Woww!! So down to earth and Classic way of teaching conventional statistics to computer students. For those who find this talk a bit clumsy, confusing, not able to follow up very well, please do inferential statistics from udacity (conventional way) and then come here. Makes life easier
Hi Allen, I am new to statistics. I have view lots of Bayesian statistics lectures as well as videos, i would go so much confused to know what exactly is Bayesian statistics ( i always hear about as pre-requisite in ML). Fortunately, i saw your videos from Pycon 2016, good lord, i got all that you spoke about. All i wanted to say, you are best of all. I want now eager to read both Think stats as well as Think Bayes. Thanks for your book as well as the way you make it all easy to understand in one go. God bless you sir.
I am a developer approaching to Machine Learning. It really helps me overcome the hurdle of understanding probability and statistics. After watching the video I get interested in the slides being used for it. It would be much more helpful to me if you can share the URL for it. Thanks.
![Noob To Max With DRAGON REWORK In Blox Fruits [FULL MOVIE]](http://i.ytimg.com/vi/LnBMOinoOvA/mqdefault.jpg)
i could listen to him all day.
why did we not get taught like this in high school??
xkcd go-to source for talks
Thank you Prof. Downey
Will your kids go to school?
Mine, most likely not.
Resources:
Official Page: allendowney.github.io/CompStats/tutorial
Github Repo: github.com/AllenDowney/CompStats
Jupyter Notebooks (Binder): mybinder.org/v2/gh/allendowney/compstats/master
Book: greenteapress.com/wp/think-stats-2e/
This guy is great
Slides: docs.google.com/presentation/d/1gcIyf4JQZZv_98JJ9Nt4_qA7rvIaovVxAaBNtFnX97o/edit
Setup Instructions: allendowney.github.io/CompStats/tutorial
Code: github.com/AllenDowney/CompStats.git
Woww!! So down to earth and Classic way of teaching conventional statistics to computer students. For those who find this talk a bit clumsy, confusing, not able to follow up very well, please do inferential statistics from udacity (conventional way) and then come here. Makes life easier
In 1:25:53, in the slide, why CI from large samples are less likely to contain the actual value? I didn't get this point
Tutorial link is not working
does this lecture involve Poisson Distribution using SciPy?
Hi Allen, I am new to statistics.
I have view lots of Bayesian statistics lectures as well as videos, i would go so much confused to know what exactly is Bayesian statistics ( i always hear about as pre-requisite in ML). Fortunately, i saw your videos from Pycon 2016, good lord, i got all that you spoke about. All i wanted to say, you are best of all. I want now eager to read both Think stats as well as Think Bayes.
Thanks for your book as well as the way you make it all easy to understand in one go. God bless you sir.
No link for github repository in initial 10 minutes of video..Please provide git link.
Hi Nishant, all tutorial instructions, including the repo link may be found here: allendowney.github.io/CompStats/tutorial
Clone from github.com/mvanapp/SciPy2017_SimpleComputationalStats_tutorial
I am a developer approaching to Machine Learning. It really helps me overcome the hurdle of understanding probability and statistics. After watching the video I get interested in the slides being used for it. It would be much more helpful to me if you can share the URL for it. Thanks.
you are the very bestatistician!
Tutorial materials found here: scipy2017.scipy.org/ehome/220975/493423/
See the complete SciPy 2017 Conference talk & tutorial playlist here: ruclips.net/p/PLYx7XA2nY5GfdAFycPLBdUDOUtdQIVoMf
Tutorial link is giving AccessDenied now.. Can you please fix.