livingthing.danmackinlay.name

The Living Thing / Notebooks

The Living Thing / Notebooks. Here is everything I. Am publicly taking notes on at the moment. [1]. This means: these are topics I do. Understand, but wish to inform myself about. All conclusions are provisional, all ideas are wild-eyed and half-baked and nothing, at all, has been reviewed. You’re welcome. This is everything smushed together. I also maintain lists of just the notebooks. 8212;- which I continue to update, and just the blogposts. Running a secure server. Differentiable learning of automata.

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The Living Thing / Notebooks | livingthing.danmackinlay.name Reviews

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The Living Thing / Notebooks. Here is everything I. Am publicly taking notes on at the moment. [1]. This means: these are topics I do. Understand, but wish to inform myself about. All conclusions are provisional, all ideas are wild-eyed and half-baked and nothing, at all, has been reviewed. You’re welcome. This is everything smushed together. I also maintain lists of just the notebooks. 8212;- which I continue to update, and just the blogposts. Running a secure server. Differentiable learning of automata.

<META> KEYWORDS

1 all the stuff

2 machine listening

3 tensorflow

4 probabilistic neural networks

5 javascript/browser data visualisations

6 javascript user interfaces

7 javascript apps

8 message passing algorithms

9 controllerism

10 supercollider

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all the stuff,machine listening,tensorflow,probabilistic neural networks,javascript/browser data visualisations,javascript user interfaces,javascript apps,message passing algorithms,controllerism,supercollider,arpeggiate by numbers,kernel approximation

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The Living Thing / Notebooks | livingthing.danmackinlay.name Reviews

https://livingthing.danmackinlay.name

The Living Thing / Notebooks. Here is everything I. Am publicly taking notes on at the moment. [1]. This means: these are topics I do. Understand, but wish to inform myself about. All conclusions are provisional, all ideas are wild-eyed and half-baked and nothing, at all, has been reviewed. You’re welcome. This is everything smushed together. I also maintain lists of just the notebooks. 8212;- which I continue to update, and just the blogposts. Running a secure server. Differentiable learning of automata.

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livingthing.danmackinlay.name

1

The Living Thing / Notebooks : Javascript apps

https://livingthing.danmackinlay.name/javascript_apps.html

The Living Thing / Notebooks. On the creation and testing of apps based on Javascript and possibly HTML5. Covered elsewhere. It’s called the web. Except there is a wrinkle of interest to some of us -offline mode. Tech allows you to serve a web app even without connectivity. I don’t care enough about this to really understand the API. I just cargo culted enough bits to make it go. Seems to work. You can do a lot by just hosting a webpage somewhere, and even some things with an HTML. And their ilk work.

2

The Living Thing / Notebooks : Javascript/Browser data visualisations

https://livingthing.danmackinlay.name/javascript_visualisations.html

The Living Thing / Notebooks. If you want to do SVGs, snap.js. Is a modern svg library by the author of raphaël.js. The mothership, d3.js. Extensions for common graph needs, plottable.js. For people using react.js, Victory. Animation using velocity.js. Is statistics oriented charting. $20/month though and no open-source version so beware lock-in. Hip new node.js server-based thing. Is also statistics oriented charting. Graphs audio files for you. And generate interactive views using either HTML5. App, wi...

3

The Living Thing / Notebooks : Matrix factorisation, approximate

https://livingthing.danmackinlay.name/matrix_factorisation.html

The Living Thing / Notebooks. Matrix factorisation, approximate. Your big matrix is the product (or sum, or…) of two matrices that are in some way simple (small-rank, small dimension, sparse), possibly with additional constraints. Can you find these simple matrices? Here’s an example. Godec. 8212;- A decomposition into low-rank. Sparse components. (looks combined multidimensional factorisation and outlier detection). Implementations for MATLAB. Which I think is a classic. I should explain why. T = I and ...

4

The Living Thing / Notebooks : Message passing algorithms

https://livingthing.danmackinlay.name/message_passing.html

The Living Thing / Notebooks. I see these popping up in graphical model. Inference, in time-series, and in variational approximation. The grandparent idea seems to be Belief propagation , a.k.a. sum-product message-passing , credited to (Pearl, 1982) for DAGs and then generalised to MRFs, PGMs, factor graphs. Etc Although I gather from passing reference that many popoular algorithms also happen to be message-passing-type ones. Anyway, what the hell are these things? Minimizes α-divergence, (D alpha(p q) ).

5

The Living Thing / Notebooks : Automatic differentiation

https://livingthing.danmackinlay.name/autodiff.html

The Living Thing / Notebooks. Getting your computer to tell you the gradient of a function, without resorting to finite difference approximation. There seems to be a lot of stuff to know here infinitesimal/Taylor series formulations and computational complexity. Reverse-mode (backprop) versus forward mode, computational graph computation etc. There is a beautiful explanation of the basics by Sanjeev Arora and Tengyu Ma. You might want to do this for optimisation. See also symbolic mathematical calculators.

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