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Audio classification is one of the most common and most explored tasks in the field of audio processing. It’s the foundation of many apps that enable users to automatically identify artists, instruments, or simply recognize someone’s voice. How does the algorithm work in practice? We had a chance to implement audio processing with machine learning on iOS and Android mobile devices. See how our journey went.
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Exporting your designs with Zeplin is nothing particularly difficult. Once someone shows you the right way to do it, you will be a master. Therefore, I am happy to present you with the proper way of handling the handover. After reading this article you will know everything about Zeplin. Without any further ado, let’s get started!
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25,000 analyzed photos, 10 more weeks, 6 new Machine Learning models, and even more hard work of development teams, topped with AR engines and Machine Learning technology. That's our recipe for improving our Machine Learning model! Welcome to the second part of our journey with CarLens, where we are going through all the methods that we used for improving our Machine Learning model. How did the model’s performance change? Read on to see our results with detailed charts. In case you missed the first one, make sure you read this article too.
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How to win in the financial world with the fintech expansion in full bloom? One of the largest UK banks decided to pull out the biggest guns - Lloyds Banking Group is investing more than £3bn in transforming the company and scouting talent from the digital world.
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Uber for machine learning, the ultimate case law database, and AI assistant that will solve the worst nightmare of every workplace - meet the top 10 NYC startups that originated at Work-Bench.
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How about a fintech evening in the heart of NYC, one of the strongest fintech hubs in the world? What started as a mere thought ended up being the most successful event in our Disruption Forum series - with over 200 attendees that joined Netguru in Manhattan to hear tips from executives of top fintech companies.
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Have you ever wondered what steps you should take first to dive deep into the Machine Learning world? You can consider various scenarios – including academia classes, online tutorials, and reading books. All of these approaches have their special benefits and may help you become an AI Engineer. On the other hand, it is often said that the learning process is at its best when done hands-on.
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Choosing the right framework is one of the most important factors when you’re planning a new app. In the past there weren’t many options to choose from, developers were stuck with building native applications, using either Java or Android SDK for Android, or Swift for iOS. Nowadays, there are many cross-platform development frameworks available. However, this means that you have to make an important choice before you pick one. This won’t be easy and you will need to consider at least two factors.
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7 Reasons Why You Should Go for Native App Development

These days, if you have a business idea, it’s very likely that it involves developing an app. No wonder, as apps outpace websites in many areas, like personalization, notifications, speed and potential features... just to name a few.
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To be useful, an app needs to communicate its ideas clearly, both within the UI and in the marketing material. Making sure the visual experience you deliver is well-crafted, coherent and attention-grabbing can have a positive impact on building your brand, improving relationships with users, and boosting sales. One of the best ways to do it is by using custom illustrations to distinguish your company from others. Take a look at our list of seven areas in which illustrations can help your business.
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