Graphlab
GraphLab is a software framework that enables the development and deployment of machine learning models at scale. It provides tools for data preprocessing, model training and evaluation, and deployment on a distributed computing environment...
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Apache OpenNLP is an open-source natural language processing toolkit used to process and analyze human language data. It provides a set of tools for tasks such as tokenization, sentence segmentation, named entity recognition, part-of-speech tagging, and chunking. The toolkit is widely used in various applications such as machine learning, sentiment analysis, question answering, and language translation. Individuals with specialized skills in Apache OpenNLP can develop and implement effective natural language processing solutions.
Deeplearning4j is an open-source, distributed deep learning framework that allows users to train and deploy neural networks on a variety of hardware, including GPUs and CPUs. It is written in Java and supports multiple programming languages and platforms, making it a versatile tool for building and applying deep learning models. Some of its features include support for convolutional and recurrent neural networks, advanced optimization algorithms, and compatibility with popular libraries such as TensorFlow and Keras.
Keras is an open-source neural network library written in Python. It is designed to enable fast experimentation with deep neural networks and supports various types of convolutional, recurrent, and dense networks. Keras is widely used for building and training machine learning models for a variety of applications, including image recognition, text classification, and natural language processing. Its user-friendly API and pre-built models make it easy for developers to build and deploy machine learning models quickly and easily.
Machine Learning Frameworks refer to software libraries and tools that support the development, training, and deployment of machine learning models. These frameworks provide abstractions for model construction, optimization, data handling, and integration with production environments.
TensorFlow is an open-source software library developed by Google for building and training machine learning models. It provides a powerful framework for creating machine learning and deep learning algorithms, as well as for deploying them on various platforms. With TensorFlow, developers have access to a vast array of tools and resources for building scalable and flexible models, making it one of the most popular and powerful tools for machine learning and artificial intelligence development.
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Are you a nonprofit pursuing a public good? Lightcast Skills APIs are freely available to you because we believe in using data for good and creating a labor market that works for everyone. Through the shared language of skills, we can enable a world where every worker and every job can find their best fits as efficiently and easily as possible.
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How Utah Tech Brings Career Exploration Into the Student Journey

He Left Banking to Change Oil. Now He Leads the Shop.

The Lightcast Skills Taxonomy
Skills Hierarchy and Tags
Related Skills
Browse the most common related skills to this skill, based on the last 5 months of job postings data.
How does Lightcast define a skill?
Apache OpenNLP is an open-source natural language processing toolkit used to process and analyze human language data. It provides a set of tools for tasks such as tokenization, sentence segmentation, named entity recognition, part-of-speech tagging, and chunking. The toolkit is widely used in various applications such as machine learning, sentiment analysis, question answering, and language translation. Individuals with specialized skills in Apache OpenNLP can develop and implement effective natural language processing solutions.
Deeplearning4j is an open-source, distributed deep learning framework that allows users to train and deploy neural networks on a variety of hardware, including GPUs and CPUs. It is written in Java and supports multiple programming languages and platforms, making it a versatile tool for building and applying deep learning models. Some of its features include support for convolutional and recurrent neural networks, advanced optimization algorithms, and compatibility with popular libraries such as TensorFlow and Keras.
Keras is an open-source neural network library written in Python. It is designed to enable fast experimentation with deep neural networks and supports various types of convolutional, recurrent, and dense networks. Keras is widely used for building and training machine learning models for a variety of applications, including image recognition, text classification, and natural language processing. Its user-friendly API and pre-built models make it easy for developers to build and deploy machine learning models quickly and easily.
Machine Learning Frameworks refer to software libraries and tools that support the development, training, and deployment of machine learning models. These frameworks provide abstractions for model construction, optimization, data handling, and integration with production environments.
TensorFlow is an open-source software library developed by Google for building and training machine learning models. It provides a powerful framework for creating machine learning and deep learning algorithms, as well as for deploying them on various platforms. With TensorFlow, developers have access to a vast array of tools and resources for building scalable and flexible models, making it one of the most popular and powerful tools for machine learning and artificial intelligence development.
Lightcast Skills Taxonomy
Looking for a specific skill? Search our library. Explore 35,000+ skills that we've collected from hundreds of millions of job postings, resumes, and online profiles.
The Lightcast Skills Taxonomy delivers clarity by allowing everyone to speak the same language. Use our APIs to articulate your skills needs, and leave the details to us: our dedicated team of taxonomists and engineers cleans, checks, and updates each entry so that you always have the most accurate and up-to-date picture of the labor market.
Are you a nonprofit pursuing a public good? Lightcast Skills APIs are freely available to you because we believe in using data for good and creating a labor market that works for everyone. Through the shared language of skills, we can enable a world where every worker and every job can find their best fits as efficiently and easily as possible.
Lightcast Skills Resources

How Utah Tech Brings Career Exploration Into the Student Journey

He Left Banking to Change Oil. Now He Leads the Shop.

The Lightcast Skills Taxonomy
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This skill is part of the Lightcast Skills Taxonomy, a library of over 35,000 job related skills. It is the standard used by higher education institutions, public sector organizations and Fortune 500 companies around the globe.