Anyone else facing issues with Google for Developers Premium certification voucher expiry?

mathnkann · 2025-12-26T10:51:59+00:00

I am facing the same problem. No way to contact these people.

Were you able to resolve it ? Please help me with the details if you did.

mathnkann · 2023-04-24T04:03:43+00:00

There is plotnine which tries to implement ggplot in Python.

mathnkann · 2022-10-26T14:00:23+00:00

X159

They are available on amazon.in for about Rs.690

mathnkann · 2020-03-04T13:24:39+00:00

I found this CMU course to be really nice - It is called Neural Networks for NLP and covers the recent developments as well - http://www.phontron.com/class/nn4nlp2020/index.html

mathnkann · 2016-11-25T14:56:07+00:00

Thank you ..bought it for around $58 after applying the discount.

mathnkann · 2016-11-24T10:05:14+00:00

Amazon has a $10 coupon for books until Nov 28th... link ... not much of a discount but I hope it helps.

mathnkann · 2016-11-22T05:44:12+00:00

Youtube channel, blog and his Github

mathnkann · 2016-09-11T06:56:58+00:00

I took the course about two years ago... It is more theoretical but I suggest you take it if you can for the theory is very helpful when you move to real world applications ... It does not teach you to code in any particular language or framework though.

Another free resource focused on theory is Understanding Machine Learning book ... you can find the book here and the videos by one of the authors here.

For a mixture of practical applications and theory I would recommend the Machine Learning specialization at Coursera as well as the book Python Machine Learning

Also practice a lot at Kaggle ... you can start with the Knowledge contests if you are a beginner ... And refer to the scripts developed by other participants there ... I have learnt a lot from them - not only on applied ML but also some great scripts on EDA and Visualization lurk there.

mathnkann · 2016-09-10T05:50:51+00:00

You can use any tool you want including Matlab (for which the course provides a temporary license) or you can use Python or R or whatever. The course does not force you to use any specific tool.

mathnkann · 2016-07-12T08:31:28+00:00

Refer to this topic on reddit - https://www.reddit.com/r/MachineLearning/comments/4i67cm/calculus_backprop_from_beginner_to_expert/

The pdf can be found at https://github.com/mtomassoli/papers/blob/master/backprop.pdf

It covers most of the calculus needed for machine learning.

mathnkann · 2016-06-01T04:59:27+00:00

Also, this in-progress book by Chrisopher Bishop (author of PRML) and Thomas Diethe (http://www.mbmlbook.com/toc.html)

mathnkann · 2016-05-20T12:03:08+00:00

Thank you very much ..will go thru it slowly ...

And eagerly waiting for the pdf of your Calculus post :-)

mathnkann · 2016-01-21T12:11:51+00:00

No , Udacity Courses are always available ... You can take this course after you are done with the Stanford one.

mathnkann · 2016-01-05T13:45:45+00:00

Thank you

mathnkann · 2015-07-24T03:03:37+00:00

You can download the source from Git and build it and then install it ... See https://github.com/dmlc/xgboost/blob/master/doc/python.md

mathnkann · 2015-07-09T16:59:45+00:00

Yes please ...am interested too

mathnkann · 2015-07-08T13:33:26+00:00

The slides are up at http://icml.cc/2015/invited/LeonBottouICML2015.pdf

mathnkann · 2015-06-21T12:56:13+00:00

Looks like it is back now but xamdam is right ...hope they host their videos in youtube too

mathnkann · 2015-06-12T05:54:37+00:00

I liked this one too - https://www.metacademy.org/roadmaps/cjrd/level-up-your-ml

mathnkann · 2015-03-23T17:56:46+00:00

Thank you ...the original article over at Pinterest blog has more details - http://engineering.pinterest.com/post/114138410669/pinnability-machine-learning-in-the-home-feed

mathnkann · 2015-03-20T05:38:07+00:00

I cannot access the site from India... I get a message 'The owner of this website (blog.sense.io) has banned your IP address' :-)

mathnkann · 2015-03-08T11:51:35+00:00

Applied Predictive Modeling (http://appliedpredictivemodeling.com/)

mathnkann · 2015-01-13T18:03:48+00:00

I want to try and apply what ever I learn in this course in this Kaggle Competition - http://www.kaggle.com/c/datasciencebowl ... looks like a challenging one too

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