Volver a Mathematics for Machine Learning: Multivariate Calculus

estrellas

4,956 calificaciones

•

887 reseña

This course offers a brief introduction to the multivariate calculus required to build many common machine learning techniques. We start at the very beginning with a refresher on the “rise over run” formulation of a slope, before converting this to the formal definition of the gradient of a function. We then start to build up a set of tools for making calculus easier and faster. Next, we learn how to calculate vectors that point up hill on multidimensional surfaces and even put this into action using an interactive game. We take a look at how we can use calculus to build approximations to functions, as well as helping us to quantify how accurate we should expect those approximations to be. We also spend some time talking about where calculus comes up in the training of neural networks, before finally showing you how it is applied in linear regression models. This course is intended to offer an intuitive understanding of calculus, as well as the language necessary to look concepts up yourselves when you get stuck. Hopefully, without going into too much detail, you’ll still come away with the confidence to dive into some more focused machine learning courses in future....

DP

25 de nov. de 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.

JT

12 de nov. de 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.

Filtrar por:

por Stathis

•19 de oct. de 2019

Good refresher

por Suyoun K

•15 de sep. de 2021

Good Course.

por Alfian A H

•22 de mar. de 2021

Very good

por Hemant D K

•17 de dic. de 2018

Its good.

por henry c

•19 de ene. de 2020

It is ok

por R. D B D

•7 de mar. de 2021

so hard

por MUTHUKUMAR P

•26 de sep. de 2021

Good

por Prof(Dr) S R

•24 de ago. de 2019

nice

por Long Q

•10 de oct. de 2018

g

por Tony J

•19 de ago. de 2020

Pretty good in terms of material covered. This course does a much better job of balancing what you should know vs pace than the linear algebra course (which breezed through or skipped a couple concepts that made it difficult to complete assignments or subsequent lessons).

Both courses so far would really benefit from another couple turns at the wheel in terms of polish, making sure that concepts are covered adequately and nothing is lost in the gaps. Also there is room for more and better 'further reading' pointers for those who are interested.

The biggest issue in both courses so far is the discontinuity when the lecturers (for whatever reason) switch in the last 2 weeks of the respective courses. Things seem to get lost or forgotten.

For example, in this course there's no mention in week 5 of how the previous week's topic relates to the material being covered, even though in the assignment there is a very interesting application of the topics in week 4 being presented, but it's completely hidden. And, judging from the forum posts from that week, the vast majority of students missed that insight.

I'm not sure why this course hasn't received any updates since it launched over 2 years ago. It's rough in more than a couple spots, but it could polish up really nicely.

por Maksim U

•3 de ene. de 2019

I did learn quite a lot throughout the course. The problem is that most of my knowledge came from elsewhere while the explanations by the course instructors were quite unclear till I referred to extra resources. At the same time, some other explanations were on the obvious side, so I'd say the instructions are kind of inconsistent in their difficulty. The real-life examples were relly good though. The same concerns the quizzes, some are absolutely great and intuitive, while the others just leave you puzzled about what you are even expected to do with no extra info offered when failed.

The course is kind of sloppier than the first one and the reviews say the third one is even worse, so I won't be doing it.

Finally, I cannot even complete the last graded assignment and get my certificate as well as some other learners because the thing just throws an error all the time. There is zero reaction from the crew that is supposed to be moderating the forums.

All in all, a fine "guideline" course. But do not expect to be presented much inside the course itself.

por Pritam D

•13 de sep. de 2020

While the topics covered in the course are good, the depth and clarity with which each topic deserves to be explained, remains unfulfilled. The lectures are easy to understand, but sometimes you'll have to jump to other resources to get a better understanding of the topics covered. The difficulty of assignments is relatively very high, compared to their respective lectures.

Moreover, I feel that categorizing this course as a "beginner" course is somewhat questionable, as a complete beginner will face a lot of hurdles, given the number of new topics introduced in each lecture, the succeeding (often difficult) assignment, and the brevity of explanation. This course is more of an intermediate level, and some prior experience of Multivariate Calculus is required. I personally had glazed over Multivarious Calculus during my undergraduate, and even with that background, the difficulty seemed frustrating. For me, other resources, such as 3blue1brown youtube videos and Grant's KhanAcademy videos were necessary to complete the course.

por Leandro C F

•22 de mar. de 2021

I've took the first course about linear algebra and it was brilliant. Unfortunately I did not have the same impression on this course.

The contents of the course is very important, but some topics were covered very quickly and superficially.

I also noticed that many people liked the first instructor, but for me the fact that he emphasizes one in every four words annoyed my learning experience. I spent more time paying attention in the emphasis than in the contents.

por Harsh D

•14 de jun. de 2020

After the first course of the series, I expected more out of this. Certainly, the course covers basics but there's a gap in between the weeks. May be it was done to ensure the course could be restricted to 6 weeks, but then again course 3 is just 4 weeks. Not sure what happened there, this one certainly requires restructuring.

For Imperial College: If you would like to know what I am talking about, please go through the discussion forums.

por Paul F

•10 de may. de 2020

Towards the end, you see that the lecturers and the Team lost their motivation for a bit. Explanations are done very quickly and the exercises lack proper programming. The last one for example can't be passed if you write the functions in two different cells (as it is displayed in the workbook when you start), you need to copy them to one cell. This is really badly designed.

por Oliver K

•1 de feb. de 2020

The first few weeks were a great introduction to derivatives, but the further it got the more the content seemed rushed and the exercises lazy. I will now go back and read secondary literature to really understand those parts, and not just calculate derivatives over and over. Samuel was a fantastic instructor though, kudos!

por Marcin

•12 de ago. de 2018

It's one of the toughest things that I've done in my life. The content is really interesting and applicable, but at times you might get stuck with quizzes or assignments because there is not enough guidance given. All in all, I'd recommend this course to everyone working in analytics.

por Sam C

•17 de abr. de 2018

A quick short introduction to multivariate calculus and few machine learning techniques, but without much detail mathematical proofs for some ideas. It's a maybe good introductory course for beginners of calculus. Not recommended for learns who seek for details of ideas.

por Kirill N

•16 de ago. de 2020

Weeks 1-3 (4) were pretty nice; weeks 5 and 6 were terrible. The harder the topics, the less explanation was given, the pacing by the end was atrocious and course delves into statistical topics while it probably could've dedicated these weeks to other relevant topics.

por Khang V P

•22 de sep. de 2021

The last 2 modules have very promising content, yet the instructor did not do well enough. I found myself totally lost in the confusing explanation of David, although I've already have experience in Multivar Calc and take this course just as a refresher.

por Yi Z

•3 de ago. de 2018

Such a easy course, if you totally a novice in multi-variables calculus, you could take this course, Whereas, if you are familiar with calculus, it will be quite easy for you.

I hope more programming assignment about Machine Learning

por ZHANSHAOXUN

•9 de nov. de 2021

the connection seemed poor between weekly targets. it was super easy at first and became very difficult at last, honestly i do not think this is designed for students with no relavant foundations in math or machine learning.

por Rob E

•11 de ago. de 2020

The instructor for this course actually tried to explain the concepts, unlike the other two courses in this specialization. However, no one is available to answer questions.

por Shivam K

•30 de jun. de 2020

I feel that the course was too fast paced. I had to constantly refer to many other website like khan academy and 3b1b. The course skipped many details and lacked intuition.

- Analista de datos de Google
- Gestión de proyectos de Google
- Diseño de experiencia del usuario (UX) de Google
- Soporte de TI de Google
- Ciencia de datos de IBM
- Analista en datos de IBM
- Análisis de datos de IBM con Excel y R
- Analista de ciberseguridad de IBM
- Ingeniería de Datos de IBM
- Desarrollador de la nube de pila completa de IBM
- Marketing en redes sociales: Facebook
- Analítica del marketing de Facebook
- Representante de desarrollo de ventas de Salesforce
- Operaciones de venta de Salesforce
- Contabilidad en Intuit
- Prepárate para una certificación en Google Cloud: arquitecto de la nube
- Prepárate para una certificación en Google Cloud: ingeniero de datos de la nube
- Lanza tu carrera profesional
- Prepárate para una certificación
- Avanza en tu carrera

- cursos gratuitos
- Aprende un idioma
- python
- Java
- diseño web
- SQL
- Cursos gratis
- Microsoft Excel
- Administración de proyectos
- seguridad cibernética
- Recursos Humanos
- Cursos gratis en Ciencia de los Datos
- hablar inglés
- Redacción de contenidos
- Desarrollo web de pila completa
- Inteligencia artificial
- Programación C
- Aptitudes de comunicación
- Cadena de bloques
- Ver todos los cursos

- Habilidades para equipos de ciencia de datos
- Toma de decisiones basada en datos
- Habilidades de ingeniería de software
- Habilidades sociales para equipos de ingeniería
- Habilidades para administración
- Habilidades en marketing
- Habilidades para equipos de ventas
- Habilidades para gerentes de productos
- Habilidades para finanzas
- Cursos populares de Ciencia de los Datos en el Reino Unido
- Beliebte Technologiekurse in Deutschland
- Certificaciones populares en Seguridad Cibernética
- Certificaciones populares en TI
- Certificaciones populares en SQL
- Guía profesional de gerente de Marketing
- Guía profesional de gerente de proyectos
- Habilidades en programación Python
- Guía profesional de desarrollador web
- Habilidades como analista de datos
- Habilidades para diseñadores de experiencia del usuario

- MasterTrack® Certificates
- Certificados profesionales
- Certificados universitarios
- MBA y títulos de grado en negocios
- Títulos de grado en ciencias de los datos
- Títulos en ciencias informáticas
- Títulos de grado en Análisis de datos
- Títulos de grado en salud pública
- Títulos de grado en Ciencias Sociales
- Títulos de grado en administración
- Títulos de grado de las principales universidades europeas
- Maestrías
- Licenciaturas
- Títulos de grado con trayectoria de desempeño
- Cursos BSc
- ¿Qué es una licenciatura?
- ¿Cuánto tiempo dura una Maestría?
- ¿Vale la pena hacer una MBA en línea?
- Siete maneras de pagar la escuela de posgrado
- Ver todos los certificados