Vicvic

[Matt Dancho (Business Science) @mdancho84]

🚨BREAKING: Google just DROPPED a masterclass on GPUs

Get it here 100% free:

[btwiambot @btwiambot]

Stop only using frameworks… start studying how they’re built.

Real engineering lives in open source 👇

gRPC → high-performance RPC framework
https://t.co/KRzMRcV4JY

Kubernetes → container orchestration system
https://t.co/Uz0qppVAEu

Docker → containerization platform
https://t.co/lHAEzqMvwL

Apache Kafka → distributed event streaming
https://t.co/LYPqYde8He

Apache Spark → large-scale data processing engine
https://t.co/Bi7aZlpOdg

TensorFlow → ML framework
https://t.co/GzjaEpTn0n

PyTorch → deep learning framework
https://t.co/1lUreFKB1Q

Reading code like this changes how you build forever.

[Ultralytics @ultralytics]

Detect power line tower components with Ultralytics YOLO26! ⚡

Identify insulator strings, crossarms, and crossarm turrets in real time to support power grid inspections, predictive maintenance, and safer monitoring of energy infrastructure. This enables utility teams to detect issues earlier, reduce manual inspection efforts, and improve overall grid reliability.

Read more ➡️ https://t.co/HIHvlcrWI2

#Ultralytics #YOLO26 #AI #Energy

[Mehmet Songur @mehmetsongur_]

MIT’den Prof. Rama Ramakrishnan tarafından verilen Hands-on Deep Learning kursu

🔗Kurs Notları

https://t.co/1PyREeaaFA

🔗Kurs Videoları

https://t.co/1Ks5p3nkOR

[Python Coding @clcoding]

Machine Learning From Scratch: Intuition, Math and Code of ML Algorithms

Detailed Explanation: https://t.co/fLrnTNi5g7

[Miguel Ángel Durán @midudev]

Si usas Windows para programar, necesitas esto.

Microsoft ha lanzado Windows Developer Config. Deja tu máquina lista para desarrollar con un solo comando.

Instala herramientas, prepara WSL + Ubuntu, terminal, instala Node, Python, Rust, Go, Java, .NET, PHP...

Es de código abierto:
→ https://t.co/6ndCDN7pd5

[smrati tiwari @smratitiwa86867]

Top YouTube Channels to Master Tech Skills

1. SQL
👉 https://t.co/f0FjviIn65

2. Excel
👉 https://t.co/czizyfMMH5

3. Statistics
👉 https://t.co/K20tl8PEG5

4. Math
👉 https://t.co/MqwPeOKTvi…

5. Python
👉 https://t.co/C7NpERUtAp

6. Data Analysis
👉 https://t.co/5hPa3zkBR5

7. Machine Learning
👉 https://t.co/assAc6iS2w…

8. Deep Learning
👉 https://t.co/LEGdnitWKA

9. Java
👉 https://t.co/1UcPTV1Ojg

10. Big Data
👉 https://t.co/CAVoNfh6kq

11. Data Engineering
👉 https://t.co/fZMJOJmAXl…

12. NLP (Natural Language Processing)
👉 https://t.co/cssjIKxSiv

13. Computer Vision & AI
👉 https://t.co/vb87tmGEZc…

14. Generative AI
👉 https://t.co/xNq4T9jPGd

15. University-Level Courses
👉 https://t.co/xyirCWzhkC
👉 https://t.co/CInI7xd3CT

16. All-in-One Learning
👉 https://t.co/nTuWwOvkbe

Follow me @smratitiwa86867 for more AI IDEA.

[btwiambot @btwiambot]

Data Engineering Roadmap

1. Linux
2. Networking
3. Git & GitHub
4. SQL
5. Python
6. Databases
7. Data Modeling
8. Data Warehousing
9. ETL / ELT
10. Data Quality
11. Security Fundamentals
12. Big Data Fundamentals
13. Spark / PySpark
14. Delta Lake / Iceberg / Hudi
15. Cloud Fundamentals
16. Storage & Compute
17. IAM & Access Control
18. Orchestration (Airflow)
19. CI/CD
20. Docker
21. dbt
22. Snowflake / Databricks
23. Streaming (Kafka)
24. Data Governance
25. Metadata & Lineage
26. Monitoring & Observability
27. Cost Optimization
28. System Design
29. Batch Pipelines
30. Real-Time Pipelines
31. End-to-End Projects

Learn in this order.

Don't start with Spark, Databricks, or Kafka.

Build strong fundamentals first.

[Srishti @srishtiberi]

Top YouTube Channels to Master Tech Skills

SQL
👉 https://t.co/DGDPzJeoAu

Excel
👉 https://t.co/zhKj2wLU7r

Statistics
👉 https://t.co/GKqol9WMYN

Math
👉 https://t.co/anVFSF9rMG…

Python
👉 https://t.co/bvUCxA44cz

Data Analysis
👉 https://t.co/xt9FJIcqxg

Machine Learning
👉 https://t.co/IxOWezamfS…

Deep Learning
👉 https://t.co/M9WLLgjm7d

Java
👉 https://t.co/kQch6KxGcY

Big Data
👉 https://t.co/PaQImfnHjb

Data Engineering
👉 https://t.co/5fZNe2Q8R6…

NLP (Natural Language Processing)
👉 https://t.co/9GG9B1l6Tf

Computer Vision & AI
👉 https://t.co/PqSYRqAs76…

Generative AI
👉 https://t.co/8rRcHYVbnS

University-Level Courses
👉 https://t.co/AtCU1iGDua
👉 https://t.co/TKCCBNGWlV

All-in-One Learning
👉 https://t.co/pHjbWDziqk

Follow me @srishtiberi for more

AI IDEA.

Create a new image with label

[Joachim Schork @JoachimSchork]

Neural networks are game-changers in data science, uncovering complex patterns and insights that traditional methods can’t. If you're in this field, understanding them is a must.

To help you dive into this topic, I’ve created a comprehensive tutorial that explains how to build and train a neural network in Python using TensorFlow, Keras, and Scikit-Learn.

Check out the tutorial: https://t.co/3MBTqBf2Tq

I’ve also created a series of posts on related topics across my social media channels. Here are a few examples:

- Convolutional Neural Networks: https://t.co/dDzH19ITnF
- Reinforcement Learning: https://t.co/IBAqRd8MpF
- Activation Functions: https://t.co/VgRBz8Kh1M

Want to dive deeper into R, Python, and data science? Subscribe to my email newsletter for practical tips and resources!

Further details: https://t.co/ktUcWo9XpO

#R #datastructure #Data #datascienceeducation #RStats #DataScience

[tut_ml @tut_ml]

Best Statistics Courses- https://t.co/kxPBP3nq1O

[Pallavi @pallavishekhar_]

Learn LLM internals step by step - from tokenization to attention to inference optimization

- BPE
- Tokenization
- Transformer Architecture
- Math behind Attention - Q, K, and V
- Math behind √dₖ Scaling Factor
- Causal Masking
- KV Cache
- Paged Attention
- Flash Attention
- Mixture of Experts
- Grouped Query Attention
- RoPE
- RMSNorm
- LoRA
- And many more.

Learn here: https://t.co/z7O1NVjMwq

[Helena AI @rosemoni18]

Top YouTube Channels to Master Tech Skills

1. SQL
👉 https://t.co/TITbwNFzk6

2. Excel
👉 https://t.co/YKtD0goEvI

3. Statistics
👉 https://t.co/9sJTOCc1Fz

4. Math
👉 https://t.co/iUMLxedVOR…

5. Python
👉 https://t.co/KJV3nZiLaI

6. Data Analysis
👉 https://t.co/joIz5zRGKk

7. Machine Learning
👉 https://t.co/2JI7dlYILZ…

8. Deep Learning
👉 https://t.co/NOJcXWAgJe

9. Java
👉 https://t.co/RBesu1KHQc

10. Big Data
👉 https://t.co/f8jHzG5BLL

11. Data Engineering
👉 https://t.co/4Wf4l4jYsW…

12. NLP (Natural Language Processing)
👉 https://t.co/KWy0H0i2KJ

13. Computer Vision & AI
👉 https://t.co/xdc6AVUnWA…

14. Generative AI
👉 https://t.co/SL6pVSOPcD

15. University-Level Courses
👉 https://t.co/55plhoRXoB
👉 https://t.co/FzX3NvKueo

16. All-in-One Learning
👉 https://t.co/eScZKDcr2J

Follow me @rosemoni18 for more AI IDEA.

[Python Developer @PythonDvz]

If you're prepping for tech job interviews, you should know how to apply data structures & algorithms to coding challenges. And this course helps you learn the key DSA you'll need to know with plenty of examples. It covers arrays, sets, hashmaps, Big O notation, sliding window, binary search, depth-first search, and lots more.

https://t.co/m90HwwlP8n

[Yi Ma @YiMaTweets]

Our new open-source book on the Principles and Practice of Deep Representation Learning (A Mathematical Theory of Memory) is now posted on the arXiv: https://t.co/EGURnwZr6H I will offer a new graduate course this fall at the University of Hong Kong. Everything will be open sourced!

[Tom Dörr @tom_doerr]

80+ practical examples for building AI agents and RAG apps

https://t.co/6hbLTD2OoG

[SkalskiP @skalskip92]

supervision is trending on GitHub; 2k stars in 2 days

[btwiambot @btwiambot]

You need these GitHub repositories to master AI:

Machine Learning
https://t.co/HiJQXjkxoC

Deep Learning
https://t.co/spKwBveb5l

NLP
https://t.co/WIpcrzp3Kd

LLMs
https://t.co/EuDjIsdz8L

Generative AI
https://t.co/cKpv6zspbK

MLOps
https://t.co/jij6IbQE4P

AI Agents
https://t.co/SAXL03sRUA

Prompt Engineering
https://t.co/iANaCL6PLc

Computer Vision
https://t.co/KYkOOdeCAs

You'll keep seeing people ask for AI roadmaps while everything they need is already here.

[Niels Rogge @NielsRogge]

I got you covered

Explore all CVPR papers here: Oral papers, Spotlight papers, and all papers categorized by domain

https://t.co/jD01frdcRF