Jeremy Howard - Data Scientist

Array Cast - July 8, 2022
Show Notes

[01] 00:01:15 Dyalog Problem /solving Contest https://contest.dyalog.com/?goto=welcome
[02] 00:01:35 Dyalog Early Bird Discount https://www.dyalog.com/user-meetings/dyalog22.htm
[03] 00:02:40 Jeremy Howard wikipedia https://en.wikipedia.org/wiki/Jeremy_Howard_(entrepreneur)
Fastmail https://www.fastmail.com/
Optimal Decisions Group https://www.finextra.com/newsarticle/18047/choicepoint-acquires-insurance-analytics-firm-optimal-decisions
[04] 00:04:30 APL Study Group https://forums.fast.ai/t/apl-array-programming/97188
[05] 00:05:50 McKinsey and Company https://en.wikipedia.org/wiki/McKinsey_%26_Company
[06] 00:10:20 AT Kearney https://en.wikipedia.org/wiki/AT_Kearney
[07] 00:12:33 MKL (Intel) https://en.wikipedia.org/wiki/Math_Kernel_Library
[08] 00:13:00 BLAS http://www.netlib.org/blas/
[09] 00:13:11 Perl BQN https://mlochbaum.github.io/BQN/running.html
[10] 00:14:06 Raku https://en.wikipedia.org/wiki/Raku_%28programming_language%29
[11] 00:15:45 kaggle https://www.kaggle.com/
kaggle competition https://www.kaggle.com/competitions/unimelb/leaderboard
[12] 00:16:52 R https://en.wikipedia.org/wiki/R_(programming_language)
[13] 00:18:50 Neural Networks https://en.wikipedia.org/wiki/Artificial_neural_network
[14] 00:19:50 Enlitic https://www.enlitic.com/
[15] 00:20:01 Fast.ai https://www.fast.ai/about/
[16] 00:21:02 Numpy https://numpy.org/
[17] 00:21:26 Leading Axis Theory https://aplwiki.com/wiki/Leading_axis_theory
[18] 00:21:31 Rank Conjunction https://code.jsoftware.com/wiki/Vocabulary/quote
[19] 00:21:40 Einstein notation https://en.wikipedia.org/wiki/Einstein_notation
[20] 00:22:30 GPU https://en.wikipedia.org/wiki/Graphics_processing_unit
[21] 00:22:55 CUDA https://en.wikipedia.org/wiki/CUDA
[22] 00:23:30 Map https://en.wikipedia.org/wiki/Map_(higher-order_function)
[23] 00:24:05 Data Science https://en.wikipedia.org/wiki/Data_science
[24] 00:25:15 First Neural Network https://en.wikipedia.org/wiki/Frank_Rosenblatt
[25] 00:28:51 Numpy Another Iverson Ghost https://dev.to/bakerjd99/numpy-another-iverson-ghost-9mc
[26] 00:30:11 Pivot Tables https://en.wikipedia.org/wiki/Pivot_table
[27] 00:30:36 SQL https://en.wikipedia.org/wiki/SQL
[28] 00:31:25 Larry Wall "The three chief virtues of a programmer are: Laziness, Impatience and Hubris."
From the glossary of the first Programming Perl book.
[29] 00:32:00 Python https://www.python.org/
[30] 00:36:25 Regular Expressions https://en.wikipedia.org/wiki/Regular_expression
[31] 00:36:50 PyTorch https://pytorch.org/
[32] 00:37:39 Notation as Tool of Thought https://www.jsoftware.com/papers/tot.htm
[33] 00:37:55 Aaron Hsu codfns https://scholarworks.iu.edu/dspace/handle/2022/24749
[34] 00:38:40 J https://www.jsoftware.com/#/
[35] 00:39:06 Eric Iverson on Array Cast https://www.arraycast.com/episodes/episode10-eric-iverson
[36] 00:40:18 Triangulation Jeremy Howard https://www.youtube.com/watch?v=hxB-rEQvBeM
[37] 00:41:48 Google Brain https://en.wikipedia.org/wiki/Google_Brain
[38] 00:42:30 RAPIDS https://rapids.ai/
[39] 00:43:40 Julia https://julialang.org/
[40] 00:43:50 llvm https://llvm.org/
[41] 00:44:07 JAX https://jax.readthedocs.io/en/latest/notebooks/quickstart.html
[42] 00:44:21 XLA https://www.tensorflow.org/xla
[43] 00:44:32 MILAR https://www.tensorflow.org/mlir
[44] 00:44:42 Chris Lattner https://en.wikipedia.org/wiki/Chris_Lattner
[45] 00:44:53 Tensorflow https://www.tensorflow.org/
[46] 00:49:33 torchscript https://pytorch.org/tutorials/beginner/Intro_to_TorchScript_tutorial.html
[47] 00:50:09 Scheme https://en.wikipedia.org/wiki/Scheme_(programming_language)
[48] 00:50:28 Swift https://en.wikipedia.org/wiki/Swift_(programming_language)
[49] 00:51:10 DragonBox Algebra https://dragonbox.com/products/algebra-12
[50] 00:52:47 APL Glyphs https://aplwiki.com/wiki/Glyph
[51] 00:53:24 Dyalog APL https://www.dyalog.com/
[52] 00:54:24 Jupyter https://jupyter.org/
[53] 00:55:44 Jeremy's tweet of Meta Math https://twitter.com/jeremyphoward/status/1543738953391800320
[54] 00:56:37 Power function https://aplwiki.com/wiki/Power_(function)
[55] 01:03:06 Reshape ⍴ https://aplwiki.com/wiki/Reshape
[56] 01:03:40 Stallman 'Rho, rho, rho' https://stallman.org/doggerel.html#APL
[57] 01:04:20 APLcart https://aplcart.info/
BQNcrate https://mlochbaum.github.io/bqncrate/
[58] 01:06:12 J for C programmers https://www.jsoftware.com/help/jforc/contents.htm
[59] 01:07:54 Transpose episode https://www.arraycast.com/episodes/episode29-transpose
[60] 01:10:00 APLcart video https://www.youtube.com/watch?v=r3owA7tfKE8
[61] 01:12:28 Functional Programming https://en.wikipedia.org/wiki/Functional_programming
[62] 01:13:00 List Comprehensions https://docs.python.org/3/tutorial/datastructures.html#list-comprehensions
[63] 01:13:30 BQN to J https://mlochbaum.github.io/BQN/doc/fromJ.html
BQN to Dyalog APL https://mlochbaum.github.io/BQN/doc/fromDyalog.html
[64] 01:18:15 Einops https://cgarciae.github.io/einops/1-einops-basics/
[65] 01:19:30 April Fools APL https://ci.tc39.es/preview/tc39/ecma262/sha/efb411f2f2a6f0e242849a8cc8d7e21bbcdff543/#sec-apl-expression-rules
[66] 01:20:35 Flask library https://flask.palletsprojects.com/en/2.1.x/
[67] 01:21:22 JuliaCon 2022 https://juliacon.org/2022/
[68] 01:28:05 Myelination https://en.wikipedia.org/wiki/Myelin
[69] 01:29:15 Sanyam Bhutani interview https://www.youtube.com/watch?v=g_6nQBsE4pU&t=2150s
[70] 01:31:27 Jo Boaler Growth Mindset https://www.youcubed.org/resource/growth-mindset/
[71] 01:33:45 Discovery Learning https://en.wikipedia.org/wiki/Discovery_learning
[72] 01:37:05 Iverson Bracket https://en.wikipedia.org/wiki/Iverson_bracket
[73] 01:39:14 Radek Osmulski Meta Learning https://rosmulski.gumroad.com/l/learn_machine_learning
[74] 01:40:12 Top Down Learning https://medium.com/@jacksonbull1987/top-down-learning-4743f16d63d3
[75] 01:41:20 Anki https://apps.ankiweb.net/
[76] 01:43:50 Lex Fridman Interview https://www.youtube.com/watch?v=J6XcP4JOHmk
Deep Talks #54 https://www.youtube.com/watch?v=n7YVlPszaWc0