’est là que le domaine de l’analyse et de la classification des sentiments entre en jeu. En utilisant des techniques de traitement du langage naturel (NLP), nous pouvons former des algorithmes d’apprentissage automatique pour analyser et classer des sentiments uniques dans le texte. Ces algorithmes peuvent être entraînés sur des jeux de données étiquetés qui contiennent des exemples de phrases et de leurs sentiments associés. Une fois entraînés, ces algorithmes peuvent être appliqués à des données non étiquetées pour prédire le sentiment associé à chaque phrase.

Les algorithmes d’analyse et de classification des sentiments peuvent être utilisés pour comprendre les sentiments des clients à l’égard de votre marque, produit ou service. Les données collectées peuvent être analysées pour déterminer si les clients sont satisfaits ou insatisfaits, et pourquoi. Les données peuvent également être utilisées pour identifier les points forts et les points faibles du produit ou du service, ainsi que pour comprendre les tendances et les préférences des clients. Les données peuvent également être utilisées pour améliorer l’expérience client en répondant aux besoins et aux préférences des clients. Enfin, les données peuvent être utilisées pour aider à développer des stratégies marketing plus efficaces et plus ciblées.

Source de l’article sur DZONE

User Experience is a crucial consideration for any web developer or designer; the only way to ensure that you’re delivering a successful website is to ensure that the end-user or customer will feel comfortable using it. 

A strong user experience increases your client’s chances of successful audience engagement and conversions.

What you might not realize, however, is that the strategies you use to enhance UX as a web developer or designer can also influence how the search engines respond to a website. 

Though many designers assume that SEO (Search Engine Optimization) is the work of a copywriter or content producer, there are design elements to consider too. 

After all, the definition of optimization is “the action of making the best version of a resource.”

So, how are UX and SEO connected?

Adding UX to a Successful SEO Strategy

SEO used to be easy. To stand out on the search results, you just needed to stuff a page full of as many keywords and phrases as possible. Now, it’s a little more complicated. 

Leaders in search engine development, like Google and Bing, know that they need to offer their customers excellent experiences to keep them. In this new experience-focused landscape, SEO and UX share common goals. 

Search engines don’t just want to provide customers with any answers to their questions. Instead, Google and its competitors are using everything from artificial intelligence to machine learning algorithms to ensure that search results are accurate, relevant, and engaging. 

In the same way, user experience is about providing users with easy access to the information and resources they want. 

Now that SEO is a multi-disciplined approach, UX is just one of the essential tools that makes it possible for developers to optimize their websites properly. 

Where UX Developers Influence SEO 

There are plenty of connections between UX and site indexability

We all know that since 2018, site speed has become a crucial ranking factor for companies in search of better search results. As a developer, it’s up to you to ensure that there aren’t too many elements weighing a website down that would prevent it from delivering fast results. 

Bounce rate is another critical factor in search engine ranking algorithms. When customers click on a website, Google wants to see that they get the answers they want. If your navigation is difficult to understand, or the correct information isn’t easy to see on a page, end-users will just hit the back button. 

Let’s take a closer look at how developers can influence SEO with their UX strategies. 

1. Site Navigation and Ease of Use

It’s no secret that today’s digital consumers crave easy-to-use sites.

A complex website with pages ranking for different terms might seem like an excellent idea for SEO. However, from a UX perspective, the easier it is to navigate your website, the more your end-users will benefit. 

According to a study from Ahrefs, well-optimized pages that rank for several keywords can be more beneficial than dozens of pages ranking for similar terms. At the same time, if the search engines have difficulty crawling all your pages due to a poor site navigation strategy, then some pages won’t get indexed. 

So, how do you improve navigation and SEO at once? Follow the proper structure for your site first, categories and subcategories on the retail page help customers find exactly what they need. A solid internal linking structure allows the crawlers to examine your website and index each essential page individually.

Keep navigation simple when designing a website for both UX and SEO potential. 

2. User-Friendly Page Layouts

There are countless cases where poor layout design and formatting disrupts SEO potential. For example, cluttering a page with too much information makes it tougher to read and index. At the same time, if your pages aren’t attractive and easy to navigate, customers are more likely to hit the back button. 

If customers come to a website and immediately leave it again, this tells the search engines that they’re not finding what they need on those pages. That means Google will bump you to a lower position on the SERPs. 

So, how do you make your layouts more UX and SEO-friendly?

  • Get your category pages right: Say you’re creating a blog page for your client. They want to list all of their blogs on one main page while linking to separate locations for each article. A design that puts a large chunk of content from each blog on the main page can be problematic for UX and SEO. It means your customers have to scroll further to find what they need. At the same time, the search engines never know which words to rank that main page for. On the other hand, listing blogs on smaller cards, as Fabrik does in this example, makes sorting through content easier. 
  • Leverage headers and tags: Your customers and the search engines habitually “scan” your pages. When trying to improve UX and SEO simultaneously, you must ensure that it’s easy to find crucial information quickly. Header 1 or H1 tags can help by showing your audience your website’s critical sections. Title tags also give search engines more information on the term you want to rank for. Organizing your content into a structure that draws the eye down the page also means your customers are more likely to stay on your website for longer. That shows the search engines that you have quality, relevant content. 
  • Make the most of images and videos: Visual media isn’t just an excellent way to engage your audience. With videos and pictures, you can convey more vital information in a quick and convenient format. This leads to greater satisfaction from your audience from a UX perspective. However, visual content is also great for SEO. You can optimize every image with alt text and meta descriptions. That means you have a higher chance of ranking both in the main search results and the image searches on Google. 

3. Using Search Data to Inform Site Architecture

Today, SEO is less about building hundreds of landing pages for individual queries. Now, it’s more important to take a simple, de-cluttered approach with your website. SEO can determine what kind of architecture you need to create for a successful website. 

For instance, say you wanted to rank for eCommerce SEO. There are tons of related words that connect to that primary search term. Rather than making dozens of different pages that try to rank for distinct phrases, you can cover a lot of other ideas at once with a larger, more detailed piece of content. 

If a topic is too big to cover everything on a single page, then you might decide to create something called “pillar” content out of your main terms. This involves using one main page where you discuss all of the topics you will cover. Then, you design several smaller sub-pages that link back to that central pillar. 

Once again, this helps the search engines to navigate your website and index your pages while assisting the customers in finding the correct information. At the same time, you combine more pages on a website and remove anything that might be detracting from your site’s authority or not offering enough value. 

4. Improving Website SERP Listings

It’s easy to forget as a developer that a customer’s first experience with a website won’t always happen on that site’s homepage. Usually, when your customers are looking for solutions to a problem, they’ll find your website on the search engine results instead. 

This means that you need to ensure that you make the right impression here:

There are a few ways that developers can ensure the search engine listings they create for their clients are up to scratch. For instance, a reasonable title tag for each page that includes appropriate keywords is excellent for SEO and UX. A title tag lets your customers know they’re in the right place and helps them find the information they need. 

Remember, around eight out of ten users on search engines say that they’ll click a title if it’s compelling. 

Another component you have control over as a developer or designer is the “rich snippet.” Rich snippets are the informative chunks of content that Google adds to a search listing to help it stand out. You can use rich snippet plugins on a website to tell Google what kind of extra information you want to include on a page. 

For instance, you might want a company’s ratings to show up on your search results, so customers can see how trustworthy they are:

5. Local Business Rankings

When you’re creating a website for a company, it’s easy to forget about local rankings. We see the digital world as a way of reaching countless people worldwide. Local orders are easier to overlook when you have a global scope to work with. 

However, as a developer, you can boost a company’s chances of attracting the right local audience and boosting its credibility. For instance, you can start by ensuring that the correct directory information appears on your client’s website and social media profiles.

Another option is to create dedicated location pages for each area the company serves. This will make it easier for clients to find the contact details they need for their specific location. 

At the same time, pages that have been carefully optimized to rank for specific locations will earn more attention, specifically from search engines. The more of the search engine landscape your client can cover, the more chances they have to attract new customers and leads. 

Combing SEO and UX

In a world where experience is crucial for every business, it’s no wonder that UX and SEO are blending more closely together. There are a lot of areas where SEO and UX work in harmony together if you know where to find them. Improving your client’s SEO ranking with UX doesn’t just mean ensuring that their pages load quickly anymore. 

Simple strategies, like making sure a call-to-action button is clickable on a mobile page, can simultaneously boost a website’s UX potential and SEO performance. At the same time, adding images and alt text to a website provides search engines with more information while adding context to your content. 

The key to success is understanding how SEO and UX work together. If you look at SEO and UX as part of the same comprehensive strategy to give end-users a better online experience, achieving the right design goals is much easier. 

Of course, just like any strategy, it’s also worth making sure that you take the time to track the results of your UX and SEO campaigns. Examine which systems help you, and examine customers from an SEO perspective with design and development strategies.

 

Features image by gstudioimagen on Freepik

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The post 5 Ways That UX Developers Influence SEO  first appeared on Webdesigner Depot.

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Python is a robust object-oriented programming (OOP) language that finds a lot of use in the field of artificial intelligence. It is so useful that mega tech companies like Google have made libraries such as Tensorflow to help people to leverage powerful machine learning algorithms and models for various purposes.

People have made ‘sign language’ interpreters, Motorcyclist helmet detectors, and item identifiers using Python and its free libraries.

Source de l’article sur DZONE


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 DZONE


WordPress is by far the world’s most popular CMS. Not only does it dominate the CMS market with a 64% market share, but it also powers 39.6% of all websites. It has taken the internet by storm by democratizing the web for all. Now, anyone can build, manage, and host a successful website without needing a college degree or coding expertise.

However, while WordPress is great at managing many technical aspects, it still can’t do everything for you. Built mostly on PHP, there are often concerns regarding how performant WordPress is. And, with performance impacting everything from bounce rates to SEO rankings to conversions, it’s something that should be on your radar too.

If you don’t know it yet, images are one of the main causes of slow-loading websites. In recent years, WordPress has stepped up its efforts to try and help users with image optimization out-of-the-box.

Still, as we’ll show, it’s not a total solution, and there is still plenty you can do to deliver better experiences on your WordPress website through image optimization.

What is WordPress Image Optimization? Why is it Important?

Simply put, image optimization is anything you do to make images load faster on your website pages. Almost all websites that use images can benefit from some form of image optimization, even those using WordPress.

Why?

Well, performance is a hugely significant factor when it comes to the competitiveness of your website today.

Google has also made performance an increasingly important factor when it comes to SEO rankings. In fact, performance is a direct ranking signal that carries significant weight.

Google’s Page Experience Update that went live in 2021 has been the biggest move in that direction yet. Soon, Google might even use visual indicators in SERP results to distinguish high-performing websites from the rest.

In Google’s own words, “These signals measure how users perceive the experience of interacting with a web page and contribute to our ongoing work to ensure people get the most helpful and enjoyable experiences from the web.”

So, Why Should We Target Images For Performance Optimization?

According to Google, images are the largest contributor to page weight. Google has also singled out image optimization specifically as the factor with the most untapped potential for performance optimization.

This problem isn’t going away soon. According to data by the HTTP Archive, there are roughly 967.5 KB bytes of image data on desktop web pages and 866.3 KB of image data on mobile pages. This is an increase of 16.1% and 38.8%, respectively, over the last five years.

Thanks to popular e-commerce tools like Woocommerce, it’s estimated that up to 28% of all online sales happen on WordPress websites.

And don’t forget, images are both a key part of conveying information to the user and integral to the design of your website. If they take significantly longer to load than your text, for example, it will negatively impact the user experience in a variety of ways.

In summary, optimized images help your WordPress website by:

  • Improving user satisfaction.
  • Improving various traffic metrics, like bounce rates, time-on-page, etc.
  • Boosting your SEO rankings.
  • Contributing to higher conversions (and sales).

How Does Image Optimization in WordPress Work?

WordPress is so popular because it’s a CMS (content management system) that allows anyone to build, design, and manage a website without any coding or advanced technical experience. Advanced features can be installed with just a few clicks, thanks to plugins, and you rarely have to touch the code behind your website unless you want to make some unique modifications.

In short, using a CMS like WordPress shields you from many of the day-to-day technicalities of running a website.

WordPress Image Optimization: What It Can Do

As we mentioned, one of the main reasons WordPress is so popular is because it takes care of many of the technical aspects of running a website. With that in mind, many think that WordPress should also automatically take care of image optimization without them having to get involved at all.

Unfortunately, that’s not really the case.

True, WordPress does offer some built-in image optimization. Whenever you upload an image to WordPress, it currently compresses the quality to about 82% of the original (since v4.5).

In v4.4, WordPress also introduced responsive image syntax using the srcset attribute. This creates four breakpoints for each image you upload according to the default WordPress image sizes:

  • 150px square for thumbnails
  • 300px width for medium images
  • 768px max-width for medium_large images
  • 1024px max-width for large images.

Here you can see an example of the actual responsive syntax code generated by WordPress:

<img loading="lazy" src="https://bleedingcosmos.com/wp-content/uploads/2021/12/33-1024x683.jpg" alt="" class="wp-image-9" width="610" height="406" srcset="https://bleedingcosmos.com/wp-content/uploads/2021/12/33-1024x683.jpg 1024w, https://bleedingcosmos.com/wp-content/uploads/2021/12/33-300x200.jpg 300w, https://bleedingcosmos.com/wp-content/uploads/2021/12/33-768x512.jpg 768w, https://bleedingcosmos.com/wp-content/uploads/2021/12/33-1536x1024.jpg 1536w" sizes="(max-width: 610px) 100vw, 610px">

Depending on the screen size of the device from which a user visits your webpage, WordPress will let the browser pick the most appropriately sized image. For example, the smallest version for mobile displays or the largest for 4K Retina screens, like those of a Mac.

While this may seem impressive, it’s only a fraction of what can be achieved using a proper image optimization solution, as we’ll show later.

Lastly, WordPress implemented HTML native default lazy loading for all images starting with version 5.5.

So, in short, WordPress offers the following image optimization capabilities baked-in:

  • Quality compression (limited)
  • Responsive syntax (up to 4 breakpoints)
  • Lazy loading

WordPress Image Optimization: What it Cannot Do

There are other issues many have with both the implementation of image compression and responsive syntax as it’s used by WordPress. This leads to some users even purposefully deactivating WordPress’ built-in image optimization so they can fully take control of it themselves.

Here are some of the reasons why:

  • WordPress uses a very basic form of quality compression. It does not use advanced technologies like AI and machine learning algorithms to compress images while maintaining maximum visual quality. It’s also lossy compression, so the quality is lost for good. You can clearly see the difference between an original HD image and the compressed version created by WordPress.
  • WordPress only compresses most images by up to 20%, while advanced image optimization tools can reduce all image sizes intelligently by up to 80%.
  • Responsive syntax can provide significant performance improvements over simply uploading a single HD image to be served on all devices and screens. However, it’s still only limited to a set number of breakpoints (typically 3 or 4). Since it’s not dynamic, a whole spectrum of possible image sizes is not created or used.
  • Responsive syntax code is not scalable and can quickly lead to code that’s bloated, messy, and hard to read.
  • WordPress doesn’t accelerate image delivery by automatically caching and serving them via a global CDN, although this can be done using other tools.

Another important optimization feature that WordPress does not have is auto-conversion to next-gen image file formats. Different image formats offer different performance benefits on different devices. Some formats also enable higher levels of compression while maintaining visual fidelity.

Next-gen formats like WebP, AVIF, and JPEG-2000 are considered to be the most optimal formats on compatible devices. For example, until recently, WebP would be the optimal choice on Chrome browsers, while JPEG-4000 would be optimal on Safari browsers.

However, WordPress will simply serve images in the same formats in which they were originally uploaded to all visitors.

How to Measure the Image Performance of a WordPress Website?

As the undisputed king of search engines, we’ll base most of our performance metrics on guidelines established by Google.

Along with its various performance updates, Google has released a number of guidelines for developers as well as the tools to test and improve their websites according to said guidelines.

Google introduced Core Web Vitals as the primary metrics for measuring a web page’s performance and its effect on the user experience. Thus, Core Web Vitals are referred to as “user-centric performance metrics.” They are an attempt to give developers a testable and quantifiable way to measure an elusive and abstract concept such as “user experience.”

Combined with a number of other factors, Core Web Vitals constitute a major part of the overall page experience signal:

You can find a complete introduction to Core Web Vitals here. However, they currently consist of three main metrics:

  • LCP (Largest Contentful Paint): The time it takes the largest above-the-fold element on your page to load. This is typically a full-sized image or hero section.
  • FID (First Input Delay): The delay from the moment a user first interacts with an element on the page until it becomes responsive.
  • CLS (Cumulative Layout Shift): The visual stability with which the elements on a page load.

Here is an illustration of how these metrics are scored:

While these are the three most important metrics to optimize, they are not the only ones. Google still measures other metrics like the FCP (First Contentful Paint), SI (Speed Index), as well as the TTFB (Time to First Byte), TBT (Total Blocking Time), and TTI (Time to Interactive).

A number of these metrics are directly affected by the images used on your web pages. For example, LCP, FCP, and SI are direct indicators of how fast the content of your web page loads and depends on the overall byte size of the page. However, it can also indirectly affect FID by keeping the main thread busy with rendering large amounts of image content or the perceived CLS by delaying the time it takes large images to load.

These metrics apply to all websites, whether they are custom-made or built using a CMS like WordPress.

When using tools like Lighthouse or PageSpeed Insights, you’ll also get scored based on other flags Google deems important. Some of them are specific to images, such as properly sizing images and serving images in next-gen formats.

If you only use built-in WordPress image optimization, you’ll get flagged for the following opportunities for improvement:

Some of the audits it will pass, however, are deferring offscreen images (lazy loading) and efficiently coding images (due to compression):

A Better Way to Optimize WordPress Images: ImageEngine

Billions of websites are all vying for prime real estate on Google SERPs, as well as the attention of an increasingly fussy internet-using public. Every inch matters when it comes to giving your website a competitive advantage.

So, how can you eliminate those remaining performance flags and deliver highly optimized images that will keep both your visitors and Google happy?

Sure, you could manually optimize images using software like PhotoShop or GIMP. However, that will take you hours for each new batch of images. Plus, you still won’t benefit from any automated adaptive optimization.

A more reasonable solution in today’s fast-paced climate is to use a tool developed specifically for maximum image optimization: an image CDN like ImageEngine.

ImageEngine is an automated, cloud-based image optimization service using device detection as well as intelligent image compression using the power of AI and machine learning. It can reduce image payloads by up to 80% while maintaining visual quality and accelerating delivery around the world thanks to its CDN with geographically dispersed PoPs.

Why is ImageEngine Image Optimization Better Than WordPress?

When making a head-to-head comparison, here are the reasons why ImageEngine can deliver better performance:

  • Device Detection: ImageEngine features built-in device detection. This means it picks up what device a visitor to your website is using and tailors its optimization strategy to what’s best for that specific device.
  • Client hints: By supporting client hints, ImageEngine has access to even more information regarding the device and browser to make better optimization decisions.
  • Next-gen formats: Based on optimal settings, ImageEngine automatically converts and serves images in next-gen formats like WebP, AVIF, JPEG2000, and MP4 (for GIFs).
  • Save data header: When a Chrome user has save-data mode enabled, ImageEngine will automatically compress images more aggressively to save on data transfer.
  • CDN with dedicated edge servers: ImageEngine will automatically cache and serve your optimized image assets using its global CDN. Each edge server has device awareness built-in to bring down latency and accelerate delivery. You can also choose to prioritize specific regions.

So, the key differentiator is that ImageEngine can tailor optimizing images for what’s optimal for each of your visitors. ImageEngine is particularly good at serving mobile visitors thanks to WURFL device detection, which can dynamically resize images according to most devices and screen sizes in use today. As of now, this is a completely unique capability that none of its competitors offer.

It allows for far better and more fine-tuned optimization than WordPress’ across-the-board approach to compression and responsive syntax.

If you want, you could turn off WordPress responsive syntax and compression, and you would still experience a performance increase using ImageEngine. However, ImageEngine also plays nice with responsive syntax, so it’s not completely necessary unless you want to serve the highest-fidelity/low-byte-size images possible.

How Does ImageEngine Work with WordPress?

The process ImageEngine uses to integrate with WordPress can be broken down into a few easy steps:

  • Sign up for an ImageEngine account: ImageEngine offers three pricing plans depending on the scale and features you need as well as a no-commitment 30-day free trial.
  • Specify your image origin: This tells ImageEngine where to find the original versions of your images. For a WordPress website, you can just use your domain, e.g., https://mywordpresswebsite.com. ImageEngine will then automatically pull the images you’ve uploaded to your WordPress website.

  • Copy the Delivery Address: After you create an account and specify your image origin, ImageEngine will provide you with a Delivery Address. A Delivery Address is your own unique address that will be used in your <img> tags to point back to the ImageEngine service. Delivery Addresses may be on a shared domain (imgeng.in) or customized using a domain that you own. A Delivery Address typically looks something like {random_string}.cdn.imgeng.in. If your images are uploaded to the default WordPress folder /wp-content/uploads/, you can access your optimized images from ImageEngine simply by changing your website domain. For example, by typing {imageengine_domain}.cdn.imgeng.in/wp-content/uploads/myimage.jpg into your browser, you’ll see the optimized version of that image. Just press the copy button next to the Delivery Address and use it in the next step configuring the plugin.

  • Install the ImageEngine Optimizer CDN plugin: The plugin is completely free and can be installed just like any other plugin from the WordPress repository.
  • Configure and enable ImageEngine Plugin in WordPress: Just go to the plugin under “ImageEngine” in the main navigation menu. Then, copy and paste in your ImageEngine “Delivery Address,” tick the “Enabled” checkbox, and click “Save Changes” to enable ImageEngine:

Now, all ImageEngine basically does is replace your WordPress website domain in image URLs with your new ImageEngine Delivery Address. This makes it a simple, lightweight, and non-interfering plugin that works great with most other plugins and themes. It also doesn’t add unnecessary complexity or weight to your WordPress website pages.

ImageEngine vs Built-in WordPress Image Optimization

So, now let’s get down to business by testing the performance improvement you can expect from using ImageEngine to optimize your image assets.

To do this test, we set up a basic WordPress page containing a number of high-quality images. I then used PageSpeed Insights and the Lighthouse Performance Calculator to get the performance scores before and after using ImageEngine.

Importantly, we conducted this test from a mobile-first perspective. Not only has mobile internet traffic surpassed desktop traffic globally, but Google themselves have committed to mobile-first indexing as a result.

Here is a PageSpeed score using the Lighthouse calculator for WordPress with no image optimization:

As we can see, both Core Web Vitals and other important metrics were flagged as “needs improvement.” Specifically, the LCP, FCP, and TBT. In this case, both the LCP and FCP were a high-res featured image at the top of the page.

If we go to the opportunities for improvement highlighted by PageSpeed, we see where the issues come from. We could still save as much as 4.2s of loading time by properly resizing images and a further 2.7s by serving them in next-gen formats:

So, now let’s see how much ImageEngine can improve on that.

The same test run on my WordPress website using ImageEngine got the following results:

As you can see, we now have a 100 PageSpeed score. I saved roughly 2.5s on the SI (~86%) as well as roughly 1.7s on the LCP (~60%). There was also a slight improvement in the FCP.

Not only will you enjoy a stronger page experience signal from Google, but this represents a tangible difference to visitors regarding the speed with which your website loads. That difference will lead to lower bounce rates, increased user satisfaction, and more conversions.

There was also a 53% overall reduction in the total image payload. This is impressive, considering that it’s on top of WordPress’ built-in compression and responsive syntax.

Conclusion

So, as someone with a WordPress website, what can you take away from this?

Well, first of all, WordPress does feature some basic image optimization. And while not perfect, it should help you offer reasonable levels of performance, even if you use a lot of image content.

However, the caveat is that WordPress applies aggressive, across-the-board compression, which will lead to a noticeable reduction in visual quality. If you use WordPress for any type of website where premium quality images are important, this is a concern — for example, as a photography portfolio, exhibition, or image marketplace like Shutterstock.

By using ImageEngine, you can reduce image payloads and accelerate delivery even further without compromising too harshly on visual quality. What’s more, ImageEngine’s adaptive image optimization technology will provide greater improvements to more of your visitors, regardless of what device(s) they use to browse the web.

Whether or not you still want to use WordPress’ built-in optimizations, ImageEngine will deliver significant improvements to your user experience, traffic metrics, and even conversions.

Plus, true to the spirit of WordPress, it’s extremely simple to set up without any advanced configuration. Just sign up for ImageEngine in 3 easy steps, install the plugin, integrate ImageEngine by copy/pasting your image domain, and you’re good to go.

 

[ This is a sponsored post on behalf of ImageEngine ]

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Today, most companies are using Python for AI and Machine Learning. With predictive analytics and pattern recognition becoming more popular than ever, Python development services are a priority for high-scale enterprises and startups. Python developers are in high-demand — mostly because of what can be achieved with the language. AI programming languages need to be powerful, scalable, and readable. Python code delivers on all three.

While there are other technology stacks available for AI-based projects, Python has turned out to be the best programming language for this purpose. It offers great libraries and frameworks for AI and Machine Learning (ML), as well as computational capabilities, statistical calculations, scientific computing, and much more. 

Source de l’article sur DZONE

Facebook and Twitter have left most other companies around the world far behind when it comes to using machine learning to improve their business model. And while their practices haven’t always resulted in the best reactions from end-users, there’s much to be learned from these companies on what to do–and what not to do–when it comes to scaling and applying data analytics.

Get the Data You Need First

While Facebook seemingly uses machine learning for everything — it is used for content detection and content integrity, sentiment analysis, speech recognition, and fraudulent account detection, as well as operating functions like facial recognition, language translation, and content search functions. The Facebook algorithm manages all this while offloading some computation to edge devices in order to reduce latency.

Source de l’article sur DZONE

Artificial intelligence which gives machines the ability to think and behave like humans are gaining traction since the last decade. These features of artificial intelligence are only there because of its ability to predict certain things accurately, these predictions are based upon one certain technology which we know as machine learning (ML). Machine learning as the name suggests is the computer’s ability to learn new things and improve its functionality over time. The main focus of machine learning is on the development of computer programs that are capable of accessing data and using it to learn for themselves. 

To implement machine learning algorithms, two programming languages, R and Python for machine learning are normally used. Generally, selecting features for training data on machine learning in python is a very complex and technical process. But here we will go over some basic techniques and details regarding what is machine learning and how it works. So, let us start by going into detail regarding what ML is, what feature selection is and how can one select feature using python.

Source de l’article sur DZONE


Introduction

In very simple language, Pattern Recognition is a type of problem while Machine Learning is a type of solution. Pattern recognition is closely related to Artificial Intelligence and Machine Learning. Pattern Recognition is an engineering application of Machine Learning. Machine Learning deals with the construction and study of systems that can learn from data, rather than follow only explicitly programmed instructions whereas Pattern recognition is the recognition of patterns and regularities in data.

  1. Machine Learning

The goal of Machine Learning is never to make "perfect" guesses because Machine Learning deals in domains where there is no such thing. The goal is to make guesses that are good enough to be useful. Machine Learning is a method of data analysis that automates analytical model building. Machine Learning is a field that uses algorithms to learn from data and make predictions. A Machine Learning algorithm then takes these examples and produces a program that does the job. Machine Learning builds heavily on statistics. For example, when we train our machine to learn, we have to give it a statistically significant random sample as training data. If the training set is not random, we run the risk of the Machine Learning patterns that aren’t actually there.

Source de l’article sur DZONE

This article illustrates how Geocoding uncovers the untapped value within generally overlooked insurance categories, such as Life and Annuity, and how it can help address modern-day business challenges remarked by Orszag. While Geocoding in Big Data is gaining prominence within Property and Casualty (P&C), we believe the real opportunity lies in the actuarial adoption of AI framework capable of processing consumable inputs that weren’t visible in the erstwhile "Ease of Geocoding" era.

Establishing this premise for Life and Annuity, we then pivot towards crafting a general purpose Geo-inclusive architecture that can help actuaries of all disciplines apply Machine Learning to solve new generation of business problems, such as, dwindling subscribers or risk-attributed challenges, such as, Adverse Selection.


Source de l’article sur DZONE (AI)