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Best online master's programs in Artificial Intelligence - Updated 2022

18 accredited Universities offer online Master's program in Artificial Intelligence and Machine Learning. The tuiton for online Master's can range from $23,507 to $60,300. Find admission requirements, credits required for completion and compare the online master's program between these universities.

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Ranked as: #4 in Best National University
Tuition: -
State: IL
Acceptance: -
This course will provide students with an understanding of healthcare information technology (HIT) standards and interoperability.
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Ranked as: #4 in Best National University
Tuition: $68,160
State: NY
Acceptance: -
The Machine Learning Track is intended for students who wish to develop their knowledge of machine learning techniques and applications. Machine learning is a rapidly expanding field with many applications in diverse areas such as bioinformatics, fraud detection, intelligent systems, perception, finance, information retrieval, and other areas.
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Ranked as: #7 in Best National University
Tuition: -
State: MA
Acceptance: -
Clinical concept extraction (CCE) of named entities such as problems, tests, and treatments aids in forming an understanding of notes and provides a foundation for many downstream clinical decision-making tasks. Historically, this task has been posed as a standard named entity recognition (NER) sequence tagging problem, and solved with feature-based methods using hand-engineered domain knowledge. Recent advances, however, have demonstrated the efficacy of LSTM-based models for NER tasks, including CCE. This work presents CliNER 2.0, a simple-to-install, open-source tool for extracting concepts from clinical text.
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Ranked as: #12 in Best National University
Tuition: -
State: MD
Acceptance: -
Statistics is the study of the collection, analysis, interpretation, presentation, and organization of data. In applying statistics to, e.g., a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model process to be studied. Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning focuses on the development of computer programs that can teach themselves to grow and change when exposed to new data.
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Ranked as: #15 in Best National University
Tuition: -
State: NY
Acceptance: -
Machine learning (ML) has become one of the most powerful classes of tools for artificial intelligence, personalized web services and data science problems across fields. However, the use of ML on sensitive data sets involving medical, financial and behavioral data are greatly limited due to privacy concern. In this talk, we consider the problem of statistical learning with privacy constraints. Under Vapnik's general learning setting and the formalism of differential privacy (DP), we establish simple conditions that characterizes the private learnability, which reveals a mixture of positive and negative insight.
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Ranked as: #19 in Best National University
Tuition: $3,000
State: TX
Acceptance: -
Artificial intelligence (AI) at Rice University draws on computer science, mathematics, psychology, linguistics, philosophy and other disciplines. Much of the work at Rice is focused in the Artificial Intelligence and Robotics Group, headed by world-renowned robotics researcher. Research focuses on automata reasoning, deep learning, machine learning, optimization and large-scale machine learning, network analytics and graph signal processing, and quantum computing and algorithms.
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Ranked as: #25 in Best National University
Tuition: $8,020
State: CA
Acceptance: -
Every day, the amount of data (from audio to video, and from electronic health records to browsing interests and shopping preferences) continues to increase, and there is a corresponding explosion of demand from industry for engineers who are trained to extract relevant information from such data so that it can be used to improve modern technology and society. This increased demand for qualified data scientists cannot be met with the current pool of qualified engineers. To meet this need, the Master of Science in Electrical and Computer Engineering – Machine Learning and Data Science provides students with focused, rigorous training in the theory, methods, and applications of data science, machine learning and signal, and information processing.
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Ranked as: #25 in Best National University
Tuition: -
State: PA
Acceptance: -
Machine Learning Can Help Predict Where. Climate change and heavier rainfalls have contributed to a higher rate of landslides in the United States. A researcher at Carnegie Mellon University is aiming to reduce landslide-related damage by predicting where they’re likely to occur. Landslides are natural phenomena.
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Ranked as: #32 in Best National University
Tuition: -
State: NY
Acceptance: -
Machine Learning for Physics and the Physics of Learning. The exchange between fields can go in both directions. Since its beginning, machine learning has been inspired by methods from statistical physics. Many modern machine learning tools, such as variational inference and maximum entropy, are refinements of techniques invented by physicists.
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Ranked as: #35 in Best National University
Tuition: -
State: GA
Acceptance: -
With the growing importance of data and data processing across all industries, it is critical for modern engineers to be nimble data scientists. For engineers who are not professional software developers, it can be tricky to break into the ecosystem of modern tooling that is required to efficiently process and learn from data. The focus of this course is to introduce the tools, theory, and methods for working with applied data science and machine learning (DS/ML).
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