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This online course teaches how to use the R programming language for data science and machine learning and data visualization.
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 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 gives an introduction to machine learning applications in finance organizations such as hedge funds or banks.
This online course gives a short introduction to machine learning and data science for everyone.
Closely related to pattern recognition, Unsupervised Learning is about analyzing data and looking for patterns. It is an extremely powerful tool for identifying structure in...
This online course gives an introduction to data science. It includes the data science toolbox of mathematics, statistics, Python, advanced statistics in Python, machine...
This online course gives an introduction to artificial intelligence for educators to prepare for a future which is becoming increasingly automated. The course includes...
This online course gives an introduction to machine learning for non-technical business professionals.
This series of online courses explores the fundamental building blocks of data science, including statistics, data analysis, data visualization, programming with SQL and Python,...
This online course gives an introduction to Generative AI and shows how it is used and how it differs from traditional machine learning methods.
This online course will help participants to learn a variety of matrix factorization and hybrid machine learning techniques for recommender systems.
This online course shows how to design robot vision systems that avoid collisions, safely work with humans and understand their environment.
This course will provide an overview of many concepts, techniques, and algorithms in machine learning, from basic classification to decision trees and clustering.
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 course introduces students to the real world challenges of implementing machine learning based trading strategies including the algorithmic steps from information gathering...
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 an introduction to artificial intelligence and machine learning using Python. The course is being offered by the creators of one of the most popular...
In this advanced online course several quantum machine learning algorithms are presented and explained. Students will also learn how to implement them in Python.
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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