Data Analytics
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Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making.

Admin: @HusseinSheikho || @Hussein_Sheikho
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Agentic AI math problems by hand ✍️ The last five in Chapter 1. Download PDF: byhand.ai/tokens-16-20

Problems 16 to 20:

16. Tokens on a budget: run the pricing backward, cost in, tokens out
17. How long will it take? Reading is parallel, writing is one token at a time
18. The split matters: same total tokens, one task finishes three times sooner
19. Pricing per million tokens: how every real API actually quotes it
20. Tokens from the bill: work backward from what you were charged

Previous problems:

1. Count the tokens
2. Subword splitting
3. Punctuation counts
4. Tokens per word
5. Will it fit?
Download: byhand.ai/tokens-1-5

6. The price of a call
7. Two kinds of token
8. Input or output?
9. The two-part bill
10. End-to-end call cost
Download: byhand.ai/tokens-6-10

11. Comparing three calls
12. The average call
13. The system prompt
14. The system prompt tax
15. Calls in a budget
Download: byhand.ai/tokens-11-15

Download, print and solve. ✍️
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🌐Join SPOTO telegram Group: https://t.me/spotoITstudygroup
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🧿ANTHROPH\C Launches 13 Free AI Courses

Anthropic Academy has announced 13 free AI courses. The courses cover the following topics:

• Working with Claude
• AI Fundamentals
• AI Agents
• Model Context Protocol (MCP)
• Claude Code
• Working with APIs
• Enterprise AI
• Google Cloud Vertex AI and Amazon Bedrock Integration


1. Claude 101

2. AI Fluency: Framework & Foundations

3. Introduction to Agent Skills

4. Building with the Claude API

5. Claude Code in Action

6. Introduction to Model Context Protocol (MCP)

7. MCP: Advanced Topics

8. AI Fluency for Students

9. AI Fluency for Educators

10. Teaching AI Fluency

11. AI Fluency for Small Businesses

12. Claude with Amazon Bedrock

13. Claude with Google Cloud Vertex AI

The courses are designed for a wide audience, from beginners to developers, educators, students, and business owners.
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🐱 Julius AI — a neural network for data analysis without complex tools!

This service helps you work with spreadsheets, statistics, and large datasets without having to manually create formulas or understand complex analysis tools. You upload a file, and Julius AI analyzes the data, finds patterns, creates charts, and explains the results in simple language.

📌 Here's the link: julius.ai
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🤝 Peer Group – Share Insights | Exchange Knowledge | Support Each Other

No more studying alone. Join a community of CCNA/CCNP candidates, learn together, and win prizes.
How it works:
① DM admin: "I'M IN + cert name"
② Join the group
③ Check in 18/21 days → win 🎁

Prizes (first come, first served):
$50 Amazon card ×1 | SD-Access Training ×1 | SD-WAN Training ×1 | CCNA Pro Package ×10 | Free Learning Pack (all finishers)

Daily check-in:
1️⃣ What you learned
2️⃣ Explain it in your own words
3️⃣ (Optional) Ask the group

Join now: https://chat.whatsapp.com/KZrAj2HZ3Y5K9UhhNhrApf
DM to register: 
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Forwarded from Machine Learning
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A Collection of Machine Learning Libraries for Python 🤖

A large repository containing over 900 libraries and frameworks for machine learning. 📚

All projects are sorted by quality and popularity, which helps you quickly find the best tools for working with AI and ML. ⚙️

Repo: https://github.com/ml-tooling/best-of-ml-python?tab=readme-ov-file#vector-similarity-search-ann

#MachineLearning #Python #AI #DataScience #MLTools #Programming

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Updated CS 8803 "Large Language Model" course at Georgia Tech for 2026.

The list of materials covers pre-training, Mixture of Experts (MoE), reasoning, reinforcement learning and self-play, agents, long context, scaling during inference, diffusion language models, safety, interpretability, and much more.

- https://cocoxu.github.io/CS8803-LLM-spring2026/

- https://docs.google.com/spreadsheets/d/1Oisf4imoNL3fs4UWGYAUlMCuYfCACMHCDb0iqEYU8wc/edit?usp=sharing
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🔖 Practical roadmap for LLM inference

We found a repository where the entire process is built around a single inference service.

First, you analyze the basic architecture, then you run the model, connect metrics, and test it with a load of 1000+ concurrent requests, and then you move on to performance optimization.

Link to GitHub
https://github.com/patchy631/time-to-first-token
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🔖 Practical Guide to Transformer Models

A practical repository for learning about transformers through Jupyter notebooks.

12 chapters: from the basics of the architecture to model deployment. The code can be run directly in Google Colab.

Link to GitHub
https://github.com/Nicolepcx/transformers-the-definitive-guide
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🔥 More models. Lower cost. One API key.

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Access leading models at prices below official API list rates.

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Connect apps, agents and coding tools with one Smart API key.

📈 Clear costs
Track every request, token and cost in one place.

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Choose model groups with ordered fallback options.

⚡️ Mode Website:
https://modelflare.dev/

👉 Models & pricing:
https://modelflare.dev/pricing

💬 Join the ModelFlare community:
https://t.me/+GxEEPAsQ0ERiOGUx
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