Don L

Experto en lo que no sé.

[Hasan Toor @hasantoxr]

Best YouTube Channels To Learn in 2026

1. Cybersecurity - NetworkChuck
2. Artificial Intelligence - Two Minute Papers
3. Web Development - The Net Ninja
4. Python Programming - Corey Schafer
5. DevOps - TechWorld with Nana
6. Cloud Computing - AWS Developers
7. Data Analytics - Luke Barousse
8. Digital Marketing - Brian Dean
9. UI / UX Design - Jesse Showalter
10. Blockchain Development - Dapp University
11. React Development - JavaScript Mastery
12. Java Programming - Amigoscode
13. Networking - Jeremy's IT Lab
14. Personal Branding - Dan Koe

[Math Cafe @Riazi_Cafe_en]

Probability and Computing
by Michael Mitzenmacher and Eli Upfal

Preview: https://t.co/ETw58n8xlq

[Kirk Borne @KirkDBorne]

Learn #Probability Through Problems (exercises, hints, and solutions provided): https://t.co/co2m7Ukujw
—————
#Statistics #DataScience #Mathematics

[Math Cafe @Riazi_Cafe_en]

Introductory Statistics

PDF available here: https://t.co/MaPXVtCIXk

[GitHub Projects Community @GithubProjects]

Use your android phone as a microphone for your PC

[GitHub Projects Community @GithubProjects]

Download videos from almost any website worldwide

[Tom Dörr @tom_doerr]

Project management software with Kanban boards and issue tracking

https://t.co/3pGXaNNsez

[Swapna Kumar Panda @swapnakpanda]

Completely FREE Mathematics Courses for 2026:

1. Precalculus
https://t.co/rpGvb6ElT0

2. Calculus
https://t.co/stRgVE8MdA

3. Prealgebra
https://t.co/007XeqKTKy

4. Algebra
https://t.co/O8GyQVrxR5

5. Linear Algebra
https://t.co/j9X7IgqYSb

6. Geometry
https://t.co/qYym28SfNl

7. Trigonometry
https://t.co/XxtjskCjJj

8. Statistics
https://t.co/4eJ1yg1S32

9. Probability & Statistics
https://t.co/MuglrjDsKT

10. Limits
https://t.co/nShaPQeQz3

11. Derivatives
https://t.co/0wMuBI2OSI

12. Integrals
https://t.co/5QszLH6Mfo

[Kirk Borne @KirkDBorne]

Behind Every Good Decision—How Anyone Can Use #BusinessAnalytics to Turn Data into Profitable Insight: https://t.co/yNKfz41oxZ
———————
#DataScientist #DataScience #BI #DataStrategy #AnalyticsStrategy #MachineLearning #AI #ML #DataLiteracy

[Math Cafe @Riazi_Cafe_en]

Principles and Techniques in Combinatorics
by Chen Chuan-Chong and Koh Khee-Meng

preview: https://t.co/BofihfPCRm

[AlternativeTo @AlternativeTo]

Open-source alternative to Little Snitch for Windows and Linux that monitors all network activity with per app firewall controls, tracker blocking, secure DNS, and optional SPN https://t.co/SbHWzEvVBN by @SafingIO

[elhacker.NET @elhackernet]

Audiobookshelf, un servidor de audiolibros de código abierto al que se accede mediante una interfaz web en el navegador
https://t.co/sMDam1cXVj

[Miguel Ángel Durán @midudev]

¡Directorio de APIs públicas y gratuitas para Devs!
Compatibles con cualquier lenguaje de programación
Hay 1500 disponibles → https://t.co/jjuQ0E7m8H

[Tom Dörr @tom_doerr]

Transfers files over wifi without internet

https://t.co/K2qMwhAGJO

[Tom Dörr @tom_doerr]

Transfers files between Android and Linux or macOS

https://t.co/V9d2q1o1fU

[Swapna Kumar Panda @swapnakpanda]

11 Completely FREE Books on AI & ML from MIT:

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

2. Introduction to Machine Learning Systems
https://t.co/hkaYi0dd1k

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

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

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

[Hoop Herald @TheHoopHerald]

Absolute gold from Tom Izzo

“It’s such a phony world right now and everyone tells everybody how good they are. Nobody tells anyone they need to get better”

(Via @TheCoachJournal 🎥)

[Nas @Nas_tech_AI]

𝗣𝗮𝗶𝗱 𝗖𝗼𝘂𝗿𝘀𝗲 𝗙𝗥𝗘𝗘 (PART - 3)

1. Artificial Intelligence + Data Analyst
2. Machine Learning + Data Science
3. Cloud Computing + Web Development
4. Ethical Hacking + Hacking
5. Data Analytics + DSA
6. AWS Certified + IBM COURSE
7. Data Science + Deep Learning
8. BIG DATA + SQL COMPLETE COURSE
9. Python + OTHERS
10 MBA + HANDWRITTEN NOTES

(72 Hours only ) Cost About - $500

To get: -

1. Follow (So I can DM you )
2. Like & retweet
3. Reply " Send "