Search result for Mathematics of machine learning mit Online Courses & Certifications
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Optimization Methods for Business Analytics
by James Orlin , Khizar Qureshi- 0.0
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6 Weeks
Students interested in the material prior to deciding on course enrollment can visit the MIT Open Courseware version of 15. The topics of the 2013 subject were optimization modeling, algorithms, and theory. 053x covers about half of the material of the 2013 subject. The primary focus of 15. Theoretical aspects of Linear Programming...
$49
Machine Learning for All
by Dr Marco Gillies- 4.7
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Approx. 22 hours to complete
Machine Learning technology is set to revolutionise almost any area of human life and work, and so will affect all our lives, and so you are likely to want to find out more about it. Machine Learning has a reputation for being one of the most complex areas of computer science, requiring advanced mathematics and engineering skills to understand it....
The complete Machine Learning Data Science Course in Python
by Coding School- 3.8
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8 hours on-demand video
We will cover all the mathematics behind every Machine Learning Model so that you understand what actually happens behind the scene and how we actually train the machine to make future decision. We will build the template of every machine learning model and will look at its visual representation as well...
$11.99
Fundamental Mathematics & Statistics for Machine Learning
by Govind Kumar- 0.0
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2.5 hours on-demand video
Learn these concepts First before learning Machine Learning The trainer of this course is an AI expert and he has observed that many students and young professionals make the mistake of learning machine learning without understanding the core concepts in maths and statistics. This course teaches you the basics of mathematics and statistics but from an application perspective....
$12.99
Convex Optimization
by Stephen Boyd , Henryk Blasinski- 0.0
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8 Weeks
The syllabus includes: convex sets, functions, and optimization problems; basics of convex analysis; least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems; optimality conditions, duality theory, theorems of alternative, and applications; interior-point methods; applications to signal processing, statistics and machine learn A thorough understanding of how such problems are solved, and some experience in solving them....
Convex Optimization
by Stephen Boyd , Henryk Blasinski- 0.0
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8 Weeks
The syllabus includes: convex sets, functions, and optimization problems; basics of convex analysis; least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems; optimality conditions, duality theory, theorems of alternative, and applications; interior-point methods; applications to signal processing, statistics and machine learning, control and mechanical engineering, digital and analog circuit design, and finance....
Machine Learning Mastery (Integrated Theory+Practical HW)
by SaifAli Kheraj- 4
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8 hours on-demand video
Data Science is a multidisciplinary field that deals with the study of data. Have an in-depth understanding of the concepts of Machine Learning Be able to grasp, understand, and write machine learning code from scratch Use Builtin Libraries available to build machine learning models Introduction to machine learning: Overview of supervised and unsupervised learning Using Machine learning builtin library...
$9.99
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Machine Learning
by Andrew NgTop Instructor- 4.9
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Approx. 61 hours to complete
Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it....
Sprint the Data Science Interview
by Muni Kumar Gopu V R- 3.9
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1 hour on-demand video
Preparation for an interview in data science would require knowledge and expertise in a subset of the above disciplines. To summarize one would require skills on Algorithms, SQL, Probability, Statistics, Econometrics, Problem Solving, Machine Learning, Optimization, storytelling and presentation skills. In this course, I would cover few questions on Probability, Statistics and different aspects of Machine Learning....
$12.99
Mathematical Foundations of Machine Learning
by Dr Jon Krohn- 4.5
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15.5 hours on-demand video
Mathematics forms the core of data science and machine learning. Jon Krohn, this course provides a firm grasp of the mathematics — namely the linear algebra and calculus — that underlies machine learning algorithms and data science models. Understand the fundamentals of linear algebra and calculus, critical mathematical subjects underlying all of machine learning and data science...
$17.99
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