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Attention, Please: Common Difficulties In Machine Learning & How To Solve Them

Machine learning can be a difficult field to break into. There are many common difficulties that students and professionals face when learning or working with machine learning algorithms, especially when dealing with natural language processing. However, by understanding these difficulties and knowing how to solve them, you can make the process easier and become a more successful machine learner. In this blog post, we will discuss some of the common difficulties that people face when working with machine learning and offer solutions for how to overcome them.

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Learn more about APIs

The Three Types Of APIs

The “Application Programming Interface,” or API in short, is a crucial element in today’s technology-driven world. Today we’ll show you the three types of APIs and explain the differences between them.

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Insights from Machine Learning

An Introduction to the Architecture of Neural Machine Translation

Machine translation is one of the most exciting and rapidly-evolving fields of artificial intelligence. Neural machine translation (NMT) is a particularly hot topic right now, thanks to its impressive ability to produce more accurate translations than traditional algorithms. In this post, we’ll take a look at the basics of NMT architecture and how it works. Stay tuned for future posts where we’ll dive into more detail on individual components of NMT systems!

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iTranslate Uses Neural Networks for Translations

Machine learning has come a long way in the past few years. Especially in the translation industry, we can see a lot of growth. At iTranslate we use exactly this outstanding technology and work with Neural Networks to offer that many languages with high-quality translations. Continue reading to get direct insight from our Machine Learning team!

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