🌻🍀 Jonatas Alves 🌴🏝️🇧🇷

I ❤️ Software Design, Love C++ not an expert, #visualcomputing #rendering
#computergraphics. #computerscience. @oficialUEM #SoftwareEnginner #startup

[🌻🍀 Jonatas Alves 🌴🏝️🇧🇷 @jonatadev]

(Life) Advice From The Creator of C++ https://t.co/DEdvuqiG6H via @YouTube

[Oscar Arias @OACerebro]

Enjoy!

https://t.co/y8IpMxD8FO

[🌻🍀 Jonatas Alves 🌴🏝️🇧🇷 @jonatadev]

Fiquei VELHO e meu maior arrependimento na vida foi... https://t.co/3KZDZ8dH45 via @YouTube

[Vivek Galatage @vivekgalatage]

An awesome and free course, "Advances in Computer Vision" from MIT. The chapters start with the basics of image formation, FFT, and diving into deep learning.

https://t.co/b6g0l5fD3S

[Vivek Galatage @vivekgalatage]

More C++ Idioms - 80+ community-maintained C++ design patterns, all in one free reference.

https://t.co/RCWPCuaWRn

[The Club @DragonBall43ver]

Just drop on your zodiac sign

[Vivek Galatage @vivekgalatage]

List of educational C++ videos, categorically organized.

https://t.co/Cik9cvs99I

[Haider. @haider1]

Creator of C++, Bjarne Stroustrup:

AI-generated code isn't ready — it generates more bugs, more bloat, more security holes, and is nearly impossible to validate

"senior developers are already retiring rather than deal with it"

The problem is that even a small prompt change can shift the entire codebase in unpredictable ways

[箱星 : 探究 @hakoboshi_e]

グラフ理論の国、GRAPHLANDに来なさい
加法的組合せ論の国、ADDITIVE COMBINATORICAに来なさい
その間に橋を架けなさい

[Beauty of Nature 🥀 @NaturalEye78321]

📍 Lençóis Maranhenses National Park, Brazil 🇧🇷

[Beauty of Nature 🥀 @NaturalEye78321]

📍 Ipanema Beach, Rio de Janeiro, Brazil 🇧🇷

[Simon Scheidegger @comp_simon]

Thrilled to share a project I've been refining: a complete, open-source repository on "Deep Learning for Solving and Estimating Dynamic Models in Economics and Finance."
I've cleaned up the materials from my PhD classes and summer schools into one coherent resource. 🧵 1/6

[Cliff Pickover @pickover]

FREE Math Book.

"A Brief Introduction to Neural Networks" by Kriesel. Topics: history, vertebrate nervous system, brainstem, network topologies, learning, perceptrons, backpropagation, self-organizing feature maps, neural gas, clustering, reinforcement learning, adaptive resonance theory, biological motivation of heteroassociation, etc.

Link: https://t.co/HUeMJyJRiX

[Joruno @wsl8297]

想把强化学习学透，很多网课只教你怎么调用，学完还是一头雾水。

转去读论文，又被一堆公式劝退；想系统梳理原理，门槛高、路径也不清晰。

最近看到一本开源书《强化学习的数学基础》，提供了一条很顺的路线：从数学出发，把 RL 的核心逻辑讲明白。

它用最经典、最直观的“网格世界”贯穿全书，把算法背后的推导一步步拆开讲，读起来不跳步，也不绕弯。

GitHub：https://t.co/9D5wRxEDZm

更难得的是，数学深度拿捏得很准：该严谨的地方不含糊，该简化的地方不硬扛，目标就是让你真的把每个知识点吃透。

对入门者友好，也适合想把 RL 原理打牢的 AI 开发者，配合视频一起学效率更高。

[Google Cloud Tech @GoogleCloudTech]

All you need to learn about LLMs is 10 minutes!

This microlearning Google Skills course explores what large language models are, the use cases where they can be applied, and how you can use prompt tuning to enhance LLM performance → https://t.co/Cv0MzO1LnC

[MIT CSAIL @MIT_CSAIL]

61 years ago this month, the Fast Fourier Transform was created, a powerful tool for image compression & data analysis.

Watch a classic MIT breakdown of FFT, perhaps the most-taught algorithm at the Institute: https://t.co/R7zdspBswx

v/@MITOCW

[Frank Nielsen @FrnkNlsn]

Book #OTD

Graph Theory and Additive Combinatorics:
Exploring Structure and Randomness

book hp including PDF draft:
https://t.co/94SNckRq8W

publisher: https://t.co/iw1laSqVIQ

[Math Cafe @Riazi_Cafe_en]

Graph Theory
by Reinhard Diestel

preview: https://t.co/f2mbQBdcqe

[Vivek Galatage @vivekgalatage]

This classic is available as self-paced lecture videos and slides.

https://t.co/Pn9tmQJ4Tg

[Cliff Pickover @pickover]

Free Math Book.

"How We Got from There to Here: A Story of Real Analysis." Introduces students to difficult definitions by including historical developments. An intro analysis textbook. Students solve problems that include historical context.

Contents

Prologue: Three Lessons Before We Begin
I: In Which We Raise a Number of Questions
1 Numbers, Real (R) and Rational (Q)
2 Calculus in the 17th and 18th Centuries
2.1 Newton and Leibniz Get Started
2.1.1 Leibniz’s Calculus Rules
2.1.2 Leibniz’s Approach to the Product Rule
2.1.3 Newton’s Approach to the Product Rule
2.2 Power Series as Infinite Polynomials
3 Questions Concerning Power Series
3.1 Taylor’s Formula
3.2 Series Anomalies
II Interregnum
Joseph Fourier: The Man Who Broke Calculus
III In Which We Find (Some) Answers
4 Convergence of Sequences and Series
4.1 Sequences of Real Numbers
4.2 The Limit as a Primary Tool
4.3 Divergence
5 Convergence of the Taylor Series: A “Tayl” of Three Remainders
5.1 The Integral Form of the Remainder
5.2 Lagrange’s Form of the Remainder
5.3 Cauchy’s Form of the Remainder
6 Continuity: What It Isn’t and What It Is
6.1 An Analytic Definition of Continuity
6.2 Sequences and Continuity
6.3 The Definition of the Limit of a Function
6.4 The Derivative, An Afterthought
7 Intermediate and Extreme Values
7.1 Completeness of the Real Number System
7.2 Proof of the Intermediate Value Theorem
7.3 The Bolzano-Weierstrass Theorem
7.4 The Supremum and the Extreme Value Theorem
8 Back to Power Series
8.1 Uniform Convergence
8.2 Uniform Convergence: Integrals and Derivatives
8.2.1 Cauchy Sequences
8.3 Radius of Convergence of a Power Series
8.4 Boundary Issues and Abel’s Theorem
9 Back to the Real Numbers
9.1 Infinite Sets
9.2 Cantor’s Theorem and Its Consequences
Epilogue
Epilogue: On the Nature of Numbers
Epilogue: Building the Real Numbers
The Decimal Expansion
Cauchy sequences
Dedekind Cuts

Link: https://t.co/weyKXgmvKV

[Queria Viajar 🌎 @QueriaViajar]

Praia de Jeribucaçu - Itacaré, Bahia