Best Statistics and Machine Learning graduate masters online programs - Updated 2020

In this class the university will look into several machine learning paradigms and specific learning algorithms, analyze their performance and learn the theory behind them. The Signal Processing and Machine Learning program is intended for students looking for a jump-start on a career in data science, with a passion for quantitative thinking, practical problem-solving, computer programming, and applications to a variety of domains. Machine Learning and Natural Language Processing define the current state of the art of Artificial Intelligence. The Advanced Machine Learning course focuses on recent advances in machine learning and on developing skills for performing research to advance the state of knowledge in machine learning. 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.
Ranked as: #12 in Best National University
Tuition: $53,740
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 that provides computers with the ability to learn without being explicitly programmed.
The Advanced Machine Learning course focuses on recent advances in machine learning and on developing skills for performing research to advance the state of knowledge in machine learning.
Ranked as: #42 in Best National University
Tuition: $26,544
State: CA
Acceptance: -
Machine Learning and Natural Language Processing define the current state of the art of Artificial Intelligence.
Ranked as: #47 in Best National University
Tuition: $24,054
State: WI
Acceptance: -
The Signal Processing and Machine Learning program is intended for students looking for a jump-start on a career in data science, with a passion for quantitative thinking, practical problem-solving, computer programming, and applications to a variety of domains. Extremely well-prepared students may complete the program within 12 months, but many students will likely find a 16-month time frame more appropriate.
Ranked as: #62 in Best National University
Tuition: $28,010
State: IN
Acceptance: -
The most common machine learning scenario requires a human teacher to annotate data , and use a machine learning algorithm to generalize from these examples. In this class the university will look into several machine learning paradigms and specific learning algorithms, analyze their performance and learn the theory behind them.
Ranked as: #76 in Best National University
Tuition: $35,960
State: NJ
Acceptance: -
The machine learning master’s degree program at Stevens consists of five core courses including Artificial Intelligence, deep learning and natural language processing, and an interdisciplinary list of electives. Courses focus on both theoretical analysis and implementation of a wide range of topics in machine learning.
The machine learning master’s program establishes the theoretical and practical foundations necessary to be at the forefront of progress in the next technological revolution. Advancements made in machine learning and related disciplines will soon touch every piece of technology, making an advanced degree an essential asset for a successful career.
Ranked as: #2 in Best Regional University in West Coast)
Tuition: $24,144
State: CA
Acceptance: -
The introduction to Machine Learning course covers modern machine learning theory and techniques that can be applied to make informed data-driven decisions. Instead of manually analyzing data, machine learning offers a more efficient means to analyze large data sets to gradually improve the performance of predictive models. Machine learning algorithms are being used in a wide range of domains including image and voice recognition, finance, security, and games.

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