🧿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.

"The Mathematics of Bitcoin" is a concise work that analyzes Bitcoin from a mathematical perspective. 📊

It utilizes probability theory, stochastic processes, martingales, combinatorics, and special functions to explore the mechanisms of the Bitcoin protocol. 🧮

In particular, the authors examine the probability of double-spending, the profitability of mining, block generation, miner strategies, and the resilience of the protocol. ⛏️

If you want to delve deeper, I also recommend "Bitcoin and Cryptocurrency Technologies" from Princeton University. This is a much broader introduction to cryptographic hash functions, digital signatures, consensus, Proof of Work, mining, transactions, anonymity, security, and the incentive system in cryptocurrencies. 🎓

Save both of these resources. They are excellent materials if you're interested in understanding the mathematics and technical mechanisms of Bitcoin. 💾

The Mathematics of Bitcoin:
https://arxiv.org/pdf/2003.00001

Bitcoin and Cryptocurrency Technologies:
https://d28rh4a8wq0iu5.cloudfront.net/bitcointech/readings/princeton_bitcoin_book.pdf

#Bitcoin #Mathematics #Cryptocurrency #Blockchain #Princeton #Tech

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🤖 AI & Machine Learning

AI/ML Engineer (m/w/d) – Generative AI + Legal AI
🏢 YPOG
📍 Berlin, Berlin, Germany · 🌐 Remote
🕒 14 hours ago

Tap below to view the full posting and apply directly on LinkedIn.

💎 Curated by: https://xn--r1a.website/Jobs204

🔔 Still Available!

400 Machine Learning Interview Questions with Answers 2026

Machine LearningnInterview Questions Practice Test | Freshers to Experienced | Detailed Explanations for Each Question…

🌍 Language: English (US)
👥 Students: 205 students
⭐️ Rating: 0.0/5.0 (0 reviews)
🏃‍♂️ Enrollments Left: 1
⏳ Expires In: 0D:30H:30M
💰 Price: $23.03 ⟹ FREE
🆔 Coupon: 58223770053913048BEB

⚡ Opens instantly — your free link unlocks on its own in seconds, no ad required.

💎 By: https://xn--r1a.website/Udemy26
#MachineLearning #AI #DeepLearning #FreeCourse #Udemy #OnlineLearning

DS FULL ARCHIVE 🗂

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#DS #Archive #DataScience #Tech #News #Update

🚀 21-Day CCNA & CCNP Sprint – Aug 17 to Sep 6
🤝 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: https://wa.me/8619559123054

🔖 ML algorithms in visualizations

A useful repository that helps you understand how machine learning algorithms work – through interactive diagrams and step-by-step explanations.

You can run it in your browser or locally using Docker.

⛓ Link to GitHub
https://github.com/gavinkhung/machine-learning-visualized

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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📚 "Natural Language Processing and Large Language Models" is a new open-access book from Springer, written by Chengqing Zong, Yang Zhao, and Yanjun Ma.

It's almost 400 pages long and provides an introduction to modern natural language processing and large language models.

Inside, you'll find information on: neural networks, distributed representations, language models, Transformers, BERT, GPT, tokenization, sentiment analysis, information extraction, text summarization, natural language understanding, machine translation, question answering, and RLHF.

In my opinion, this is a good reference guide for those who want to understand these topics without a very high barrier to entry. I would recommend it. ✨

https://link.springer.com/book/10.1007/978-981-92-0682-7

#NLP #LLM #ArtificialIntelligence #MachineLearning #DataScience #TechBooks

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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