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Cloud Computing in Machine Learning

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Bharathi Pradeep
Bharathi Pradeephttps://www.getcooltricks.com/
Editor at GetCoolTricks.com. Bharathi covers topics on Competitive exams, How To guides, Current exams, Current Affairs, Study Materials, etc. Follow her on social media using the links below.

Machine Learning is the most in technology in these times. Naturally, all companies these days want to use Machine Learning to improve their business. Machine Learning and Data Analytics are used by companies to better understand their target audience, automate some of their production, create better products according to market demand, etc. All of these things in return increase the profitability of a company which in turn gives them an edge over their competitors.

The most popular of these are Amazon Web Services, Microsoft Azure, Google Cloud, and IBM Cloud. These are the oldest and most mature platforms that provide various products for Machine Learning ranging from natural language processing, service bots, and even deep learning. So in this article, we will check out all these cloud computing platforms.

However, for a long time in the past, companies needed to invest a lot of money in Machine Learning to get this profit. Machine Learning required a lot of infrastructure, programmers who were familiar with ML, and data analytics were expensive and there was very little data available to feed these machine learning algorithms! While this was not that big a deal for large multinational corporations, it was very difficult for small and mid-level companies.

However, the popularity and advancement of cloud services have made everything much easier. Now companies can access Machine Learning algorithms and technologies from a third-party vendor, make a few changes according to their custom requirements are start getting the benefits with a much smaller initial investment.

1. Amazon Web Services

Amazon Web Services is a cloud computing platform that is a subsidiary of Amazon. It was launched in 2006 is currently one of the most popular cloud computing platforms for machine learning. AWS provides various products for Machine Learning:

  • Amazon SageMaker – This is used to create and train machine-learning models
  • Amazon Augmented AI – This is used to implement a human review of the machine learning models
  • Amazon Forecast – This uses machine learning to increase the forecast accuracy
  • Amazon Translate – This uses machine learning and natural language processing for language translation
  • Amazon Personalize – This creates personal recommendations in machine learning systems
  • AWS Deep Learning AMI’s – This is used for Deep Learning solutions
  • Amazon Polly – This is used to convert text into life-like speech

2. Microsoft Azure

Microsoft Azure is a cloud computing platform created by Microsoft. It was initially released in 2010 and is a popular cloud computing platform for machine learning and data analytics. Some of the Microsoft Azure products for machine learning are:

  • Microsoft Azure Cognitive Service – This provides smart cognitive services for applications.
  • Microsoft Azure Azure Databricks – This provides Apache Spark-based analytics
  • Microsoft Azure Bot Service – This provides smart and intelligent bot services that can be scaled
  • Microsoft Azure Cognitive Search – This is a Machine Learning based service for mobile and web applications
  • Microsoft Azure Machine Learning – This is used to create and deploy machine learning models on the cloud

3. Google Cloud

The Google Cloud Platform is a cloud computing platform that is provided by Google. It was launched in 2008 and it provides the same infrastructure for companies that Google also uses in its internal products. Google Cloud provides various products for machine learning such as:

  • Google Cloud AutoML – This is used for training an AutoML machine learning model and its development
  • Google Cloud AI Platform – This is used for creating, training, and managing ML models
  • Google Cloud Speech-to-Text – This is a speech recognition system for transmitting from speech to text and it supports 120 languages.
  • Google Cloud Vision AI – This is used to create machine learning models for cloud vision that detect text, etc.
  • Google Cloud Text-to-Speech – This is a speech creation system for transmitting from text to speech
  • Google Cloud Natural Language – This is for natural language processing for analyzing and classifying text

4. IBM Cloud

The IBM Cloud Platform is a cloud computing platform offered by IBM. It provides various cloud delivery models that are public, private, and hybrid models. IBM Cloud provides various products for machine learning such as:

  • IBM Watson Studio – This is used to build machine learning and artificial intelligence models as well as preparing and analyzing data
  • IBM Watson Speech-to-Text – This is a speech recognition system for converting speech and audio into written text
  • IBM Watson Text-to-Speech – This is a speech creation system for converting text into natural-sounding audio
  • IBM Watson Natural Language Understanding – This is for natural language processing for analyzing and classifying text
  • IBM Watson Visual Recognition – This uses machine learning to search visual images and classify them
  • IBM Watson Assistant – This is used for creating and managing virtual assistants

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Bharathi Pradeep
Bharathi Pradeephttps://www.getcooltricks.com/
Editor at GetCoolTricks.com. Bharathi covers topics on Competitive exams, How To guides, Current exams, Current Affairs, Study Materials, etc. Follow her on social media using the links below.

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