🔖 [1803.05316] Seven Sketches in Compositionality: An Invitation to Applied Category Theory

Bookmarked Seven Sketches in Compositionality: An Invitation to Applied Category Theory by Brendan Fong, David I. Spivak (arxiv.org)
This book is an invitation to discover advanced topics in category theory through concrete, real-world examples. It aims to give a tour: a gentle, quick introduction to guide later exploration. The tour takes place over seven sketches, each pairing an evocative application, such as databases, electric circuits, or dynamical systems, with the exploration of a categorical structure, such as adjoint functors, enriched categories, or toposes. No prior knowledge of category theory is assumed. [.pdf]
This is the textbook that John Carlos Baez is going to use for his online course in Applied Category Theory.

👓 Why Tweet? | Confessions of a Community College Dean

Some interesting and generally useful insight here. Sadly I didn’t see his Twitter handle attached to the post–at least on the mobile version. So much for the “promotion” accusation…

🔖 [1803.09745] English verb regularization in books and tweets | arXiv

Bookmarked [1803.09745] English verb regularization in books and tweets by Tyler J. Gray, Andrew J. Reagan, Peter Sheridan Dodds, Christopher M. Danforth (arxiv.org)
The English language has evolved dramatically throughout its lifespan, to the extent that a modern speaker of Old English would be incomprehensible without translation. One concrete indicator of this process is the movement from irregular to regular (-ed) forms for the past tense of verbs. In this study we quantify the extent of verb regularization using two vastly disparate datasets: (1) Six years of published books scanned by Google (2003--2008), and (2) A decade of social media messages posted to Twitter (2008--2017). We find that the extent of verb regularization is greater on Twitter, taken as a whole, than in English Fiction books. Regularization is also greater for tweets geotagged in the United States relative to American English books, but the opposite is true for tweets geotagged in the United Kingdom relative to British English books. We also find interesting regional variations in regularization across counties in the United States. However, once differences in population are accounted for, we do not identify strong correlations with socio-demographic variables such as education or income. [.pdf]

🔖 [1803.08823] A high-bias, low-variance introduction to Machine Learning for physicists | arXiv

Bookmarked A high-bias, low-variance introduction to Machine Learning for physicists by Pankaj Mehta, Marin Bukov, Ching-Hao Wang, Alexandre G.R. Day, Clint Richardson, Charles K. Fisher, David J. Schwab (arxiv.org)
Machine Learning (ML) is one of the most exciting and dynamic areas of modern research and application. The purpose of this review is to provide an introduction to the core concepts and tools of machine learning in a manner easily understood and intuitive to physicists. The review begins by covering fundamental concepts in ML and modern statistics such as the bias-variance tradeoff, overfitting, regularization, and generalization before moving on to more advanced topics in both supervised and unsupervised learning. Topics covered in the review include ensemble models, deep learning and neural networks, clustering and data visualization, energy-based models (including MaxEnt models and Restricted Boltzmann Machines), and variational methods. Throughout, we emphasize the many natural connections between ML and statistical physics. A notable aspect of the review is the use of Python notebooks to introduce modern ML/statistical packages to readers using physics-inspired datasets (the Ising Model and Monte-Carlo simulations of supersymmetric decays of proton-proton collisions). We conclude with an extended outlook discussing possible uses of machine learning for furthering our understanding of the physical world as well as open problems in ML where physicists maybe able to contribute. (Notebooks are available at this https URL )
I had a long hair cat named Tycho (a Maine coon/Russian Gray mix?) for 12 years, and I don’t think in his entire life he shed as much fur as my German Shepherd Lily has shed in the past two weeks. (This doesn’t count the 20 pounds of fur I’ve bushed off of her with a Furminator in the past week either.)

Time to buy a robot vacuum cleaner I think.

📺 Ricky Gervais: Humanity | Netflix

Watched Ricky Gervais: Humanity (2018) by Ricky Gervais from Netflix
Live performance of British comedian Ricky Gervais filmed in London's Eventim Apollo.
I watched this in pieces over the last two evenings and finished of the tail end at lunch today.

I’ve often thought of Gervais simply as a crass entertainer, but there are so many interesting new dimensions which come out in “Humanity”, they give me newfound respect for who he is and what he’s doing now. This is far more complex than just simple comedy, he’s doing something much more significant with this particular performance.

I also haven’t laughed this hard in quite a while. Tears, literally tears. Perhaps most interesting is that he’s got a much wider range of emotions which he’s playing off of here than just the humorous.

Gervais has some really interesting philosophy hiding in here among the dark humor. He has an interesting take on comedy and what it does and doesn’t target. The bit at the end on social media was particularly interesting. His take on “The Commons” is quite solid and is something I don’t suspect many could expound upon so eloquently.

During the portion in which he talks about his favorite Twitter response ever, he looked down at his phone to quote the tweet. I was reminded of some of the comedy greats I’ve seen at clubs late at night reading out of their beat up notebooks to try out new material. For a moment I thought, “perhaps Gervais is trying out some new material live here.” If it’s the case, then he was genius, though I suspect now that it was just a useful prop to add to the narrative of the joke. Either way, just brilliant. I wonder when we’ll see comics at clubs reading off of phones instead of the old spiral bounds? I wonder if it’ll play an better than the index card or notebook?

His closer with the story about his mum’s death and the wonderful prank on the poor vicar put a wonderfully fine point on the entire piece. It is humanity indeed. If there were a god, I’m sure he’d bless Ricky Gervais.

🎧 This Week in Tech 659 A Game of Hold My Beer | TWiT.TV

Listened to This Week in Tech 659 A Game of Hold My Beer by Leo Laporte, Harry McCracken, Denise Howell, Iain Thomson from TWiT.tv

More revelations in the Facebook / Cambridge Analytica scandal. Congress sneaks the CLOUD Act into the omnibus spending bill. Craigslist takes down personal ads in first of many unintended consequences of SESTA/FOSTA Act. Uber may be at fault for self-driving death. Child porn in the Bitcoin blockchain.

📺 “Cooks vs. Cons” Fry, Fry Again! | Food Network

Watched "Cooks vs. Cons" Fry, Fry Again! from Food Network
Directed by Luke Riffle. With Geoffrey Zakarian, Alex Guarnaschelli, Simon Majumdar. The pros and amateurs must use pineapple in their fried chicken dish for the first round; the cooks and cons make potato dishes in the second round; Alex Guarnaschelli and Simon Majumdar are the judges.

👓 Applied Category Theory – Online Course | John Carlos Baez

Some awesome news just as I’ve wrapped up a class on Algebraic Geometry and was actively looking to delve into some category theory over the summer. John Carlos Baez announced that he’s going to offer an online course in applied category theory. He’s also already posted some videos and details!

👓 MSU spent $500K in January to monitor social media accounts of Nassar victims, others | Lansing State Journal

I can’t imagine that they even came close to getting $500K worth of value out of whatever this company produced for them.

🎧 This Week in Google 449 Grackles, Nuthatches, and Swifts, Oh My! | TWiT.TV

Listened to This Week in Google 449 Grackles, Nuthatches, and Swifts, Oh My! | TWiT.TV by Leo Laporte, Jeff Jarvis, Stacey Higginbotham from TWiT.tv

Facebook and the Cambridge Analytica scandal. Google News Initiative will fight fake journalism. Uber self-driving car not at fault for killing pedestrian. Congress passes SESTSA/FOSTA. The city that banned bitcoin mining.

  • Jeff's Number: Amazon is #2
  • Stacey's Thing: Alexa Kids Court
  • Leo's Tool: Samsung My BP Lab