糖心vlog官网观看

The course material is a bit boring than other courses but still got to learn a lot. :)

Thank you for your great course and making it accessible to students, Prof. Andrew Ng!

Quite fast to achieve, done in 5 days

Good tips for structuring a deep learning project

Practical knowledge that tells people what to do next when problem occurs in AI project

Must try course for every data enthusiast.Thanks Andrew Ng for such a brilliant course.

It is a great course that teach you how to find your way around practical deep learning

Clear explanations and interesting solutions to problems. Definitely worth checking out

I learnt many practice guidelines for ML projects, which can be very useful in my work.

It is a really great MOOC, which present you many practical skills in real ML projects!

Very helpful insights in structuring and prioritizing within Machine Learning projetcs

Excellent course to understand key parts of ML project and underwater rocks inside it.

Great course to put the typical machine learning structure into the real world problem

This course is really hard to understand. Need more practice and detailed explanation.

There was a best experience thet I have got from Structuring Machine Learning Projects

extremely good. gives a good idea about how to attend our own machine learning problem

A great course to learn about the right way to approach a machine learning application

A very helpful course to improve our ML performance in practice, and highly recommend!

Amazing course to understand the real life practical application of Machine learning.

Andrew Ng is brilliant and very good instructor. He konws students' thought very well.

Very useful course, necessary for practical ML projects (planning and troubleshooting)

Appropriate for knowing practical details of how to do project planning for a problem.

This is very informative & came to know about best practices in Data Science projects!

Very useful content! I can see myself applying these principles to all my ML projects.

T

h

a

n

k

s

v

e

r

y

A

n

d

r

e

w

f

o

r

m

a

k

i

n

g

i

t

s

i

m

p

l

e

a

n

d

i

n

t

e

r

s

t

i

n

g

t

o

l

e

a

r

m

s

u

c

h

c

o

m

p

l

e

x

s

u

b

j

e

c

t

s