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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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Let’s say that you’re at the very beginning of developing your app. Equipped with a solid business plan, you decide to go with Python, and you’re betting on the Django framework, ready to make the first decisions that will take this project from concept to reality. One of the most fundamental things to do at this stage is to find a Django-friendly hosting service.
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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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Many things in the digital world are born out of necessity. That is, we need to find a way to do something in a smoother, more efficient manner in order to create something of higher value.
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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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You have an idea, maybe a product, maybe a website, maybe an interesting service. Any of the above surely prompted you to start with a mobile application. A simple and obvious idea - but what’s next? You would probably want to know about the time scope and budget you will need to invest in the project, so you know whether the idea will pay off. This is where estimation comes into play.
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5 Tips for Hiring Top Node.Js Developers

Chances are that if you are reading this article, you already know that you want and need to hire top Node.js developers. Maybe you are following in the steps of Airbnb, Linkedin or NASA, the same as many smaller companies or startups do. Or perhaps you fell in love with Javascript, and to make that love is real, you have decided to use Node.js.
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Why No One Is Looking for 'Rockstar Programmers'

During my (not so) recent presentation at CareerCon I talked about the skills you need when pursuing a (web)developer career. Here are 5 points I made:
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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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One of the pillars of modern recruitment is the recent trend to combine the seemingly impossible process automation and the human 2 human candidate experience. This is especially true in IT, where talent pool is shrinking dramatically. From the first contact with a candidate, through the entire recruitment process, a properly designed candidate experience is what lets both sides make a well-informed decision on whether they’ll be a good professional match.
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