The innovation that guarantees to convey gigantic changes to the world one years from now is machine learning (ML). Machine learning is a subfield of the Artificial Intelligence look into and got the most noteworthy spotlight in business. ML speaks to another period in programming improvement where PCs, contraptions and different gadgets don`t require uncommon programming to finish errands any longer. Rather, they can gather and break down data that is expected to make suitable determinations and pick up amid program execution. Presently machines can amass past involvement keeping in mind the end goal to settle on choices as it happens among individuals. Obviously, the way toward learning requires uncommon calculations that would "instruct" machines. That is the reason, at The App Solutions, we utilize machine learning in versatile application improvement. To comprehend the size of ML industry, let`s take a general viewpoint to the Artificial Intelligence showcase. As per Bank of America Merrill Lynch, throughout the following five years, the market will reach out to $153 billion contrasted with $58 billion in 2014. Wander Scanning gives an infographic that condenses the Artificial Intelligence market and shows subsidizing of each classification. The outline demonstrates that ML applications classification is driving with over $2 billion piece of the overall industry. This is three times more than the aggregate subsidizing of the following Natural Learning Processing gathering. Venture Scanning gives an infographic that summarizes the Artificial Intelligence market and shows funding of every category. The chart shows that ML applications category is leading with over $2 billion market share. This is three times more than the total funding of the next Natural Learning Processing group. ML has started from the computer, but the emerging trend shows that machine learning mobile app development is the next big thing. The modern mobile devices show the high productive capacity level that is enough to perform appropriate tasks to the same degree as traditional computers do. Also, there are some signals from global corporations that confirm this assumption:
Application of machine learning in roboticsLooking broader at robotics, engineering includes not only mechanisms but also cognitive technologies. Today we are witnessing the emergence of the era when robots assist people on work and household, take care and entertain them. And people will manage these machines with voice commands or program tool actions with only a few taps on their smartphone's screen. All it needs is a machine learning feature for correct performance in unpredictable environment. Implementation of machine learning in data miningThe field of data mining serves to analyze big data and to discover interesting, non-obvious connections within significant set of data. It consists of the data storage, maintenance and the actual analysis. Here ML provides both a set of tools and the learning algorithm to discover all possible relationships. Further in this article we will talk about how to use this technology for predictive analytics when you need to develop a mobile app with machine learning for eCommerce. Application of machine learning in financeIn finance sphere, machine learning algorithms are widely used for predicting future trends, bubbles, and crashes. For example, custom software can analyze all types of information about borrowers such as a history of previous transactions and social media activities to determine the credit rating. Or the system can bring an outcome considering portfolio optimization and send recommendations right to the smartphone. For eCommerce machine learning also opens new opportunities for revenue and improved customer experience. Such retail giants as eBay and Amazon already proved it. But these tools are available for smaller players as well. At The App Solutions, we provide eCommerce machine learning applications for our customers. These apps can be completely custom or with usage of open-source API`s and SDKs (Amazon ML API, Google Cloud Prediction API, etc.). Enterprises can use ML algorithms to their advantage in entirely different aspects of their business. READ ALSO: Do You Need a Mobile eCommerce App for Your Business?
However, the number of opportunities goes far beyond the list. Our team also provides the following machine learning for eCommerce app solutions for our business and startup clients:1
Developing mobile application for eCommerce business and providing it with ML algorithms, you get ahead in the growing industry. Shoppers are spending more and more time online on their mobile devices and expect their shopping experience to get more and more personalized and comfy. Technologies unlock a new potential for market leadership with improving every aspect of commercial workflow. - SHREE THAANUiOS 10.3 Alternate Icons: what can you do and how it works ?In the first beta of iOS 10.3, Apple introduced the ability for an application to change its icon. You could ask when it would be useful. In fact, I see different cases:
Furthermore, you cannot change the icon unbeknownst to the user. Indeed, when you change the icon, there is an alert saying You have changed the icon for "Application Name". Here is a little demonstration of this feature in action: How it worksTo show how this works, I made a dummy supporter application. You have to say which is your favorite national sports team, and it changes the app icons with theses colors. You can find the source code here on Github. So, how is it done ? DeclareFirst: you should declare all alternate icons in the info.plist file. The problem is that you should give up assets catalog for icons. Indeed, it seems not to be compatible with this feature :/. So, we should go back to the old method with simple .png resources. Everything is declared in CFBundleAlternateIcons. In this demo, it gives: <key>CFBundleIcons</key> <dict> <key>CFBundleAlternateIcons</key> <dict> <key>de</key> <dict> <key>CFBundleIconFiles</key> <array> <string>ic_de</string> </array> <key>UIPrerenderedIcon</key> <false/> </dict> <key>fr</key> <dict> <key>CFBundleIconFiles</key> <array> <string>ic_fr</string> </array> <key>UIPrerenderedIcon</key> <false/> </dict> <key>it</key> <dict> <key>CFBundleIconFiles</key> <array> <string>ic_it</string> </array> <key>UIPrerenderedIcon</key> <false/> </dict> </dict> <key>CFBundlePrimaryIcon</key> <dict> <key>CFBundleIconFiles</key> <array> <string>ic_none</string> </array> </dict> </dict>We defined 3 alternate icons:
ChangeOnce the icons are declared, we simply have to call setAlternateIconName(_:completionHandler:) on UIApplication shared instance with one of the declared icon names. For instance, if we want iticon: UIApplication.shared.setAlternateIconName("it") { (error) in if let error = error { print("err: \(error)") } }ReadIf you want to know which icon is currently set up, just read alternateIconName on UIApplication shared instance: if UIApplication.shared.alternateIconName == "it" { print("Viva italia") } else if UIApplication.shared.alternateIconName == "fr" { print("Allez les bleus!") }FutureRight now, this feature is still beta. So it might evolve in the future. Maybe Apple will allow the user to block the icon change (right now, the user is just informed, he cannot say no). Moreover, Apple did not say what is allowed, and what is not in the customization of icons. |
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Photo used under Creative Commons from nan palmero