Does anyone know of any good training for CDA/CCD besides the one offered by HL7?
If you know of any places that offer training or even good books on the subject please let me know.
"The CDA (tm) Book" written by Keith Boone is a kind of HL7 CDA R2 Bible.
Take a look at the Keith's blog http://motorcycleguy.blogspot.com.
Eclipse instance editor is the best tool for CDA learning and research. It comes with a lot of sample documents
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I know there are quite many hands-on tutorials about deploying BERT or other models. But the problem is many of them are just shallow user cases which only modified a few parameters using apis from a certain libraries such as keras. I am a novice and I often find my still confused at the details and variational steps when deploying pre-trained language models on my projects.
Could anyone give a hint on what is a better roadmap for learning coding with pre-trained language models, including any resources, articles, or tutorials, etc.
I have read many articles on Medium. But most articles there seems only introduc the general concepts, rather than providing the real know-how when learning it.
I find these two courses very novice-friendly:
Hugging Face course
https://huggingface.co/course/chapter1/1
Deep Lizard "Deep Learning Fundamentals - Classic Edition"
https://deeplizard.com/learn/playlist/PLZbbT5o_s2xq7LwI2y8_QtvuXZedL6tQU
I am interested to know which online tool is the best for the classification of genetic variants according to ACMG standards and guidelines?
Free access for everyone and showing literature-based pieces of evidence are the most important criteria since the tool must be reliable.
Thank you all for your comments
I'm trying to find a good high level explanation of how statistical machine translation works. That is, supposing I have a corpus of non-aligned English, French and German texts, how could I use that to translate any sentence from one language to another ? It's not that I'm looking to build a Google Translate myself, but I'd like to understand how it works in more detail.
I've seen searched Google but come across nothing good, it either quickly needs advanced mathematics knowledge to understand or is way too generalized. Wikipedia's article on SMT seems to be both, so it doesn't really help much. I'm skeptical that this is such a complex area that it's simply not possible to understand without all the mathematics.
Can anyone give, or know of, a general step-by-step explanation of how such a system works, targeted towards programmers (so code examples are fine) but without needing a mathematics degree to understand ? Or a book that's like this would be great too.
Edit: A perfect example of what I'm looking for would be an SMT equivalent to Peter Norvig's great article on spelling correction. That gives a good idea of what it's involved in writing a spell checker, without going into detailed maths on Levenshtein/soundex/smoothing algorithms etc...
Here is a nice video lecture (in 2 parts):
http://videolectures.net/aerfaiss08_koehn_pbfs/
For in-depth details, I highly advise this book:
http://www.amazon.com/Statistical-Machine-Translation-Philipp-Koehn/dp/0521874157
Both are from the guy who created the most widely used MT system in research. It covers all the fundamental stuff, is very well explained and accurate. This probably one of the de-facto standard books that any researcher beginning in this field should read.
The Atlantic Online had a very straightforward nontechnical description of statistical machine translation back in December 1998:
Lost in Translation by Stephen Budiansky
I've read nontechnical stuff on statistical MT before but always wondered "yeah but how does the statistical stuff know which words map to which when word orders vary and supposedly no dictionary and no grammar are used?" Well this article actually does answer that and it's simple and straightforward and I was quite surprised.
A Peter Norvig talk from Google Developer Day 2007, Theorizing from Data: Avoiding the Capital Mistake, contains some accessible high-level explanation of the principles of statstical machine translation (starting from about 21:20).
I greatly enjoyed Douglas Crockford's recent lecture series, particularly the talk which covered the history of programming languages. I'd like to learn about this subject in more detail.
Consider this question language agnostic. I'm not interested in books that teach programming. I'm interested in books which discuss decisions made during the design of one or more languages.
Following three are IMO the must-read books for any programming langauges junky :)
Project Oberon by Niklaus Wirth
Language Implementation Patterns by Terence Parr
Programming Language Pragmatics by Michael Scott
Every 15 years, the ACM puts on a History of Programming Languages conference (affectionately known as HoPL). The proceedings are of exceptionally high quality, and are available, unfortunately only behind the ACM paywall. (However, if you access them from a university, college or school IP address, you should be able to access them.)
For HoPL-III (2007), Guido van Rossum wanted to submit a paper about Python, but he wasn't able to meet the review requirements in time, so he published it in form of a blog instead.
Several presenters also published their papers for free, in addition to the official conference proceedings. Also, several presenters gave the same talk again, at a different venue. For example, Guy L. Steele, Jr. and Richard P. "Dick" Gabriel repeated their "50 in 50" talk (which, as you can imagine if you've ever seen a talk by Guy Steele or Dick Gabriel, is not really a talk, more like multimedia performance art crossed with poetry slam meets Broadway), which presents 50 programming languages in 50 words each.
As #Missing Faktor mentioned above, not only Project Oberon, but all of Niklaus Wirth's languages are tremendously well documented: Algol-60, Algol-X, Algol-W, Pascal, Modula-2, and Oberon.
Structure and Interpretation of Computer Programs. I have a print copy, but it's now available online for free:
http://mitpress.mit.edu/sicp/full-text/book/book-Z-H-4.html#%_toc_start
The Design and Evolution of C++
http://www2.research.att.com/~bs/dne.html
Programming Language Essentials
Rationale for the Design of the Ada Programming Language:
http://www.amazon.com/Rationale-Design-Programming-Language-Companion/dp/0521392675
Although the book discusses the original version of the language, it still makes interesting reading. For each design decision, rationale and discussion is included, both from the point view the programmer and compiler implementer.
"Architecture of Concurrent Programs", by the late Per Brinch Hansen, includes a good overview of the design and rationale for his Concurrent Pascal language, which added monitors (and other things) to his Sequential Pascal, a proper subset of Pascal.
The big thing missing from Sequential Pascal is pointers. However, given the restrictions intended to be placed on Sequential Pascal programs, everything you can do with a pointer you can also do with an array index, and in a more secure way, "secure" in the sense that it is impossible (and checked by the compiler!) to do illegal things.
On stack overflow, I see that there is referred to Wikipedia a lot. However, I'm often not sure whether they are the definite authority for very specific software development related concepts. For example, I have recently looked for definitions of the terms web server/service and RPC/IPC, and the responses I get very often refer to Wikipedia (directly and indirectly).
Hence my question: which sources do you trust the most for definitions of software development jargon?
http://www.google.com
And no, this isn't being tongue-in-cheek.
Personally I used to trust Wikipedia, and I still read it to get an idea about the subject. But definitely books are better choice. Because they not only have a "compressed" explanation but also provide an examples and give broader description. As professors of my university say, don't trust wikipedia, search for an authorized source. For example a huge information about web service technology you can find in the book Building Web Services with Java - Making Sense of XML, SOAP, WSDL, UDDI - 2nd Edition 2005. It contains information you'll never find in Wikipedia or even in Google (Unless you'll find this book using it ;) ).
Hope this helps.
Google and technical & non-technical software development books.
"A Story Culture" may be a useful read for you as you want something other than a dictionary, IMO. You want something with the knowledge and wisdom of the topic rather than simply what does this mean. For example, there are a couple of blog posts about Technical Debt that I really like to use for reference about the subject, one from Steve McConnell and one from Martin Fowler.
While I can generally suggest going to the source for the term, there is something to be said for a term getting overloaded or overused so that it can have little meaning. There are a few folks' blogs that I can say I trust to get some understanding on a subject including Joels and Jeffs, but don't forget that each of us has a brain and we shouldn't be afraid to use it.