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Neuraxio

Neuraxio

Take action on your data and stay competitive by propelling your business forward. Let's use artificial neural networks to do deep learning (machine learning) for added intelligence to your products and services with Python, Neuraxle, TensorFlow, Keras, PyTorch, Flask and more. Let's talk neurons. ____________________________________________ TIME SERIES PROCESSING: We excel in processing sequential data, whether it be signals from accelerometers, gyroscopes, financial data, trends, or any other type of signal progressing through time or space. NATURAL LANGUAGE PROCESSING: We can deliver sentiment analysis for your business, text classification, language modelling, automatic translation, speech to text, and more. OPEN-SOURCE: Your project can be accelerated by open-source. Build your machine learning pipeline with the right abstractions to both ease research, development, and deployment of your ML applications. ____________________________________________ From defining the problem to implementing the key solution, multiple special steps are to be considered when working with machine learning pipelines. Assuming you already have the data, Neuraxio can assist you in creating a good model (e.g.: a deep neural network) to do predictions on the data. Depending on the amount of data you have, the best model to use may change. If the amount of data you have comes to change, it could mean you need to do many solutions. Automatic Machine Learning could be useful in this case. In the context of Research and Development (R&D) projects, it's not uncommon to create and evaluate multiple different prototypes, following the scientific method. Good news: it's possible to automatically combine many machine learning models such that the resulting predictions are better, which makes the R&D process even more interesting from a business point of view. Learn more by visiting our website.

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About Neuraxio

Founded

2018

Employees

1-10

Category

Sector

Information Technology

Industry Group

Software & Services

Industry

Software

Tech Stack (69)

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