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Try machine learning with Wolfram

Did you know that Wolfram has pioneered automated machine learning and integrated it into Wolfram language?

Wolfram machine learning tool can be used to create embedded intelligent systems, build automatically adapting systems, recognise and identify objects, make decision from large-scale data predicting and detecting data and many other functions.

With Wolfram language you can quickly get know and start to work with neural networks and machine learning. Neural networks here is the programming algorithm, using encoder and decoders, layers and containers to model unknown function or recognise data paternities. Input data, including colours, images and another data,¬† always should be converted into numeric tensors. The next step is to apply “layers”, that put all data through from input to output tensor. Every layer is mathematical function. Then data and layers should be structured with¬† containers. For example NetChain connect different layers in a chain to create neural network. NetGraph can be used to connect layers into graphs. Wolfram machine learning can as well to perform data augmentation and regularisation. Wolfram Neural Net Repository allows users to access the latest pretrained nets and net architectures, repository contains publicly available models converted from neural net frameworks like TensorFlow, Caffe, Torch and others into Wolfram neural network framework. ere you can know more about Wolfram approach to neural networks.

Wolfram machine learning uses the latest methods and libraries, that correspond to the most recent hardware and software. It is available across desktop, cloud and other platforms. It allows you enjoy using both classic and most modern machine learning and neural networks methods. It supports all possible types of data, offering complete automation of fully advanced machine learning. Another advantages of Wolfram machine learning are:

  • flexibility;
  • built in data wrangling;
  • instant APIs;
  • Wolfram notebook (for developing and documenting);
  • Leveraging prebuilt models.

Wolfram as well provide range of unique technical services:

  • multiparadigm approach;
  • computational expertise and technology;
  • domain expertise in computational fields;
  • cross-discipline application
  • enterprise computation;
  • functioning software.

Wolfram is focusing on multiparadigm approach to data science to solve variety of problems, using cutting-edge algorithms and interdisciplinary methods, including cluster analysis, graph/network analysis, neural networks and machine learning, dynamic visualisation, computer vision, parallel computing and other methods.

 

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