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Signals, Systems, and Learning

Learn the mathematical backbone of data science. 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.

Signals, Systems, and Learning
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8 semanas estimadas
6–8 horas por semana
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Sobre este curso

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Coming Soon March 2021. Data science is of growing importance in every STEM field. While data science tools are more readily available now than ever before, properly using these tools requires a mathematical understanding of the algorithms within. This class develops a principled approach to using the terminology, models, and algorithms found in signal processing and machine learning, the mathematical backbone of data science.

Coaching
If you are enrolled in the verified track (paid track) in any course that is a part of a MicroBachelors program, including this course, you are eligible for coaching at no additional cost. Please note that coaching is only available via SMS to U.S. phone lines.

Our coaches (real humans) are ready to help you with career exploration, navigating resources, staying motivated, and solving problems along the way to your goals.

Learn more about the value of coaching directly from one of our coaches, Erin.

De un vistazo

  • Institución: RICEx
  • Tema:Informática
  • Nivel:Intermediate
  • Prerrequisitos:

    Linear algebra (matrix manipulation, eigendecomposition, vector spaces, inner products)

    Calculus (integrals, sequences, and series)

Lo que aprenderás

Omitir Lo que aprenderás
  • Theoretical understanding of data models and systems for processing signals, images, and other data
  • Practical implementation of signal processing and machine learning algorithms on data from the real world
  • Ability to navigate the data science process as an expert instead of relying on trial and error with black box methods

Acerca de los instructores

¿Quién puede hacer este curso?

Lamentablemente, las personas residentes en uno o más de los siguientes países o regiones no podrán registrarse para este curso: Irán, Cuba y la región de Crimea en Ucrania. Si bien edX consiguió licencias de la Oficina de Control de Activos Extranjeros de los EE. UU. (U.S. Office of Foreign Assets Control, OFAC) para ofrecer nuestros cursos a personas en estos países y regiones, las licencias que hemos recibido no son lo suficientemente amplias como para permitirnos dictar este curso en todas las ubicaciones. edX lamenta profundamente que las sanciones estadounidenses impidan que ofrezcamos todos nuestros cursos a cualquier persona, sin importar dónde viva.

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