Text mining using vectors explained to business people

In the last years, a lot of researchers have invested time and resources into a new approach to Natural Language Processing: forget linguistic algorithms, let’s turn the words into mathematical vectors and plot them in a 3D space. Then, applying linear algebra, it allows us to perform specific tasks, such topic detection, sentiment analysis, etc. without even using a single code of pure linguistic algorithms. To nice to be true? Let’s discover the magic word of vectors using a very simple example.

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What are the advantages and disadvantages of using TensorFlow over Scikit-learn for unsupervised learning?

TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
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