10 Software Testing Trends You Don’t Want to Miss in 2019

Hey guys, On the eve of launching our QA specialist course (which is released in 10 days), we’d like to talk about new approaches to software testing. If you want to stay up-to-date on this important topic, this article is just what you need! With Agile and DevOps growing increasingly popular, the software development industry is … Continue reading “10 Software Testing Trends You Don’t Want to Miss in 2019”

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Comparison of Symbolic Deep Leaning Frameworks

Symbolic Frameworks Frameworks for symbolic computation (MXNET, TensorFlow, Theano) feature symbolic graphs of vector operations, such as matrix addition/multiplication or convolution. A layer is just a set of those operations. Thanks to the granularity of operations, users can build new complex types of layers without using low-level languages. I have the experience of using various symbolic computation … Continue reading “Comparison of Symbolic Deep Leaning Frameworks”

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Modern Approaches to Natural Language Processing

The research findings regarding  Speech Recognition,  Machine Translation, Intonation and Parts of Speech recognition indicate that deep-learning neural algorithms have a bigger potential compared to the conventional natural language processing methods. At the same time, there are still plenty of unresolved issues concerning question-answering and dialog systems. This article looks at the application of modern … Continue reading “Modern Approaches to Natural Language Processing”

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How Machine Learning, Neural Networks, and Chat Bots Make Banking Easier

It won’t be an exaggeration to say that nowadays AI in banking is ubiquitous. AI algorithms are used to perform a number of functions, such as credit scoring based on a client’s Facebook profile, debt collection, financial advising to investors, fighting fraud, and doing routine tasks. In this article, we’ll talk about how AI saves … Continue reading “How Machine Learning, Neural Networks, and Chat Bots Make Banking Easier”

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