I already finished the case-study course and the regression course, get
an idea of what machine learning about. When have time, I can always
come back and review the context that I've learnt, or picking up new
knowledge without knowing nothing of it. The regression course is of
particular importance as I will learn most of the materials again in my
PhD.
I cannot grade the Quiz unless pay $79 to Coursera to upgrade to a verified certificate. It is pointless to just watch the video and doing ungraded quiz, and it is unfair for learners who do not wish to pay for verified certificate to pay for grading the quiz. This is a total nonsense.
I have more tasks on the plate, processing more images and analyzing
more data, as well as manuscript to work on. I am simply running out of
time. The classification courses won't finish until the end of July when
I will be already on the road trip. Either I will be studying while
traveling (which is weird), or I shall finish the course earlier to make
time for the trip, which adds up stress.
To this stage, completing the first two courses are sufficient for me to
pick up python. I am thinking about strengthening my understanding in
data structure and algorithm so as to write better codes. I should think about what's the best strategy to fit that in. But now I am so disappointed with Coursera. That company tried to squeeze money rather than benefiting the learning community.
作者已經移除這則留言。
回覆刪除Hi Kai,
回覆刪除I am not the elderly but I could possibly share some of my experiences~
Though Coursera is charging users money now, there are still many courses worth taking: either in data science, data mining or financial engineering, etc. I am taking the Machine Learning offered by Andrew Ng and there'll be a Scala language course starting in late June. I would recommend Ng's course: a very comprehensive yet a hand-on way to grab some ML topics including SVM, deep learning, etc.
Another way of keeping down your notes on coding is to use github, the markdown language to profile your thoughts and ideas when learning coding. It is also a pretty nice place for discussions and sharings.
Hope you enjoy your road trip and study on coding!
Cheers,
T. Chen
Hi Kai,
回覆刪除I am not the elderly but I could possibly share some of my experiences~
Though Coursera is charging users money now, there are still many courses worth taking: either in data science, data mining or financial engineering, etc. I am taking the Machine Learning offered by Andrew Ng and there'll be a Scala language course starting in late June. I would recommend Ng's course: a very comprehensive yet a hand-on way to grab some ML topics including SVM, deep learning, etc.
Another way of keeping down your notes on coding is to use github, the markdown language to profile your thoughts and ideas when learning coding. It is also a pretty nice place for discussions and sharings.
Hope you enjoy your road trip and study on coding!
Cheers,
T. Chen
Thanks for sharing Terence! Very useful resources and advices. You should definitely check out Kaggle (https://www.kaggle.com/) some time to play with some data using the ML knowledge.
刪除Keep raising up the knowledge level!
Cheers,
Kai