Hi,
What impresses me in Juma's work is that he mentioned being able to
produce readable math html from pdf files. I don't care for the exact
format as far as it is really readable. For years I have considered pdf
files as a lost cause and if there is a working way to extract
information from them, it will make accessible lots of textbooks,
articles and papers.
I also would like to see those lecture notes by the way. :)
Dzhovani
On 1.4.2016 г. 09:33 ч., Parham Doustdar wrote:
Hi Yuma,
It would be wonderful if you could put up your courses for others to
use. I have always been able to reason (and outreason) my professors
when it came to databases and programming concepts, but in maths, I
feel like a sheep being led by the horns. Not a good analogy, but you
get my drift. :-)
On 4/1/2016 1:51 AM, Yuma Decaux wrote:
Hi,
This is why I would like to start blogging about all of my math
excursions from blindness to understanding it all. The machine
learning part was hard, yes, but it's a process from fundamentals to
higher mathematics which ML is clearly in. If you don't know how
vectors and matrices work, although they are easy to express in
matlab, you won't get much intuition into why one things does what.
I've been battling with my faculty heads for the past 3 years to get
all their material accessible, no simple task. But gradually with the
people I meet, I am able to assemble a pretty robust system for
adapting these concepts to non visual form.
Also, since I've taken the ML course and got a distinction for it,
this means I know the material inside out. My Tutor told me that as a
sighted ML expert doing a PHD, he thought it was a massive
undertaking to do maths. So I'm not sugar coating this, but just like
guitars or other challenges, it's about the hours put into it. If you
don't put the hours, it won't work for you. The same tutor had a few
moments where he felt lacking in maths as I argued my way
mathematically as to why such and such does that and only that and
why not otherwise, etc. You acquire a mathematical sense of things,
and it really works for all computer science related courses since
they all stem from the basis language, maths.
I think I will try to put all my course notes up so you can
understand each concept. This will work very well for me too as it
will challenge me to explain it for visual impairment.
Cheers,
On 1/04/2016, at 6:00 AM, Lucas Radaelli <lucasradaelli@xxxxxxxxx>
wrote:
I also tried to learn machine learning for a long time by myself.
it was very hard. finding accessible material, specially the math
background that is necessary was almost impossible.
Tried to follow some courses on coursera but did not have much success.
I think that the best way to approach this would be -- hire a bunch
of people to get a machine learning book and some math books and
adapt them to us, writing all the equations in LaTeX...
you know... this will require a lot of money unfortunately.
On 31/03/2016 11:47, Parham Doustdar wrote:
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I'm not finding any accessible way of learning mathematics online.
I am trying to learn machine learning, and I'm finding that I
cannot understand the math knowledge required for it, and when
googling, I come up with charts and formulae that cannot be read
with screen readers.
I personally learn when the knowledge presented to me explains the
'why'. For example, instead of just saying variance is calculated
by deducting the mean from each number in our data set, squaring
the results, and then getting an average, I would like to know why
we are squaring the results there. As a matter of fact, I spent
about rhity minutes trying to figure out the answer to this simple
question on the net, and my answer was that this is to prevent our
results from canceling each other out, and to make them give a much
more exact number when the variance of our data is small.
Based on this method of learning, what resources do you recommend
for learning mathematics and statistics?
Thanks!
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