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oogway8020 commented on Bayesian Data Analysis, Third edition (2013) [pdf]   sites.stat.columbia.edu/g... · Posted by u/ibobev
pyyxbkshed · 3 months ago
What is a book / course on statistics that I can go through before this so that I can understand this?
oogway8020 · 3 months ago
Here is one path to learn Bayesian starting from basics, assuming modern R path with tidyverse (recommended):

First learn some basic probability theory: Peter K. Dunn (2024). The theory of distributions. https://bookdown.org/pkaldunn/DistTheory

Then frequentist statistics: Chester Ismay, Albert Y. Kim, and Arturo Valdivia - https://moderndive.com/v2/ Mine Çetinkaya-Rundel and Johanna Hardin - https://openintrostat.github.io/ims/

Finally Bayesian: Johnson, Ott, Dogucu - https://www.bayesrulesbook.com/ This is a great book, it will teach you everything from very basics to advanced hierachical bayesian modeling and all that by using reproducible code and stan/rstanarm

Once you master this, next level may be using brms and Solomon Kurz has done full Regression and Other Stories Book using tidyerse/brms. His knowledge of tidyverse and brms is impressive and demonstrated in his code. https://github.com/ASKurz/Working-through-Regression-and-oth...

oogway8020 commented on Ask HN: What Are You Learning?    · Posted by u/velyan
rakejake · 2 years ago
FreeCAD.

And also reading the book on Modern Manufacturing Techniques by Groover.

I work as a Software Engineer but somehow I haven't had the itch to write any personal software or work on side projects for some time now. Looking to expand my toolset and get my creative side going again in a new space.

oogway8020 · 2 years ago
Are you aware of python first libraries like build123d and cadquery? build123d has an improved API over cadquery, excellent docs and no dependency on conda. Best tool for modern parametric python CAD.
oogway8020 commented on Ask HN: What Are You Learning?    · Posted by u/velyan
perrygeo · 2 years ago
Relearning statistics with a Bayesian approach. My undergrad education was in social science research methods and I spent 4 years learning the strict frequentist approach of orthodox statistics. It made sense for highly-controlled experiments and simple dice games. But it broke down horribly when faced with any complexity and I never understood why. 25 years later, it's time to fill in the gaps. My reading list:

- E.T. Janes "Probability Theory: The Logic of Science" provides the fundamental theory.

- Robert McElreath "Rethinking Statistics" provides a practical application of the theory in R.

- Andrew Clayton's "Bernoulli's Fallacy" is a non-technical book that provides historical context to the frequentist vs bayesian debate.

I'm fairly convinced now that Bayesian approaches have more mathematical rigor than the crusty old heuristics of traditional statistics. But in terms of user-experience, doing Bayesian calculations still requires more effort on model design and more compute power. It's flexible to a fault, without a well-defined workflow. There is a strong temptation to follow the easy path - shove your data into a black box and publish if p<0.05. It's going to take a generation of (re)training and improvements to statistical software before Bayesian methods are widespread.

oogway8020 · 2 years ago
I find bayesrulesbook.com to be the best book on bayesian statistics, it's free online html version. Excellent examples, using stan.
oogway8020 commented on Ask HN: Math books that made you significantly better at math?    · Posted by u/optbuild
bob_theslob646 · 3 years ago
These are great. Thanks for sharing.

Do you happen to have any on probability or statistics and or both?

oogway8020 · 3 years ago
There is a large number of html format books on bookdown.org, mostly related to Data Science and R, lots of Bayesian too. There are some more theoretical math books there, one of which I found to be very well written: Theory of Distributions by Peter K. Dunn
oogway8020 commented on Ask HN: Math books that made you significantly better at math?    · Posted by u/optbuild
Kaizeras · 3 years ago
Mathematik für Ingenieure und Wissenschaftler I, II and III from Lothar Papula (in German). The solutions are detailed, making it perfect for self-studying.

Book of Proof by Richard Hammack. A great introduction to proofs in mathematics. The book is available free online [0], but also I bought the physical version because I really enjoyed it.

[0]https://jdhsmith.math.iastate.edu/class/BookOfProof.pdf

oogway8020 · 3 years ago
I just started reading Book of Proof by Richard Hammack and I agree it's an amazing book
oogway8020 commented on The first rule of Microsoft Excel: Don’t tell anyone you’re good at it   wsj.com/articles/the-firs... · Posted by u/metadat
lofatdairy · 3 years ago
I personally vote R + Tidyverse only because I know a ton of older people in data/stats background who have done work in SAS and R, but struggle a bit with knowing what to do in Python. If all you're doing is tabular data all day, R handles that pretty well by default and RStudio is a much better IDE than even a Jupyter notebook for a more interactive paradigm.
oogway8020 · 3 years ago
Tidyverse is awesome, RStudio too
oogway8020 commented on Today I released my first book about Ruby   leanpub.com/rubyonroda/c/... · Posted by u/sr-ruby-dev
oogway8020 · 5 years ago
I am a big fan of roda and especially sequel. Both libraries are masterfully developed and maintained by Jeremy Evans. While roda is very nice and offers some features like routing tree, I could live without it, padrino and rails are good too. Value of roda is in amazing stability of the library and great documentation and support from Jeremy. But for me it's the sequel that is irreplaceable. Sequel offers flexibility and code efficiency I haven't seen in any other DB query library. You'll have to pry sequel from my cold dead hands.

I am currently working on a small project that has to use some python libraries because they are just not available in ruby (CAD application). While I can use flask for routing, it's the DB query lib that makes me split it in two, roda+sequel for all front/back end, and passing json only to second part (python flask) that will generate required objects.

Good luck with your book.

oogway8020 commented on Ask HN: What are the best books on accounting/finance for CEOs?    · Posted by u/quotient
oogway8020 · 5 years ago
As a Software Developer, after working with CEO/CFO/Accountants on Managerial (Cost) Accounting Projects, I started appreciating it as one of the most important areas in the business. Started casually studying it so I can easier understand it in software requirements. If Costing Analysis and especially Overhead are important in your business, classic textbooks by Horngren and/or Garrison are great and also there is an excellent series on Managerial Accounting by prof. Mark Meldrum on youtube
oogway8020 commented on Show HN: Ruby One-Liners Cookbook   learnbyexample.github.io/... · Posted by u/asicsp
oogway8020 · 5 years ago
Ruby brings me joy of programming. Like this morning, doing a report for year, month and getting the last day of the month is absolute genius: Date.new(year, month, -1) # wow
oogway8020 commented on CadQuery: A Python parametric CAD scripting framework based on OCCT   github.com/CadQuery/cadqu... · Posted by u/OJFord
LegitShady · 5 years ago
You guys aren't manufacturing from the cad files, are you? Like convert to gcode and send to a CNC? Or is it just for models only.

I'm not in that industry, but it makes sense you'd have a use for it at least.

The thing is that fusion360/solidworks/etc does parametric modelling so can probably be used just as easily, with the added benefit of being industry standards.

oogway8020 · 5 years ago
Where I see potential for using tools as cadquery is with product type configurators which are often part of ERP software aka CPQ (Configure-Price-Quote). Cadquery generated model would be part of the Configure. Of course this wouldn't work for complex product, but there are companies out there that may need a configurator for relatively simple product

u/oogway8020

KarmaCake day35April 22, 2019View Original