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This online course series gives an introduction to Neural Networks, Deep Learning, and Tensorflow.

This online course gives an introduction to artificial intelligence for educators to prepare for a future which is becoming increasingly automated. The course includes...

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 the fundamentals of Artificial Intelligence (AI). Participants will design intelligent agents to solve real-world problems, including search, games,...

This course will provide an overview of many concepts, techniques, and algorithms in machine learning, from basic classification to decision trees and clustering.

This online course explores key AI concepts, including machine learning, deep learning and neural networks. The course is designed for beginners and no programming skills are...

This online course shows how to work with big data and build machine learning models at scale using Spark.

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...

In this course, students will learn how to apply Supervised, Unsupervised and Reinforcement Learning techniques for solving a range of data science problems.

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...

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,...

This course teaches concepts of machine learning. Machine learning engineers build programs that dynamically perform the analyses that data scientists used to perform manually....

This online course gives an introduction to AI, Big Data, and Machine Learning for learners with a business background.

This online course covers advanced machine learning and signal processing concepts, including supervised and unsupervised machine learning.

This online lecture series reviews linear algebra with applications to probability and statistics and optimization. It covers linear algebra concepts that are key for...

This online course will help participants to learn a variety of matrix factorization and hybrid machine learning techniques for recommender systems.

This online course gives an introduction to machine learning for non-technical business professionals.

This online lecture series presents the theory of fundamental machine learning concepts. Topics covered in the video lectures include: Bayesian theory of optimal decisions...

This online lecture discusses nonlinear dynamics and control of underactuated mechanical systems, with an emphasis on machine learning methods.

This online course gives an introduction to the basic ideas of machine learning and artificial intelligence without the technical programming tools that are used by more...