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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 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 covers advanced machine learning and signal processing concepts, including supervised and unsupervised machine learning.
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 lecture gives an introduction to machine learning for physicists. [Note: Lectures 1 and 2 are not in the right order on the course overview page.]
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 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 explores what Generative AI is, how it is used, and how it differs from traditional machine learning methods.
This online lecture gives an introduction to the concepts of machine learning. (Some math and programming experience required.)
This online course shows how to design robot vision systems that avoid collisions, safely work with humans and understand their environment.
This online course gives an introduction to machine learning applications in finance organizations such as hedge funds or banks.
This online course explores what Artificial Intelligence (AI) is by understanding its applications and key concepts including machine learning, deep learning and neural networks.
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 gives a hands-on introduction to basic programming principles and practice relevant to modern data analysis, data mining, and machine learning.
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 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 (MOOC) explores the basics of Machine Learning.The Stanford course provides a broad introduction to machine learning, datamining, and statistical pattern...
This course will provide an overview of many concepts, techniques, and algorithms in machine learning, from basic classification to decision trees and clustering.
How do we infer which genes orchestrate various processes in the cell? How did humans migrate out of Africa and spread around the world? In this class these two seemingly...
This online course gives an introduction to AI using Microsoft's cloud-based solutions, such as Azure Machine Learning and Azure Cognitive Services. It includes applications...
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