Search result for Machine learning algorithms Online Courses & Certifications
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Machine Learning In The Cloud With Azure Machine Learning
by TetraNoodle Team- 4
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3 hours on-demand video
Introduction to machine learning in the cloud with Azure Machine Learning. This is where machine learning algorithms come into the picture. In all these examples, machine learning is used to build models from historical data, to forecast the future events with an acceptable level of reliability. In this course, we will discuss Azure Machine Learning in detail....
$12.99
Mathematical Foundation For Machine Learning and AI
by Eduonix Learning Solutions- 4.4
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4.5 hours on-demand video
Learn the core mathematical concepts for machine learning and learn to implement them in R and python However, learning to write algorithms for AI and ML isn’t easy and mathematical foundation required for writing programs and algorithms Algebra – Linear algebra notation is used in Machine Learning to describe the parameters and structure of different machine...
$9.99
Unsupervised Learning
by Mark J Grover , Miguel Maldonado- 4.9
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Approx. 9 hours to complete
This course introduces you to one of the main types of Machine Learning: Unsupervised Learning. You will learn several clustering and dimension reduction algorithms for unsupervised learning as well as how to select the algorithm that best suits your data. This course targets aspiring data scientists interested in acquiring hands-on experience with Unsupervised Machine Learning techniques in a business setting....
Unsupervised Machine Learning
by Mark J Grover , Miguel Maldonado- 4.8
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Approx. 9 hours to complete
This course introduces you to one of the main types of Machine Learning: Unsupervised Learning. You will learn several clustering and dimension reduction algorithms for unsupervised learning as well as how to select the algorithm that best suits your data. This course targets aspiring data scientists interested in acquiring hands-on experience with Unsupervised Machine Learning techniques in a business setting....
Probabilistic Graphical Models 2: Inference
by Daphne Koller- 4.6
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Approx. 38 hours to complete
These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are also a foundational tool in formulating many machine learning problems. Belief Propagation Algorithms MAP Algorithms...
Signals, Systems, and Learning
by Richard G. Baraniuk- 0.0
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8 Weeks
Signals, systems, and transforms: from their theoretical mathematical foundations, to practical implementation in circuits and computer algorithms, to machine learning algorithms that convert signals into inferences. Practical implementation of signal processing and machine learning algorithms on data from the real world...
$249
Machine Learning with Python
by SAEED AGHABOZORGI , Joseph Santarcangelo- 4.7
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Approx. 21 hours to complete
This course dives into the basics of machine learning using an approachable, and well-known programming language, Python. First, you will be learning about the purpose of Machine Learning and where it applies to the real world. Introduction to Machine Learning Introduction to Machine Learning Python for Machine Learning Intro to Machine Learning...
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Data Science for Professionals
by Gregory Sward- 4.3
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6.5 hours on-demand video
The reason is that the math behind most machine learning algorithms merits a course entirely on its own. There are many courses out there that make dubious claims of easy mastery of machine learning and deep learning algorithms - this is not one of those courses. We use very large, real-world examples to guide our learning process....
$12.99
Mastering Data Science and Machine Learning Fundamentals
by AI Sciences- 4.2
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2 hours on-demand video
A comprehensive course that will teach you how Data Science and Machine Learning Work. Welcome to Mastering Data Science & Machine Learning Fundamentals for Beginners! The course not only guides you through the problems and concepts of machine learning but also elaborates on how to implement those concepts successfully. Basics of Machine Learning...
$9.99
Probabilistic Graphical Models 3: Learning
by Daphne Koller- 4.6
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Approx. 66 hours to complete
They are also a foundational tool in formulating many machine learning problems. The (highly recommended) honors track contains two hands-on programming assignments, in which key routines of two commonly used learning algorithms are implemented and applied to a real-world problem. Review of Machine Learning Concepts from Prof. Andrew Ng's Machine Learning Class (Optional)...
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