They do, but not when you read character by character, and some are too long
descriptively like "black pointing right arrow" or stuff like that.
I translate the thing, usually try to get the original latex source from my
supervisor. If it's a pdf, you can use pandoc to switch from pdf to mark down,
then translate each $ enclosure with a python script.
On 3/04/2016, at 12:21 AM, Andy B. <sonfire11@xxxxxxxxx> wrote:
How do you deal with math expressions on a MAC? Some symbols work. However,
from what I can tell, most don’t.
On Apr 2, 2016, at 5:11 AM, Yuma Decaux <jamyad7@xxxxxxxxx> wrote:
Hi,
The reason I personally resigned using math ml is because of how it presents
the equations in html. Maybe it seems better on a jaws screen reader but I
exclusively use the mac as I like the fact that I can connect to linux boxes
and use the command line easily. It seems windows will have its own bash
shell soon, probably an incentive to try out the windows platform as it has
a better environment for c sharp coding.
I would definetely create each section of machine learning as a set of small
applications to explain each concept. This is how the stanford coursera
course content is made up. I took my course with this online version in
parallel and the various sections each give you an idea of why the technique
is used then you apply it on something concrete, such as estimating
something from a value which does not exist (projection into the future),
choosing which letter is most probable on an image, neural networks for
finding out what an image represents, making a recommender system, encoding
and decoding data, etc.
Hopefully I can move my butt to transform my notes into clearly explained
html format or fire up my wordpress and create an ML section and add some
explanations on why such and such would help.
Cheers,
On 1/04/2016, at 4:08 PM, QuentinC <quentinc@xxxxxxxxxxx> wrote:
Hello all,
Personally I don't mind not having jaws translating from LaTeX formulas to
human readable text; that's mostly a question of habits. I did all my
studies in that way and it never caused problems to me. I don't mind this
probably because I'm used to programming in a pair of languages, and LaTeX
is, after all, just another programming language. I'm still 2 or 3 times
slower than sighted people of course.
But if you need the transformation from LaTeX to human readable form, i.e.
translate \sqrt{\frac{x}{2}} into square root of x over 2, I think that
MathPlayer does a pretty good job. It also seems that MathPlayer + MathType
for word is working quite well if you go back and forth between LaTeX
notation and MathType graphical form.
Some time ago, I saw a jaws script to make also this kind of translation;
unfortunately I don't remember the name of the thing.
It's just sad that MathML isn't more widely used on web pages. The math
equation viewer of Jaws 16+ also does a pretty good job in making math
readable. I especially hope that wikipedia and wikibooks will switch to
MatML, because they are not so bad sources to learn math and physics
otherwise.
I'm also interested in learning a bit of machine learning. Though
personally, I would prefer have a course that first present the thing in a
practical fashion, i.e. solving a simple game like tic tac toe with
neuronal network, or write a dummy anti-spam program based on bayesian
learning, just with at least theory as possible, and only then dive into
what's going under the hood with the hard maths; in short, being first of
all ludic and have fun, in the opposite of classical university courses we
all already have or have had.
Similarely, another course on signal processing exclusively focused on
audio could also be very interesting. Usual courses mix both video/photo
and audio processing in parralel, what makes the thing quite difficult to
learn for us.
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