Small fixes (#9)

MAINT: small fixes

_posts/2017-07-29-hello.md

@@ -1,7 +1,7 @@
 ---
 title: Hello World!
-excerpt: "This is the first post of what will hopefully be a cool blog. Hope you
-like it!"
+excerpt: "This is the first post of what will (hopefully) be a cool blog. Hope
+you like it!"
 header:
   overlay_image: https://upload.wikimedia.org/wikipedia/commons/5/5f/Utah_teapot_simple_2.png
   caption: "Photo credit: [Wikimedia Commons](https://upload.wikimedia.org/wikipedia/commons/5/5f/Utah_teapot_simple_2.png)"
@@ -11,5 +11,5 @@ last_modified_at: 2017-07-29
 [The Utah teapot!](https://en.wikipedia.org/wiki/Utah_teapot) (Basically the
 “hello world” of computer graphics.)
 
-This is the first post of what will hopefully be an interesting blog. Hope you
-like it!
+This is the first post of what will (hopefully) be a cool blog. Hope you like
+it!

_posts/2017-08-23-pyfolio.md

@@ -1,10 +1,8 @@
 ---
 title: "Portfolio Risk Analytics and Performance Attribution with Pyfolio"
-excerpt: "I was lucky enough to have the chance to intern at
-[Quantopian](https://www.quantopian.com/) this summer. During that time I
-contributed some exciting stuff to their open-source portfolio analytics engine,
-[`pyfolio`](https://github.com/quantopian/pyfolio), and learnt a truckload of
-stuff while doing it!"
+excerpt: "I interned at [Quantopian](https://www.quantopian.com/) this summer,
+where I contributed some exciting stuff to their open-source portfolio analytics
+engine, [`pyfolio`](https://github.com/quantopian/pyfolio). Check it out!"
 tags:
     - quant finance
     - pyfolio

_posts/2017-12-16-lda.md

@@ -1,9 +1,8 @@
 ---
 mathjax: true
 title: "Linear Discriminant Analysis for Starters"
-excerpt: "Linear discriminant analysis (commonly abbreviated to LDA, and not to
-be confused with latent Dirichlet allocation) is a very common dimensionality
-reduction technique for classification problems."
+excerpt: "Everything that you wanted to know (and more!) about linear
+discriminant analysis (LDA) — how it works, why it works, and how to use it."
 tags:
     - mathematics
 header:

_posts/2018-01-30-lupi.md

@@ -1,15 +1,15 @@
 ---
-mathjax: true
 title: ~~Fruit~~ Loops and Learning - The LUPI Paradigm and SVM+
-excerpt: "Here's a short story you might know: you have a black box, whose name is
-Machine Learning Algorithm. It's got two modes: training mode and testing mode."
+excerpt: "What is learning using privileged information (LUPI), how do I do it,
+and why should I care? A brief introduction to LUPI and SVM+."
 tags:
     - mathematics
     - machine learning
 header:
   overlay_image: /assets/images/cool-backgrounds/cool-background11.png
   caption: "Photo credit: [coolbackgrounds.io](https://coolbackgrounds.io/)"
 last_modified_at: 2018-01-30
+mathjax: true
 ---
 
 Here's a short story you might know: you have a black box, whose name is

_posts/2018-03-06-lda-sucks.md

@@ -1,7 +1,8 @@
 ---
 title: "Why Latent Dirichlet Allocation Sucks"
-excerpt: "As I learn more and more about data science and machine learning, I've
-noticed that a lot of resources out there go something like this…" 
+excerpt: "Latent Dirichlet allocation is a well-known and popular model in
+machine learning and natural language processing, but it really sucks sometimes.
+Here's why."
 tags:
     - machine learning
     - natural language processing

_posts/2018-03-18-reddit-clusters.md

@@ -1,9 +1,8 @@
 ---
 title: Understanding Hate Speech on Reddit through Text Clustering
-excerpt: "Have you heard of `/r/TheRedPill`? It’s an online forum (a subreddit, but I’ll
-explain that later) where people (usually men) espouse an ideology predicated
-entirely on gender. 'Swallowers of the red pill', as they call themselves,
-maintain that it is _men_, not women, who are socially marginalized…"
+excerpt: "A recent project on trying to model hate speech on Reddit through text
+clustering — from 'nimble navigators' to 'swamp creatures', 'spezzes' to the
+'Trumpire'."
 tags:
   - reddit
   - machine learning
@@ -333,8 +332,8 @@ repository](https://github.com/eigenfoo/reddit-clusters).
 ---
 
 **EDIT (11-08-2018):** If you're interested in the technical, data science side
-of the project, check out the slide deck and speaker notes from my recent talk
-on exactly that!
+of the project, check out the slide deck and speaker notes from [my recent
+talk](https://eigenfoo.xyz/reddit-slides/) on exactly that!
 
 ---
 

_posts/2018-06-19-bayesian-modelling-cookbook.md

@@ -1,9 +1,8 @@
 ---
 title: Cookbook — Bayesian Modelling with PyMC3
-excerpt: "Recently I've started using [PyMC3](https://github.com/pymc-devs/pymc3) for
-Bayesian modelling, and it's an amazing piece of software! The API only exposes
-as much of heavy machinery of MCMC as you need — by which I mean, just the
-`pm.sample()` method."
+excerpt: "This is a compilation of notes, tips, tricks and recipes for Bayesian
+modelling that I've collected from everywhere: papers, documentation, peppering
+my more experienced colleagues with questions."
 tags:
   - bayesianism
   - pymc3

_posts/2018-08-31-bayesian-bandits.md

@@ -1,10 +1,11 @@
 ---
 title: Multi-Armed Bandits, Conjugate Models and Bayesian Reinforcement Learning
-excerpt: "Let's talk about Bayesianism. It's developed a reputation (not
-entirely justified, but not entirely unjustified either) for being too
-mathematically sophisticated or too computationally intensive to work at scale."
+excerpt: "In this blog post I hope to show that there is more to Bayesianism than just
+MCMC sampling and suffering, by demonstrating a Bayesian approach to a classic
+reinforcement learning problem: the _multi-armed bandit_."
 tags:
   - bayesianism
+  - pymc3
   - reinforcement learning
   - machine learning
 header:

_posts/2018-10-13-matrix-factorizations.md

@@ -1,9 +1,8 @@
 ---
 title: Probabilistic and Bayesian Matrix Factorizations for Text Clustering
-excerpt: "Natural language processing is in a curious place right now. It was always a
-late bloomer (as far as machine learning subfields go), and it's not immediately
-obvious how close the field is to viable, large-scale, production-ready
-techniques."
+excerpt: "This blog post summarizes some literature on probabilistic and
+Bayesian matrix factorization methods, keeping an eye out for applications to
+one specific task in NLP: text clustering."
 tags:
   - bayesianism
   - natural language processing
@@ -36,7 +35,7 @@ future. Instead, I'll talk about something I know a bit about: simple solutions
 to concrete problems, with some Bayesianism thrown in for good measure
 :grinning:.
 
-This blog post will summarize some literature on probabilistic and Bayesian
+This blog post summarizes some literature on probabilistic and Bayesian
 matrix factorization methods, keeping an eye out for applications to one
 specific task in NLP: text clustering. It's exactly what it sounds like, and
 there's been a fair amount of success in applying text clustering to many other

_posts/2018-11-03-reddit-slides.md

@@ -1,9 +1,8 @@
 ---
 title: Modelling Hate Speech on Reddit — A Three-Act Play (Slide Deck)
-excerpt: "In this talk, I present a recent project to model hate speech on
-Reddit. In three acts, I chronicle the thought processes and stumbling blocks of
-the project, with each act applying a different form of machine learning:
-supervised learning, topic modelling and text clustering."
+excerpt: "A talk I gave about a recent project to model hate speech on Reddit.
+In this blog post, I describe the thought processes behind the project, and the
+stumbling blocks encountered along the way."
 tags:
   - reddit
   - machine learning

index.html

@@ -10,4 +10,3 @@
     <link rel="shortcut icon" href="/favicon.ico" type="image/x-icon">
     <link rel="icon" href="/favicon.ico" type="image/x-icon">
 </head>
-