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This online course (MOOC) explores the basics of Machine Learning.The Stanford course provides a broad introduction to machine learning, datamining, and statistical pattern...
This online course gives a first introduction to Data Science. It includes an overview of the following topics:Data ManipulationData Analysis with Statistics and Machine...
In this online course, participants will learn the basics of modern Artificial Intelligence (AI).The course also includes some of the representative applications of AI,...
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This online course gives an introduction to artificial intelligence and machine learning using Python. The course is being offered by the creators of one of the most popular...
This online course gives an introduction to machine learning for non-technical business professionals.
This online course teaches how to use the R programming language for data science and machine learning and data visualization.
This online course gives an introduction to machine learning models (including logistic regression, multilayer perceptrons, convolutional neural networks, natural language...
This series of online courses explores the fundamental building blocks of data science, including statistics, data analysis, data visualization, programming with SQL and Python,...
In this class, students will learn the basics of the PGM representation and how to construct them, using both human knowledge and machine learning techniques.
This online course is a business-oriented course on machine learning that covers the key concepts and technologies for beginners.
This online course explores what Artificial Intelligence (AI) is by understanding its applications and key concepts including machine learning, deep learning and neural networks.
This MOOC teaches fundamentals of probabilistic analysis and inference. Participants of the course will build computer programs that reason with uncertainty and make...
This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods.
This course will introduce open source tools used for parallel, distributed and scalable machine learning. After completing this course’s hands-on projects with KNIME and...
This online course teaches about comprehensive data mining and machine learning with Python and Spark.
In this course, students will create classifiers that provide state-of-the-art performance on a variety of tasks and will become familiar with some of the most successful...
This course will cover the basic components of building and applying prediction functions with an emphasis on practical applications. The course will also introduce a range of...
This online course gives an introduction to machine learning and includes a wide range of supervised-learning techniques, from simple linear regression to support vector...
This online course explores the fundamentals of Artificial Intelligence (AI). Participants will design intelligent agents to solve real-world problems, including search, games,...
This course examines structured representations for describing the documents in the corpus, including clustering and mixed membership models, such as latent Dirichlet allocation...
This online course teaches how to use NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Machine Learning, Tensorflow and more.
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