Golang for Artificial Intelligence

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Golang for Artificial Intelligence
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Introduction

• AI Applications help to improve User Experience,
  Customer Interaction, healthcare accessibility,
  Financial planning, purchase experience and more.
• They are helping businesses improve efficiency in
  utilization of resources, thereby improving the
  bottom line profit.
• So the question arises Which programming
  language is best for developing AI Applications?

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Golang

• Go is a new yet modern language. Though languages
  such as Python and Java are widely popular for
  developing AI applications, Golang is swiftly
  capturing the market due to some unique features.
• AI Applications demand swift response to requests
  in order to mimic human intelligence. Golang not
  only brings speed into request execution but also
  introduces a host of other benefits

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Why Go Artificial Intelligence?

• Superior error handling and easier debugging
• In order to mimic human intelligence input and
  output must be simultaneous and error handling
  must be quick.
• Golang has many good machine learning,
  reinforcement learning and deep learning
  libraries focused on all parts of the pipeline.
  Some of these are for Natural language
  processing, tensor operations, and even a
  GPU-accelerated deep learning stack.

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Why Go Artificial Intelligence?

• Speed and Accuracy
• Golangs concurrency model and simple syntax help
  to improve the speed of the language.
• This allows it to handle multiple concurrent
  requests simultaneously.
• Golang code is also fast, thread ready, easy,
  clean, compiled, and simple. Number of support
  for libraries for Natural Language Processing,
  machine learning, data analysis, extraction,
  processing, and visualization help develop
  feature rich AI Applications.

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