Acerca de este Curso
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100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

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Nivel principiante

Aprox. 22 horas para completar

Sugerido: 6 weeks of study, 2-5 hours/week...

Inglés (English)

Subtítulos: Inglés (English), Griego, Español (Spanish)

Habilidades que obtendrás

Linear RegressionVector CalculusMultivariable CalculusGradient Descent

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Nivel principiante

Aprox. 22 horas para completar

Sugerido: 6 weeks of study, 2-5 hours/week...

Inglés (English)

Subtítulos: Inglés (English), Griego, Español (Spanish)

Los estudiantes que toman este Course son

  • Data Scientists
  • Machine Learning Engineers
  • Biostatisticians
  • Data Analysts
  • Data Engineers

Programa - Qué aprenderás en este curso

Semana
1
4 horas para completar

What is calculus?

10 videos (Total 46 minutos), 4 lecturas, 6 cuestionarios
10 videos
Welcome to Module 1!1m
Functions4m
Rise Over Run4m
Definition of a derivative10m
Differentiation examples & special cases7m
Product rule4m
Chain rule5m
Taming a beast5m
See you next module!39s
4 lecturas
About Imperial College & the team5m
How to be successful in this course5m
Grading Policy5m
Additional Readings & Helpful References5m
6 ejercicios de práctica
Matching functions visually20m
Matching the graph of a function to the graph of its derivative20m
Let's differentiate some functions20m
Practicing the product rule20m
Practicing the chain rule20m
Unleashing the toolbox20m
Semana
2
3 horas para completar

Multivariate calculus

9 videos (Total 41 minutos), 5 cuestionarios
9 videos
Variables, constants & context7m
Differentiate with respect to anything4m
The Jacobian5m
Jacobian applied6m
The Sandpit4m
The Hessian5m
Reality is hard4m
See you next module!23s
5 ejercicios de práctica
Practicing partial differentiation20m
Calculating the Jacobian20m
Bigger Jacobians!20m
Calculating Hessians20m
Assessment: Jacobians and Hessians20m
Semana
3
3 horas para completar

Multivariate chain rule and its applications

6 videos (Total 19 minutos), 4 cuestionarios
6 videos
Multivariate chain rule2m
More multivariate chain rule5m
Simple neural networks5m
More simple neural networks4m
See you next module!34s
3 ejercicios de práctica
Multivariate chain rule exercise20m
Simple Artificial Neural Networks20m
Training Neural Networks25m
Semana
4
2 horas para completar

Taylor series and linearisation

9 videos (Total 41 minutos), 5 cuestionarios
9 videos
Building approximate functions3m
Power series3m
Power series derivation9m
Power series details6m
Examples5m
Linearisation5m
Multivariate Taylor6m
See you next module!28s
5 ejercicios de práctica
Matching functions and approximations20m
Applying the Taylor series15m
Taylor series - Special cases10m
2D Taylor series15m
Taylor Series Assessment20m
4.7
289 revisionesChevron Right

37%

comenzó una nueva carrera después de completar estos cursos

29%

consiguió un beneficio tangible en su carrera profesional gracias a este curso

Principales revisiones sobre Mathematics for Machine Learning: Multivariate Calculus

por DPNov 26th 2018

Great course to develop some understanding and intuition about the basic concepts used in optimization. Last 2 weeks were a bit on a lower level of quality then the rest in my opinion but still great.

por JTNov 13th 2018

Excellent course. I completed this course with no prior knowledge of multivariate calculus and was successful nonetheless. It was challenging and extremely interesting, informative, and well designed.

Instructores

Avatar

Samuel J. Cooper

Lecturer
Dyson School of Design Engineering
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David Dye

Professor of Metallurgy
Department of Materials
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A. Freddie Page

Strategic Teaching Fellow
Dyson School of Design Engineering

Acerca de Imperial College London

Imperial College London is a world top ten university with an international reputation for excellence in science, engineering, medicine and business. located in the heart of London. Imperial is a multidisciplinary space for education, research, translation and commercialisation, harnessing science and innovation to tackle global challenges. Imperial students benefit from a world-leading, inclusive educational experience, rooted in the College’s world-leading research. Our online courses are designed to promote interactivity, learning and the development of core skills, through the use of cutting-edge digital technology....

Acerca de Programa especializado Matemática aplicada al aprendizaje automático

For a lot of higher level courses in Machine Learning and Data Science, you find you need to freshen up on the basics in mathematics - stuff you may have studied before in school or university, but which was taught in another context, or not very intuitively, such that you struggle to relate it to how it’s used in Computer Science. This specialization aims to bridge that gap, getting you up to speed in the underlying mathematics, building an intuitive understanding, and relating it to Machine Learning and Data Science. In the first course on Linear Algebra we look at what linear algebra is and how it relates to data. Then we look through what vectors and matrices are and how to work with them. The second course, Multivariate Calculus, builds on this to look at how to optimize fitting functions to get good fits to data. It starts from introductory calculus and then uses the matrices and vectors from the first course to look at data fitting. The third course, Dimensionality Reduction with Principal Component Analysis, uses the mathematics from the first two courses to compress high-dimensional data. This course is of intermediate difficulty and will require basic Python and numpy knowledge. At the end of this specialization you will have gained the prerequisite mathematical knowledge to continue your journey and take more advanced courses in machine learning....
Matemática aplicada al aprendizaje automático

Preguntas Frecuentes

  • Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.

  • Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.

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