Statement of accomplishment for Coursera Machine Learning class

Finally acquired the statement of accomplishment for Machine Learning on Coursera by Andrew Ng. Actually it took me more than 2 years to make it since the first opening of the class in the year of 2012. I don’t wanna make any excuse for such procrastination but, as others would do, I used to have some difficulty sparing the time for the class solely. Yeah, shame on me but I finished the course with a record of 100%.🙂

Anyway, I’m personally proud of what I’ve done for the last couple months. And deep appreciation to Andrew Ng for this encouraging class.

Statement of accomplishment: Coursera ml 2014

the one posting on the curse of dimensionality

i just found a blog on computer vision and machine learning, and got a chance to have a fundamental and clear understanding of the curse of dimensionality.

the posting above provides a very thorough and fundamental explanation about the essence of the curse of dimensionality. the other postings on that blog also seem to be definitely must-read articles for ML newbies, just like me.🙂

it would be really worth reading the whole materials on that blog, and that’s what i’m gonna do for the next week.

plotly – to graph and share your data

Analyze and visualize data, together.

One sorta fresh & brand-new social network community, or something alike, service for data scientists or people with interest in data science: plotly. Just got signed up out of pure curiosity and now I think it’s definitely worth a go for data geeks. Planning to make my own life-logging record with a few gadgets like arduino, specifically, it’s really an appealing feature to provide users with the arduino API to stream data from hardware devices, as written in the front page of their site. Better pay visits more often.

Undergraduate ML course at UBC 2012

I happened to find these undergraduate ML course video clips opened on youtube by UBC. I think I really have to thank to UBC & the professor Nando de Freitas for this valuable sharing. Anyone with strong interest or something in ML should definitely be better to take a look through the whole sessions. That’s what I’m gonna do for months now.

New Wolfram Programming Language

Simply way beyond the realistic boundary all other existing programming languages couldn’t have escaped by all means. I really wanna give it a try and find out what’d be possible with this level-shifting invention by 30-years’ endeavor of Stephen Wolfram.

Data Science 101

Stephen Wolfram , founder of Wolfram Research and creator of Mathematica, just announced the new Wolfram Programming Language. This is really exciting and cool, so please take some time to watch the video. I think this might be a game changer in data science.

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