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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 explains the basic principles of machine translation. It covers the main difficulties of translating natural languages and the principles of different machine...
This online course explores how to apply machine learning in practice, using Google's approach including TensorFlow models.
This online course program gives an introduction to artificial intelligence in a business environment. It includes topics such as probability and mathematics for machine...
This comprehensive online course series will introduce participants to the field of artificial intelligence. It includes topics such as search and optimization; logic,...
This online course gives an introduction to generative adversarial networks (GANs). It teaches how to build and train different GANs architectures to generate new images using...
This course introduces students to the real world challenges of implementing machine learning based trading strategies including the algorithmic steps from information gathering...
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 applying Artificial Intelligence (AI) to healthcare. It includes modules on applying AI to 2D and 3D medical imaging data,...
This online course gives a basic introduction to the field of deep learning and to building a deep learning model using the Keras library. Some prior knowledge of Python and...
This online course gives an introduction to developing deep learning models with Tensorflow (an open source machine library for deep learning).
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 series gives an introduction to deep reinforcement learning, including value-based methods, policy-based methods, and multi-agent reinforcement learning. Some...
This online course series explores how AI applications can be used in trading and quantitative finance.
This online course shows how to build deep learning agents with neural networks.
This online course gives an introduction to Generative Adversarial Networks (GANs), including their fundamental components and applications.
This online course program gives an introduction to Natural Language Processing (NLP). Its goal is for learners to be able to design NLP applications that perform...
This online course program explores the main areas of machine learning: supervised learning, unsupervised learning, deep learning, and reinforcement learning.
In this course, students will learn how to apply Supervised, Unsupervised and Reinforcement Learning techniques for solving a range of data science problems.
This online course teaches the foundations of deep learning. Participants can learn how to build, train and apply deep neural networks.
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