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5 Most Popular Machine Learning Tools Leave a comment

Every passing year brings the digital world a whole new crop of buzzwords and phrases.The influx of new terms means all aspiring tech gurus are obliged to keep up, especially if they want to retain their reputation for being current and hip. One of the latest buzz phrases that are gaining more visibility is “Machine Learning.” If you haven’t heard it before, don’t stress; this is your chance to get in the know.

What is Machine Learning?

To put it simply, machine learning is a form of artificial intelligence that automates data analysis, allowing computers to learn through experience to perform tasks without explicit programming. It’s no secret that AI and machine learning skills are increasingly in demand. According to TechRepublic, AI is expected to create 2.3 million jobs by 2020, which will replace the 1.8 million it will eliminate. In fact, the article even acknowledges machine learning as the most in-demand AI skill today. In a market growing as rapidly as this one, there are a plethora of machine learning tools available. If you choose the one that is right for you, machine learning can make various processes faster and more efficient. Making the right choice for you and your organization can be tricky, but we will take you through a few of the most popular to help get you started.

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Machine Learning Tools

1. Microsoft Azure Machine Learning

Azure Machine Learning is a cloud platform that allows developers to build, train, and deploy AI models. Microsoft is constantly making updates and improvements to its machine learning tools and has recently announced changes to Azure Machine Learning, retiring the Azure Machine Learning Workbench.

2. IBM Watson

No, IBM’s Watson Machine Learning isn’t something out of Sherlock Holmes. Watson Machine Learning is an IBM cloud service that uses data to put machine learning and deep learning models into production. This machine learning tool allows users to perform training and scoring, two fundamental machine learning operations. Keep in mind, IBM Watson is best suited for building machine learning applications through API connections.

3. Google TensorFlow

TensorFlow, which is used for research and production at Google, is an open-source software library for dataflow programming. The bottom line, TensorFlow is a machine learning framework. This machine learning tool is relatively new to the market and is evolving quickly. TensorFlow’s easy visualization of neural networks is likely the most attractive feature to developers.

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4. Amazon Machine Learning

It should come as no surprise that Amazon offers an impressive number of machine learning tools. According to the AWS website, Amazon Machine Learning is a managed service for building Machine Learning models and generating predictions. Amazon Machine Learning includes an automatic data transformation tool, simplifying the machine learning tool even further for the user. In addition, Amazon also offers other machine learning tools such as Amazon SageMaker, which is a fully-managed platform that makes it easy for developers and data scientists to utilize machine learning models.

5. OpenNN

OpenNN, short for Open Neural Networks Library, is a software library that implements neural networks. Written in C++ programming language, OpenNN offers you the perk of downloading its entire library for free from GitHub or SourceForge.


Still not sure which of these machine learning tools will meet your needs? Perhaps becoming better-trained machine learning training will give you the power to make a more informed decision. Simplilearn’s AI Machine Learning Certification will help make you an expert in machine learning through hands-on exercises and real-life industry projects.

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