alco

Just a poor, lonesome cowboy and a long way from home...

[concretedog @[email protected] @concreted0g]

Woohoo! My @FreeCADNews book "FreeCAD for Makers" is out and available for free download! Huge thanks to @Raspberry_Pi and @HackSpaceMag crew for getting it together and @yorikvanhavre for the foreword! #opensource #CAD #CAM #FEM #Makers https://t.co/e0Sk0I49Td

[alco @alcoio]

@ioana_cis Hmm, don't you find it difficult to engage with many different plots concurrently?

[alco @alcoio]

@ioana_cis Currently reading: 33 books :O

[alco @alcoio]

@ioana_cis What a stunning photo!

[Turing Post (Ksenia Se) @TheTuringPost]

We recommend you a free Learning From Data course with 7M views @Caltech.

It covers basic ML theory, algorithms, and applications.

Find the materials:
1. Lectures
2. Homework materials & solution keys.

Learn here: https://t.co/eZuT2VAMEz

[alco @alcoio]

Found out this online textbook, seems good:

https://t.co/y8u1KwAkrT

#online #textbook #systems

[Physics In History @PhysInHistory]

“The only way to learn math is to do math” | 5 Brilliant Mathematics Lectures That You Must Watch:
https://t.co/2yszeF8iJn

[Lambda Days @LambdaDays]

Competition time!🏆

We are going to give away 5 virtual tickets for #LambdaDays 22 to celebrate reaching 3,000 followers on Twitter.

To take part all you need to do is:
✔️ Follow @LambdaDays
✔️ Retweet this tweet
✔️ Winners will be announced, once we hit the goal.

[Bojan Tunguz @tunguz]

This week @Google researchers announced Minerva, an internally developed project that can answer mathematical questions and tackle other complex topics such as physics.

1/5

[Turing Post (Ksenia Se) @TheTuringPost]

3 free courses, the most popular ones!

1. CS109A Data Science @Harvard
2. Linear Algebra @MIT
3. Mathematics of Big Data and Machine Learning @MIT

Share this post with your friends to spread the word!

Links⬇️

[alco @alcoio]

@jeanqasaur @markgritter It would be very interesting to read

[Turing Post (Ksenia Se) @TheTuringPost]

Full Stack Deep Learning course materials @full_stack_dl @UCBerkeley are free and open for everyone!

1. Lecture videos & slides
2. Code notebooks
3. Labs
4. Reading materials

Learn here: https://t.co/a1AgEEw09p

[Turing Post (Ksenia Se) @TheTuringPost]

A free book for you!

Mathematics for Machine Learning by Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong.

Learn Maths for ML here: https://t.co/wMYgR28zew

[Signal Processing @DSP_fact]

DSP software from Rice University https://t.co/jCqCjDt4OV

[nixCraft 🐧 @nixcraft]

A book-in-progress about the linux kernel and its insides by @0xAX
https://t.co/rUhKEAjwXh

[Turing Post (Ksenia Se) @TheTuringPost]

A free book for you!

"Introduction to Probability for Data Science" by Stanley H. Chan.

Read here: https://t.co/PkS0hf17lS

[Quanta Magazine @QuantaMagazine]

“This is one of the nice things that happens in mathematics: Things that people thought were hopeless turn out not only to be not hopeless, but not even hard.” —Jeff Kahn, a mathematician https://t.co/9wQHEa1X7M

[Eric Wang @ewang2323]

Please RT! The Wang lab is recruiting at all levels (research technician, lab manager and postdoc)! Come and join us @jacksonlab Genomic Medicine in Farmington, CT. Job ads are being created so in the meantime please send your CV, cover letter and references to [email protected].

[Steven Strogatz @stevenstrogatz]

Knots and Quantum Theory — a beautiful introduction by the great Ed Witten. Deep, fascinating, and surprisingly readable. “Much of the theory of knots is best understood in the framework of 20th- and 21st-century developments in quantum physics.” https://t.co/UDMzEQWYkQ

[Connor McGarr @33y0re]

Today I am releasing the final post of a 3 part series on “modern” browser exploitation targeting Windows. In this post we port our exploit primitives to Edge itself & combine 12 ROP chains in order to defeat ACG, CIG, DEP, ASLR, CFG, "no child processes"

https://t.co/tJ1zXRRLON