Machine learning will only learn more if it’s being fed with constant updates on data. With machine learning library software, users can constantly provide data to the software so it can generate smarter solutions and suggestions. Here are some of the best machine learning library software available right now.

10+ Best Machine Learning Library Software

1. TensorFlow

tensorflow

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Rating: 4/5

Price: $

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2. Scikit Learn

scikit learn

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Rating: 4/5

Price: $

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3. PyTorch

pytorch

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Rating: 4/5

Price: $

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4. Weka

weka data mining

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Rating: 4/5

Price: $

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5. Keras

keras

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Rating: 4/5

Price: $

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6. Shogun

shogun

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Rating: 4/5

Price: 4

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7. KNIME

knime

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Rating: 4/5

Price: $

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8. Armadillo

armadillo

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Rating: 4/5

Price: $

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9. Colab

colab

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Rating: 4/5

Price: $

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10. Apache Mahout

apache mahout

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Rating: 4/5

Price: $

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11. RapidMiner

rapidminer

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Rating: 4/5

Price: $

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What Is Machine Learning Library Software?

Machine learning library software is a machine learning software that allows companies to access, manage and collaborate on company data that are stored in multiple company data sources. This machine learning data mining libraries and software maintain the level of governance, access and security management that make the software smarter in generating insights based on data provided.

Benefits

Machine learning library software utilizes artificial intelligence for the software’s machine to learn and generate solutions from various data catalogs. Through this, it powers functionality in making recommendations, querying natural language as well as establishing dynamic data masking which increases the security of the software and its data assets. The machine learning libraries and software allow enterprise users to maintain data sets in a singular location so that navigating data is simple in a streamlined setting that makes it easy for users to find. The open-source machine learning libraries and software also allow fellow users and teams to understand their data better. The software also ensures that IT teams avoid unauthorized access to sensitive data through user provisioning tools. The software also allows companies to have multiple data sources for more complex and detailed data analysis for machine learning, which can generate smarter solutions for the users. The software also allows users to transform, model, and visualize their data easily which can be presented directly within the software or third-party software that supports machine learning library software.

Features

Machine learning library software should allow users to organize and compile data from all company data sources and store them in a single database repository. The open-source software library for machine library software should also provide access management tools to assign or disallow employees access to certain databases. The software should also allow users to find and access the data easily within the catalog database. The software should provide collaboration tools that allow teams to communicate and collaborate over data and organization. The software library for machine learning software should also be able to give users smart recommendations based on how much data the machine learning has learned from the user.

  • Organize and compile data in a data repository
  • Access management tools
  • Find data easily in a catalog database
  • Collaborative tools
  • Smart machine learning solutions and suggestions

Top 10 Machine Learning Library Software

1. KNIME

KNIME provides a learning software where users can learn more about technical documentation, certifications, and many more. KNIME has 168 employees and earns annual revenue of $25.9 million.

2. Apache Mahout

Apache Mahout’s machine learning software allows users to create scalable software for their operations. Apache Software Foundation has 2,092 employees and earns annual revenue of $303.3 million.

3. Shogun

Shogun provides a machine learning library software that is efficient and unified thanks to its open-source capabilities that provides a wide range of machine learning methods. Shogun has 276 employees and earns annual revenue of $41.5 million.

4. Weka

Weka’s machine learning software is powered by Java as it collects machine learning algorithms in data mining scenarios. Weka has 211 employees and earns annual revenue of $32.9 million.

5. RapidMiner

RapidMiner provides simple software for data scientists to use for their data science duties that reduce logistical costs. RapidMiner has 108 employees and earns annual revenue of $15.1 million.

6. Armadillo

Armadillo’s C++ programming software allows developers to program their machine learning software with scientific computing capabilities. Armadillo has 67 employees and earns annual revenue of $15.1 million.

7. Keras

Keras provides flexible machine learning software that is simple to use yet provides powerful results. Keras has around 25 employees and earns a revenue of around $5 million.

8. TensorFlow

TensorFlow’s source machine learning software provides end-to-end solutions that make its artificial intelligence smarter with more data. TensorFlow has 107 employees.

9. Scikit Learn

Scikit Learn’s machine learning software is simple, and it allows for accurate predictive data analytics that is accessible to use for everybody. Scikit Learn has around 25 employees.

10. PyTorch

PyTorch’s machine learning software helps companies accelerate their research and production processes. PyTorch has around 25 employees.

FAQ

Who are the typical users of machine learning library software?

Typical users of machine learning library software are usually IT departments, although the software is also used by data scientists, data analytics, and business leaders.

Does all machine learning library software have data preparation features and tools?

Not all machine learning library software has data preparation software capabilities. Some machine learning library software may require users to integrate the software with business intelligence software to perform data preparation tasks.

How much does machine learning library software cost?

Pricing for machine learning library software Is usually customized, with each software offering custom pricing which increases its pricing as it offers more features through subscription tiers. Pricing for machine learning library software varies depending on the features available and the intended users. Small companies may benefit from low-cost machine learning library software while large companies may benefit from high-cost machine learning library software.

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