elderson laborit

[独立开花卓富贵 @fuguizhuo]

试一下这个 Xcode 编译时间优化的 skill，还是挺厉害的，推荐 iOS 研发试一下。 https://t.co/1uhRRrPoYQ

[elderson laborit @Laborit]

@tim_cook I’m waiting for those MacBook Pros with OLED screens. Please, Tim, make it happen.

[elderson laborit @Laborit]

@midudev y nadie habla de la cantidad de tokens que consume...

[elderson laborit @Laborit]

@JorgeSinCodigo @grok looking some guide or tutorial for clawdbot

[elderson laborit @Laborit]

@immasiddx Claude

[elderson laborit @Laborit]

@BharukaShraddha ML ML

[elderson laborit @Laborit]

@PropositoyVida Troya y Gladiador.

[Andreas Storm @avstorm]

Could watch this all day

[Apple Design @TheAppleDesign]

Apple Leads.
Samsung Follows.

[elderson laborit @Laborit]

@AnxiousHolly Apple 100%

[elderson laborit @Laborit]

@justabdulraouf Arc browser, Notion, Warp, CleanMyMac…

[Eyisha Zyer @eyishazyer]

The new Nano banana is like a Photoshop on steroids.

It lets you do INSANE things that weren't possible before.

Here are the 20 coolest examples I've found 🧵

[elderson laborit @Laborit]

@eyishazyer Amazing

[whitehats @wh1t3h4ts]

Important networking commands and their uses

[Python Developer @PythonDvz]

Deep Learning Roadmap https://t.co/C8kpeZkPE2

1. Maths & Statistics → Build a strong mathematical foundation (algebra, probability, statistics).

2. Python → Learn Python programming (it’s the most widely used language in AI/ML).

3. Data Wrangling → Learn how to clean, organize, and preprocess raw data.

4. Machine Learning Concepts → Understand basic algorithms and theories of Machine Learning.

5. Deep Learning Algorithms → Learn neural networks, CNN, RNN, and similar algorithms.

6. Deep Learning Frameworks → Learn tools like TensorFlow and PyTorch.

7. CV & NLP Using Deep Learning → Work on Computer Vision (image processing) and NLP (language processing) projects.

8. SQL & NoSQL → Learn SQL/NoSQL to work with data from databases.

9. Deploying Models → Learn how to run your trained models in web or app environments.

10. Projects & Resume → Build your own projects and add them to your resume.

11. SUCCESS!!! → Completing these steps will give you the skills needed to start a career in Deep Learning.

[elderson laborit @Laborit]

@clcoding Data

[elderson laborit @Laborit]

@python_spaces Python Space

[Python Space @python_spaces]

Python Books for FREE!

- Intro to ML
- ML Projects
- Data Analysis in Python
- Think Python

If you want a FREE copy,
1. Like + Repost
2. Comment 'Python Space'
3. Follow me @python_spaces so that I can DM you.

[Elon Musk @elonmusk]

To figure out who will win any given technology race, just look at the rate of acceleration of innovation & growth