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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 program gives a comprehensive introduction to Deep Learning. Deep Learning (part of Machine Learning) is one of the most important building blocks of modern...
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,...
Udacity's School of AI offers high-quality Artificial Intelligence online courses.The courses cover machine learning and AI programming and also include more advanced topics...
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This online course gives a hands-on introduction to basic programming principles and practice relevant to modern data analysis, data mining, and machine learning.
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 program explores the main areas of machine learning: supervised learning, unsupervised learning, deep learning, and reinforcement learning.
This online course program gives an introduction to Machine Learning as a key concept of artificial intelligence (AI). It was designed to be accessible to both business-level...
This online course teaches GRU, LSTM, and more modern deep learning, machine learning, and data science skills. Most of the work will be done in Numpy, Matplotlib, and Theano.
This online course program gives an introduction to Machine Learning with Google Cloud. It includes general aspects of machine learning as well as using Google's Tensorflow.
This online course gives an introduction to deep learning for applications such as natural language processing, computer vision, and many others. It is designed for students...
This online course teaches how to develop quantitative models that leverage business data, statistical computation, and machine learning to forecast sales and marketing impact
This online course series gives an introduction to the concept of machine learning. It will be used by students to create real-world AI applications.
Focusing on the basics of machine learning and embedded systems, such as smartphones, this online course will introduce learners to the “language” of TinyML.
This online course program gives an introduction to key concepts and applications in Deep Learning, including various kinds of neural networks for supervised and unsupervised...
This online course program explores the various applications of artificial intelligence. The courses include topics such as machine learning, deep learning and neural networks,...
This online course teaches the foundations of deep learning. Participants can learn how to build, train and apply deep neural networks.
This online course program explores foundational machine learning techniques, from data manipulation to unsupervised and supervised algorithms. Prior experience with Python is...
This course explores regularized linear regression models for the task of prediction and feature selection. Students will be able to handle very large sets of features and...
This online course program explores the methods modern computer science has to offer to the field of healthcare. Topics include health data analysis, different types of neural...
This online course gives an introduction to machine learning models (including logistic regression, multilayer perceptrons, convolutional neural networks, natural language...
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 online course explores Spark and Scala for Big Data applications, including Spark 2.0 DataFrames.
This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods.
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