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It’s 2018, and we’ve gained a level of advancement in machine learning technology that no one expected this soon. Images made using algorithms don’t look artificial, retailers’ smart recommendations raise sales, and the stock market has forever been changed by predictions based on machine learning. It’s a revolution happening right before our eyes, and those late to the party might find themselves at a huge disadvantage as their business competitors leverage ML and leave everyone else in the dust.
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If you’ve been following the latest trends in technology, you’ve probably noticed that machine learning (ML) and deep learning (DL) are not just buzzwords anymore (see what is the difference between ML and DL). In fact, they’re responsible for some of the most impressive achievements in artificial intelligence so far, like the spotting of a distant eight-planet solar system or beating real humans at master-level chess. But are you also familiar with the concept of convolutional neural networks (CNNs or ConvNets), and how they contribute to AI development (see how does AI differ from ML)?
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Top 3 Machine Learning Trends in 2018

Machine Learning has been growing at an incredible pace in 2017. We’ve witnessed many breakthroughs such as AlphaGo beating the best world’s Go players, the comeback of evolution algorithms meta learning, or WaveNet generating speech that mimics any human voice. Deep Learning research has been skyrocketing since 2012, and it’s not going to stop. Carlos Perez - Co-Founder of Intuition Machine - predicts that the number of research papers related to Deep Learning will triple or even quadruple in 2018!
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Machine Learning vs. Deep Learning Explained

Machine Learning (ML) and Deep Learning (DL) are two data science terms that have become hot buzzwords in tech, business, and marketing. In fact, ML and DL are two different terms often confused for the same thing. Here’s the difference: Deep Learning is a part of Machine Learning, an advanced technique of teaching algorithms to take independent decisions, which is a part of a broader field of Artificial Intelligence.
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The power and potential of machine learning (ML) to bring huge benefits and new capabilities to mobile and web applications is remarkable. Today, more and more businesses and app developers are opting to build machine learning into their products to the extent that this once avant-garde technology is now becoming decidedly mainstream.
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Machine learning is one of the strongest trends in today's tech scene. A recent survey revealed that 61% of organizations picked machine learning as their most critical data initiative for 2018.
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Both artificial intelligence and machine learning are hot buzzwords right now. It's not surprising at all, since that’s exactly what modern technologies, such as: virtual agents, decision management, and even content creation, are starting to rely on.
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The infrastructure in cities of all sizes is evolving at a neck-breaking pace. New constructions are being built, and old ones are constantly being renovated, which requires heavy equipment such as diggers or cranes. I can imagine it might be a bit frustrating that every single photo from your city break is “embellished” with several cranes hanging above the horizon. The Sagrada Familia in Barcelona is a perfect example – do we really have to wait another ten years or so to get an Instagram-winning shot without any distractions in the background?
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Introducing Machine Learning Practice at Netguru

We’re happy to announce that we’ve kickstarted Machine Learning practice at Netguru. Matthew Opala, who became our ML Tech Lead, has dynamically grown a team of top experts in the industry.
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Over five hundred images, three days, and one team to release the first version of the application that will make our cities look prettier on photographs. Netguru and MicroscopeIT joined forces to run in an AI/ML-focused hackfest. The result? An app that can automatically remove all those pesky cranes from your cityscape pictures with a single click of a button, all thanks to Deep Learning algorithms. If you've ever been to London or Warsaw, you'll know that cranes are everywhere! Even though the app has very limited use (let's be honest, you don't actually get so many cranes in pictures, do you?), it lays a solid base for co-operation on future Machine Learning projects between the two companies.
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