nsikak.dev

In a coding cocoon |🐧💻| FOSS enthusiast | RTFM & KISS | Key binding connoisseur ⌨️ | Computer Architecture, Operating Systems & Networking

[Kirk Borne @KirkDBorne]

[Download 585-page PDF eBook]

Game Theory: https://t.co/DUxMDRc1Ll
—————
#GameTheory #Gamification #Mathematics #Statistics #Probability

[Math Cafe @Riazi_Cafe_en]

"Vector Calculus" by Michael Corral

Freely available at: https://t.co/lCDgqU5ghI

[Swapna Kumar Panda @swapnakpanda]

MIT's Books on AI & ML (DOWNLOAD FREE):

1. Foundations of Machine Learning
https://t.co/78p57EBbL8

2. Understanding Deep Learning
https://t.co/D2oyRrXqcE

3. Introduction to Machine Learning Systems
❯ Vol 1: https://t.co/IezLFJdhDV
❯ Vol 2: https://t.co/NYP3xAPZ6u

4. Algorithms for ML
https://t.co/lntuD4Q19H

5. Deep Learning
https://t.co/vCHVIZQYTI

6. Reinforcement Learning
https://t.co/JNWhFCuCkH

7. Distributional Reinforcement Learning
https://t.co/GXpkV4BDZi

8. Multi Agent Reinforcement Learning
https://t.co/T8zVmQVutO

9. Agents in the Long Game of AI
https://t.co/HeD3Nsm5zz

10. Fairness and Machine Learning
https://t.co/csAjhdf7Lb

11. Probabilistic Machine Learning

❯ Part 1 : https://t.co/5Leef9ypGj
❯ Part 2 : https://t.co/vRbF0rEIuh

[GitHub Projects Community @GithubProjects]

Waydroid runs a full Android 13 system inside Linux namespaces on any GNU/Linux desktop, giving Android apps direct hardware access.

Explore it here:
https://t.co/4uBt12Huzf

[Justin Skycak @justinskycak]

Math expertise is kind of weird in that it's overpowered when combined with other areas of expertise, but underpowered alone.

Generally speaking, most of the world does not care about math directly and is not going to care how good you are beyond some baseline level of competence.

But if you also build baseline competence in another field that more people do care about, then math can be a gigantic power-up for you.

Just to name an example: there are lots of areas in CS where you don't need to know a whole lot of math to be successful.

BUT... all this surreal AI/ML stuff that's happening nowadays?

That's all coming from a group of serious math nerds within CS.

[Grok @grok]

1. Finance: pure math rarely impresses Wall Street, but math + markets powers quant trading, options pricing, and risk models that move trillions.

2. Biology: most biologists don't need deep math, yet math nerds drive genomics, protein folding, and epidemiological models that actually change medicine.

3. Engineering: baseline competence gets products built, but serious math unlocks control systems, signal processing, and simulation tools that define high-end aerospace and robotics.

[nsikak.dev @david_abasi]

Been locked-in for months now. A year more to go

[Justin Skycak @justinskycak]

Those who skip the foundations do not escape it; they just meet it later with worse timing.

[nsikak.dev @david_abasi]

Same, but there's a possibility that interests wouldn't drift towards that domain. If and all it can't be a waste. That early expose will set them for life.

[Mustafa @oprydai]

my grandchildren will have a bigger library and engineering home-lab than the local university.

[Cliff Pickover @pickover]

FREE Math Book. 200 pages.

"Fourier Analysis for Beginners" by Thibos.
Fourier analysis is everywhere. In countless areas of science, engineering, and math, Fourier analysis is routinely used to solve practical, important problems.

Chapters:
1. Mathematical Preliminaries
2. Sinusoids, Phasors, and Matrices
3. Fourier Analysis of Discrete Functions
4. The Frequency Domain
5. Continuous Functions
6. Fourier Analysis of Continuous Functions
7. Sampling Theory
8. Statistical Description of Fourier Coefficients
9. Hypothesis Testing for Fourier Coefficients
10. Directional Data Analysis
11. The Fourier Transform
12. Properties of The Fourier Transform
13. Signal Analysis 14. Fourier Optics

Additional topics: Physical optics and image formation, convolution operations, hypothesis testing, review of phasors and complex numbers, auto-correlation, vision science.

Link: https://t.co/0RZeLkFFiW

[Machiavelli Bot @UnmodernmanBot]

Most men think freedom means having no obligations. Real freedom is choosing obligations that build power rather than consume it. The wrong duty makes you dependent, resentful, and exhausted. The right duty creates competence, trust, meaning, and options. Responsibility is either a prison or an asset depending on what it compounds.

[Justin Skycak @justinskycak]

Most people don't understand that the LLM training corpus is a small subset of all knowledge.

There is so much knowledge you can scrape from the world, that doesn't exist anywhere online or in any book.

The way you scrape it is by getting your hands dirty solving messy problems in the real world.

[Kirk Borne @KirkDBorne]

Algorithms (4th Edition; 976 pages) at https://t.co/eSMutmFWge
...The leading textbook on algorithms today and is widely used in colleges and universities worldwide. This book surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing—including fifty algorithms every programmer should know.

[Machiavelli Bot @UnmodernmanBot]

This is something not many people understand.

If you want to escape 9-5, you are going to have to show exceptional level of competency and industriousness in your 9-5.

You can't escape 9-5 by hating your 9-5.

You need to remain unemotional, detached and give your 100% in your 9-5,

Then go home and work on your side project that will help you escape your job.

Men who hate 9-5 and justify their complacency by saying its a slave job, are in actual fact,

pathetic and incompetent.

You will never get anywhere in life if you operate at your 'ideal' capacity.

You will never get anywhere with an attitude of "9-5 is slave work that makes the boss rich".

Enter your 9-5 with an attitude of "how can I increase the business revenue"

and watch yourself grow.

[Kirk Borne @KirkDBorne]

A Gentle Introduction to Optimization
⬇️
https://t.co/sv8ViPMY9z
—————
#Mathematics #PrescriptiveAnalytics #DataScience #ML #MachineLearning #ORMS #LinearAlgebra

[Hasan Toor @hasantoxr]

MIT has a free 650+ page textbook that teaches you how to think like a computer scientist.

It's called Structure and Interpretation of Computer Programs, and it costs $0.

Most people think "learn programming" means learning Python or JavaScript, picking up a framework, shipping a side project, and grinding Leetcode.

But under every great programmer is a way of thinking about problems. Recursion, abstraction, modularity, language design that's the actual skill.

This is what MIT used to teach in its very first CS class for over two decades.

It covers:

Procedures and abstractions
Higher-order functions
Recursion and iteration
Data as procedures
Symbolic differentiation
Streams and lazy evaluation
Local state and mutation
Metalinguistic abstraction
Writing your own interpreter
Compilation
Register machines

Basically, the stuff that turns you from someone who writes code into someone who understands what code really is.

You don't need to be enrolled at MIT, pay tuition, know Scheme, or have a professor.

Read the whole book online today.

Link: https://t.co/3t0Eyxe3MK

[Onye Nkuzi @cchukudebelu]

Nigeria and South Africa are both delusional.

Nigeria still entertains "Giant of Africa" delusions - while South Africa still entertains "Rainbow Nation" delusions.

Nigeria's "giantness" is of no use to anyone - starting with ordinary Nigerians;

While many South Africans still believe the rest of the World still sees them through the eyes of "Soweto", "Mandela", "Steve Biko" and "Desmond Tutu";

Not the articulate Malawian girl who complained bitterly about sleeping in the cold - because her and her family were chased away by pot-bellied "Zulu Warriors" angrily telling them to "go bek to your kentry".

[Justin Skycak @justinskycak]

Master the fundamentals to free up your working memory for creative work. If you have to think about the tool, you can't think about the masterpiece.

[Machiavelli Bot @UnmodernmanBot]

You don’t struggle with discipline. You struggle with conflicting incentives. Part of you wants the outcome. Another part wants comfort. Until the cost of comfort exceeds the cost of action, you will remain inconsistent no matter how motivated you feel.

[Justin Skycak @justinskycak]

You do not build mathematical maturity by admiring abstractions from a distance.

[Kirk Borne @KirkDBorne]

Competitive Programming in Python — 128 Algorithms to Develop Your Coding Skills: https://t.co/GX5fe9Oaqb

"Classic problems like Dijkstra's shortest path algorithm and Knuth-Morris-Pratt's string matching algorithm are featured alongside lesser known data structures like Fenwick trees and Knuth's dancing links. The book provides a framework to tackle algorithmic problem solving, including: Definition, Complexity, Applications, Algorithm, Key Information, Implementation, Variants, In Practice, and Problems. Python code included in the book and on the companion website."
-Amazon summary