Search result for Mathematics in machine learning Online Courses & Certifications
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First Steps in Linear Algebra for Machine Learning
by Dmitri Piontkovski , Vsevolod L. Chernyshev- 4.1
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Approx. 21 hours to complete
The main goal of the course is to explain the main concepts of linear algebra that are used in data analysis and machine learning. Another goal is to improve the student’s practical skills of using linear algebra methods in machine learning and data analysis. Vectors and matrices in Python Rules on the academic integrity in the course...
Intelligent Machining
by Rahul Rai- 4.7
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Approx. 11 hours to complete
Manufacturers are increasingly utilizing machine tools that are self-aware – they perceive their own states and the state of the surrounding environment – and are able to make decisions related to machine activity processes. Practical Uses of Machine Learning Resources: Machine Learning: Setting the Context Future Directions in Advanced Machining Resources: Future Directions in Advanced Machining...
MathTrackX: Differential Calculus
by Dr Melissa Humphries , Dr Danny Stevenson , Dr David Butler , Dr Brendan Harding- 0.0
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4 Weeks
Guided by experts from the School of Mathematics and the Maths Learning Centre at the University of Adelaide, this course will cover concepts and techniques to provide a foundation for the applications of differentiation in STEM related careers and/or further study at the undergraduate level. How to use differentiation to solve problems in basic motion, mechanics and optimisation....
$79
MathTrackX: Polynomials, Functions and Graphs
by Dr Danny Stevenson , Dr David Butler , Dr Brendan Harding , Dr Melissa Humphries- 0.0
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4 Weeks
Functions occur throughout mathematics and an understanding of them is essential. Guided by experts from the School of Mathematics and the Maths Learning Centre at the University of Adelaide, this course will introduce functions, the algebra of numbers & polynomials and sets of numbers and intervals of the real number line....
$79
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
by Laurence Moroney- 4.7
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Approx. 30 hours to complete
This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. A primer in machine learning...
How Stuff Moves, Part 3: Wave Motion
by Peter Saeta , Elizabeth Connolly- 0.0
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4 Weeks
You need not have taken physics before, but we assume that you have studied mathematics, up to and including a first course in calculus. There is a Mathematics Diagnostic Test that you can take at the beginning of Part 1 of this series to ensure that your mathematics background will set you up for success in this course....
$50
How Stuff Moves, Part 2: Angular Motion
by Peter Saeta , Elizabeth Connolly- 0.0
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4 Weeks
You need not have taken physics before, but we assume that you have studied mathematics, up to and including a first course in calculus. There is a Mathematics Diagnostic Test that you can take at the beginning of Part 1 of this series to ensure that your mathematics background will set you up for success in this course....
$50
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How Stuff Moves, Part 1: Linear Motion
by Peter Saeta , Elizabeth Connolly- 0.0
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4 Weeks
You need not have taken physics before, but we assume that you have studied mathematics, up to and including a first course in calculus. There is a Mathematics Diagnostic Test that you can take at the beginning of this course to ensure that your mathematics background will set you up for success in this course....
$50
Precalculus: Relations and Functions
by Joseph W. Cutrone, PhDTop Instructor- 4.6
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Approx. 11 hours to complete
This course helps to build the foundational material to use mathematics as a tool to model, understand, and interpret the world around us. This course is designed for all students, not just those interested in further mathematics courses. Real-life data, exercise sets, and regular assessments help to motivate and reinforce the content in this course, leading to learning and mastery....
Precalculus: Mathematical Modeling
by Joseph W. Cutrone, PhDTop Instructor- 4.5
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Approx. 10 hours to complete
This course helps to build the foundational material to use mathematics as a tool to model, understand, and interpret the world around us. This course is designed for all students, not just those interested in further mathematics courses. Real-life data, exercise sets, and regular assessments help to motivate and reinforce the content in this course, leading to learning and mastery....
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