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Machine Learning (Stanford University) (coursera.org)

Visita Tutorial

#1 de un total de 135 Machine Learning Tutoriales y Cursos 13.3k+ vistas

remitente

Viktor Yanush

1450 puntos

educador

Andrew Ng

1050 puntos

¿Por qué a los data enthusiasts les gusta este tutorial?

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Calidad de video

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También puede hacer preguntas o proporcionar cualquier información que pueda ser útil para las personas que toman este curso.

Kunal Vats

16 puntos

hace 3 años

Any prerequisite to start this course?

Ashwin Jayaprakash

16 Points

@kunal-vats Its explained in the introduction.

Doydle Llama

18 puntos

hace 4 años

Great resource, professor explains things very well, and the assignments are relevant and challenging.

Khushal Sharma

10 puntos

hace 4 años

does this course have programing or only algo's?

Saurabh Hooda

102530 Points

@khushal-sharma This is from the course syllabus: "This course includes programming assignments designed to help you understand how to implement the learning algorithms in practice."

Robert Martin

48 Points

@khushal-sharma It does have programming, but in Octave/Matlab, which nobody really uses for machine learning.

Bingli224

10 puntos

hace 7 meses

This course is like to review and upgrade skills of algebra, matrix, vector, calculus, statistics, and MATLAB (like Python + numpy + pandas + matplotlib + Jupyter notebook). Understood the background of machine learning field, especially neural network, as a strong background for studying deep learning.

Rayan Potter

18 puntos

hace 1 año

Machine Learning (ML) field have huge scope in multiple fields to help AI developers train the various types of models and provide an automated solution to different people around the world. Apart from promising sectors like @healthcare, @automotive, @retail and agriculture, ML provides a great opportunity to @machinelearning engineers utilize the bunch of data and train the machine predict in the same way.

Senthil Nathan

10 puntos

hace 1 año

Sahana Ks

12 puntos

hace 3 años

Is it a self paced course?

Saurabh Hooda

102530 Points

@sahana-ks It's not a self paced course. You need to enroll in the course and then for the best output go with the flow of the course. However, once you've enrolled you will have access to all the materials forever so you can access those and revisit those at your pace.