Are you looking to get a discount on popular programming courses? Then click here. View offers

TODAY'S OFFERS
close

Select from the best sales here

VIEW ALL DISCOUNTS

Machine Learning (Stanford University) (coursera.pxf.io)

Visita Tutorial
Pagado
Top Three Medal #1 de un total de 137 Machine Learning Tutoriales y Cursos 16.5k+ vistas

remitente

Viktor Yanush
1490 puntos

educador

Andrew Ng
1050 puntos

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

Calidad del contenido

Instructor calificado

Calidad de video

Profundidad del curso y cobertura

Ritmo del curso

Escribe tu reseña de este tutorial:

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

Kunal Vats
Kunal Vats 16 puntos
hace 5 años

Any prerequisite to start this course?

Ashwin Jayaprakash
Ashwin Jayaprakash 16 Points

@kunal-vats Its explained in the introduction.

Doydle Llama
Doydle Llama 18 puntos
hace 5 años

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

Khushal Sharma
Khushal Sharma 10 puntos
hace 5 años

does this course have programing or only algo's?

Saurabh Hooda
Saurabh Hooda 149690 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
Robert Martin 48 Points

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

Bingli224
Bingli224 10 puntos
hace 1 año

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.

Senthil Nathan
Senthil Nathan 10 puntos
hace 2 años

hi

Sahana Ks
Sahana Ks 12 puntos
hace 4 años

Is it a self paced course?

Saurabh Hooda
Saurabh Hooda 149690 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.