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10,923 analysed photos, 10 weeks, and hard work of design and development teams, topped with AR engines and Machine Learning technology. That's our recipe for building a precise algorithm that will detect 5 car models using your smartphone’s camera. Here's more on our journey to create a fun tool with cutting-edge solutions.
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Python is so good that, instead of describing what it can do, it’s actually faster to say what Python can’t do. Python is good for a little bit of everything.
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Businesses reached the point where they’re aware of the importance of user experience - I think I don’t need to convince you that, if you want to have an successful app, you need to focus your activities on meeting your user’s needs, as well as enable them to achieve their goals and address their pain points. Here are few ways that will help you achieve a better user experience which your users will appreciate in the long run.
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They say: “Keep your friends close, and your enemies even closer”. And that’s what biggest Swedish banks had no choice but to do after the fintech start-up Tink hacked their systems and launched an app loved by thousands.
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Including machine learning (ML) capabilities can add a lot of value to your product. Today’s customers expect applications to be tailored to their precise needs, and machine learning is increasingly becoming the go-to solution.
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Since many businesses want to make use of AI in order to scale up or take their start-up off the ground, it is crucial to realize one thing: the technology they choose to work with must be paired with an adequate deep learning framework, especially because each framework serves a different purpose. Finding that perfect fit is essential in terms of smooth and fast business development, as well as successful deployment.
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Machine learning is one of the hottest topics in modern software development. Still, it is a fairly young technology, which is undergoing rapid change and development. We wrote this article to aid you in selecting the right flavor of ML for your project, showcasing the top frameworks along with their upsides and shortcomings.
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Since its first release in 2015, React Native has been gaining more and more popularity. Its community is growing, and a lots of people are starting to write mobile applications using RN - including some big players like Facebook & Instagram (obvious ones), Skype, Pinterest, Uber etc (find more here). We decided to gather the top resources dealing with React Native created by the vibrant community within the last few years and share them with you.
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Serverless Development: The Future Looks Bright

The recent news about Serverless Inc., the company behind the Serverless Framework, getting 10M$ Series A funding assured many that serverless is still growing since the inception of the term around 2014. With many technologies, it is not only how well it works that makes developers use it. The confidence in the product is just as important.
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10 Nagging React Native Questions Answered

React Native still evokes many questions. Quora is a good place to find some answers concerning this topic. So taking into consideration our love for RN and our desire to help others, we decided to answer 10 most nagging questions. Here you can find small pieces of RN knowledge summarized in this handy post.
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