1/ A ∞-wide NN of *any architecture* is a Gaussian process (GP) at init. The NN in fact evolves linearly in function space under SGD, so is a GP at *any time* during training. https://t.co/v1b6kndqCk With Tensor Programs, we can calculate this time-evolving GP w/o trainin any NN
https://t.co/6RO7VZDQNZ
https://t.co/OOoOMdPOsR
More from Data science
Here is a compilation of resources (books, videos & papers) to get you going.
(Note: It's not an exhaustive list but I have carefully curated it based on my experience and observations)
📘 Mathematics for Machine Learning
by Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong
https://t.co/zSpp67kJSg
Note: this is probably the place you want to start. Start slowly and work on some examples. Pay close attention to the notation and get comfortable with it.
📘 Pattern Recognition and Machine Learning
by Christopher Bishop
Note: Prior to the book above, this is the book that I used to recommend to get familiar with math-related concepts used in machine learning. A very solid book in my view and it's heavily referenced in academia.
📘 The Elements of Statistical Learning
by Jerome H. Friedman, Robert Tibshirani, and Trevor Hastie
Mote: machine learning deals with data and in turn uncertainty which is what statistics teach. Get comfortable with topics like estimators, statistical significance,...
📘 Probability Theory: The Logic of Science
by E. T. Jaynes
Note: In machine learning, we are interested in building probabilistic models and thus you will come across concepts from probability theory like conditional probability and different probability distributions.
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What a weekend celebrating makers looks like.
A thread
👇Read on
Let's start with a crazy view of what @ProductHunt looked like on Sunday
Download image and upload
A top 7 with:
https://t.co/6gBjO6jXtB @Booligoosh
https://t.co/fwfKbQha57 @stephsmithio
https://t.co/LsSRNV9Jrf @anthilemoon
https://t.co/Fts7T8Un5M @J_Tabansi
Spotify Ctrl @shahroozme
https://t.co/37EoJAXEeG @kossnocorp
https://t.co/fMawYGlnro
If you want some top picks, see @deadcoder0904's thread,
We were going to have a go at doing this, but he nailed it.
It also comes with voting links 🖐so go do your
#24hrsstartup was an amazing event
— Akshay Kadam(A2K) \U0001f47b (@deadcoder0904) November 19, 2018
I never went to a hackathon but this just felt like one even though I was just watching \U0001f440
Everyone did great but there were a few startups that I personally loved \U0001f496
Some of my favorites are in the thread below\U0001f447
Over the following days the 24hr startup crew had more than their fair share of launches
Lots of variety: web, bots, extensions and even native apps
eg. @jordibruin with
\U0001f3a8\U0001f3c3\u200d\u2640\ufe0f DrawRun just launched on Product Hunt! Idea to App Store to Product Hunt in 68 hours!\u2070\u2070https://t.co/mxnLZ8FRSu
— Jordi Bruin (@jordibruin) November 20, 2018
Thanks for the motivation @thepatwalls @arminulrich @_feloidea
Five billionaires share their top lessons on startups, life and entrepreneurship (1/10)
I interviewed 5 billionaires this week
— GREG ISENBERG (@gregisenberg) January 23, 2021
I asked them to share their lessons learned on startups, life and entrepreneurship:
Here's what they told me:
10 competitive advantages that will trump talent (2/10)
To outperform, you need serious competitive advantages.
— Sahil Bloom (@SahilBloom) March 20, 2021
But contrary to what you have been told, most of them don't require talent.
10 competitive advantages that you can start developing today:
Some harsh truths you probably don’t want to hear (3/10)
I\u2019ve gotten a lot of bad advice in my career and I see even more of it here on Twitter.
— Nick Huber (@sweatystartup) January 3, 2021
Time for a stiff drink and some truth you probably dont want to hear.
\U0001f447\U0001f447
10 significant lies you’re told about the world (4/10)
THREAD: 10 significant lies you're told about the world.
— Julian Shapiro (@Julian) January 9, 2021
On startups, writing, and your career: