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1.
A framework for grading your performance on programming interview problems
(
docs.google.com
)
251 points
by
danielgh7
on Oct 17, 2021
|
232 comments
2.
Neural Networks from Scratch
(
aegeorge42.github.io
)
376 points
by
bane
on Oct 9, 2021
|
75 comments
3.
Understanding Python through its builtins
(
sadh.life
)
544 points
by
tusharsadhwani
on Oct 10, 2021
|
173 comments
4.
Tools to Explore BGP
(
jvns.ca
)
168 points
by
mfrw
on Oct 5, 2021
|
26 comments
5.
The Black-Scholes formula, explained (2019)
(
cantorsparadise.com
)
93 points
by
jorgenveisdal
on April 11, 2021
|
63 comments
6.
Container networking is simple (2020)
(
iximiuz.com
)
271 points
by
zdw
on Jan 19, 2021
|
67 comments
7.
Computer Science textbooks that are freely available online
(
csgordon.github.io
)
574 points
by
MrXOR
on Dec 29, 2020
|
53 comments
8.
New version of Apple-1 DIY kits start shipping
(
mailchi.mp
)
131 points
by
sergpanarin
on Dec 14, 2020
|
39 comments
9.
A Modern JavaScript Tutorial
(
javascript.info
)
893 points
by
ivanche
on Dec 7, 2020
|
292 comments
10.
A React library to design Diagrams with ease
(
github.com/antonioru
)
116 points
by
interrupt86
on Nov 18, 2020
|
24 comments
11.
Introduction to Linear Algebra for Applied Machine Learning with Python
(
pabloinsente.github.io
)
425 points
by
Anon84
on Nov 11, 2020
|
52 comments
12.
AI Expert Roadmap
(
am.ai
)
195 points
by
simonpure
on Nov 6, 2020
|
92 comments
13.
SVG Path Editor
(
yqnn.github.io
)
618 points
by
blindm
on Nov 5, 2020
|
63 comments
14.
Ask HN: Is there a website specialized in mathematics courses?
176 points
by
dalleh
on Oct 26, 2020
|
86 comments
15.
Advanced SQL and database books and resources
(
neilwithdata.com
)
440 points
by
eatonphil
on May 11, 2020
|
47 comments
16.
Bayesian Data Analysis, Third Edition [pdf]
(
aalto.fi
)
466 points
by
malshe
on May 6, 2020
|
48 comments
17.
Why do we need Flask, Celery, and Redis? (2019)
(
ljvmiranda921.github.io
)
345 points
by
feross
on April 17, 2020
|
181 comments
18.
Transformers from Scratch
(
peterbloem.nl
)
265 points
by
stablemap
on Aug 23, 2019
|
28 comments
19.
Natural Language Processing: The Age of Transformers
(
scaleway.com
)
200 points
by
ilnmtlbnm
on Aug 28, 2019
|
24 comments
20.
Math Basics for Computer Science and Machine Learning [pdf]
(
upenn.edu
)
883 points
by
oldgun
on July 30, 2019
|
118 comments
21.
Self Studying the MIT Applied Math Curriculum
(
harshsikka.me
)
714 points
by
hsikka
on May 2, 2019
|
96 comments
22.
Principles and Techniques of Data Science
(
ds100.org
)
347 points
by
charlysl
on April 26, 2019
|
20 comments
23.
A fork() in the road
(
microsoft.com
)
257 points
by
ralish
on April 10, 2019
|
178 comments
24.
Common statistical tests are linear models
(
lindeloev.github.io
)
331 points
by
homarp
on March 28, 2019
|
44 comments
25.
A list of the biggest datasets for machine learning
(
datasetlist.com
)
195 points
by
nickplesha
on March 20, 2019
|
30 comments
26.
Dynamic Programming for Technical Interviews
(
blogarithms.github.io
)
470 points
by
Aditya_Ramesh
on March 15, 2019
|
218 comments
27.
Best of Machine Learning
(
bestofml.com
)
194 points
by
jonbaer
on March 5, 2019
|
3 comments
28.
Python Data Science Handbook: Full Text in Jupyter Notebooks
(
github.com/jakevdp
)
396 points
by
TsukiZombina
on March 3, 2019
|
36 comments
29.
Harder programming questions do a worse job of predicting outcomes
(
triplebyte.com
)
507 points
by
Harj
on Feb 18, 2019
|
511 comments
30.
SQL: One of the most valuable skills
(
craigkerstiens.com
)
821 points
by
duck
on Feb 13, 2019
|
382 comments
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