Machine Learning App
Development

in iOS11 with Core ML

Machine Learning is the Future

Want to build intelligent apps with machine learning technology? Machine Learning App Development has the power of making any mobile application more responsive and intelligent towards the needs of users. And if you think about it, Machine Learning has already reshaped the world quietly. For example, mobile app developers no longer need to perform complex tasks such as text translation or image recognition by themselves. Instead, they just need a few lines of code to build system that automatically learn how to do such tasks by itself.

Machine Learning is actually a very hot topic in the mobile space as all tech giants including Google, Microsoft, and Amazon release products with intelligent suggestions like Google Assistant, Cortana, Alexa, and Apple’s Siri, used across Apple products, including Siri, Camera, and QuickType.

In fact, Apple has also released a new framework for Machine Learning App Development during WWDC 2017. This new framework is named as Core ML and the main benefit of this framework is that it will support many essential Machine Learning tools such as tree ensembles, linear models, and neural networks. Even Core ML lets you integrate a wide variety of machine learning model types into your mobile application.

In fact, Gartner predicts that the machine learning applications will one of the top ten strategic trends in 2017.

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Funding by Artificial Intelligence Category

With that being said, by implementing machine learning language processing APIs in your mobile app development, you can easily get ahead in the growing industry by creating machine learning apps.

Top Examples of Machine Learning Based Mobile Application

Today, Machine Learning has the potential to apply critical business analysis and create machine learning applications which can refine everything from user experience to personalized content. In fact, there are hundreds of examples of mobile apps using machine learning.

Facebook, Youtube, Shazam are the top examples to name a few. The “People You May Know” and “Suggested Pages” that we see on Facebook are nothing but result of Machine Learning algorithm implementation. In fact, there are many other machine learning applications which are not that well-known, but have used Machine learning in its development. And one such app is Oval Money.

Oval Money is an expense tracking app which analyzes user’s previous transactions and offers him better ways to avoid extra spending. Point is, there are many ways to use machine learning API in mobile apps.

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How Much Does it Cost to Develop a Machine Learning Application?

One of the most difficult hurdles when integrating machine learning features like face tracking, face detection, landmarks, text detection, rectangle detection, bar code detection, object tracking, and image registration into your app is its cost.

Now we understand that mobile apps are not an experiment you can play around with and see how your targeted market responds. But, the future of businesses is mobility, and the businesses that fully embrace the power of mobile apps and new technologies such as Augmented Reality, Virtual Reality, and Machine Learning will thrive in the market in the months and years to come.

And as far as cost is concerned, the cost of any mobile app development comes down to hours. Top mobile app development companies provide their estimates based on the number of hours they need to develop your mobile application.

Similarly, the cost to build your apps with the ready-to-use Core ML models depends on the same way. Every feature your app incorporates requires a certain number of design, programming, project management, QA, and revision hours. This means, the more features you want in your mobile app, the more hours required. And the more the app development will cost.

How to use Machine Learning to Build Intelligent Mobile Apps?

Currently, machine learning applications are getting widely popular. Using Machine Learning APIs in mobile apps, people are just a tap away to carry out a job. In fact, with the release of Core ML framework, Apple has opened up a whole new class of mobile app possibilities.

But, apart from all of these, what makes mobile the right platform for Machine Learning App Development is the dynamic array of personalization capabilities. Smartphones of today are aware of user locations and outside world, so by integrating Core ML features in your iOS app you can make it more personalized and relevant.

Moreover, enterprises and businesses can use Core ML features to their advantage in many different aspects such as product search, trend analytics, product promotions, fraud detection, and much more.

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Why Space-O Technologies?

As mentioned earlier that other than the tech giants like Amazon, Google, and Apple, many small businesses as well as enterprises have started investing in developing Machine Learning Apps. So, in order to stay in the competition, the best way to get your Machine Learning mobile app developed and launched in the market is by hiring a mobile app development company.

At Space-O Technologies, we’ve already started utilizing Core ML features for Machine Learning App Development. In fact, we’ve created one image recognition app which identifies whether an image being uploaded contains any adult content or not. You can learn more about our demo from here.

Moreover, our mobile app developers are in the process of integrating similar machine learning algorithms into mobile apps to convert them into machine learning applications. So, if you want to build a mobile app for your business, or have an idea for intelligent mobile app, fill out our Contact Us form and we’ll reach out to you within 24 hours to make you mobile app idea into reality.

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CS Fundamentals & Programming

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Probability & Statistics

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Data Modeling & Evaluation

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Applying ML Algos & Libs

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Software Engg & System Design

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We really appreciate the flexibility given by Space-O Technologies. We got instant replies from them when we needed any changes in our mobile app. In fact, my team learned a lot while working with Space-O Technologies. It was an absolute pleasure working with Space-O. Thank you.Sanzio, The Chain Team
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