📌 HNSW at Scale: Why Your RAG System Gets Worse as the Vector Database Grows
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2026-01-07 | ⏱️ Read time: 18 min read
How approximate vector search silently degrades Recall—and what to do about It
#DataScience #AI #Python
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2026-01-07 | ⏱️ Read time: 18 min read
How approximate vector search silently degrades Recall—and what to do about It
#DataScience #AI #Python
📌 I Evaluated Half a Million Credit Records with Federated Learning. Here’s What I Found
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-07 | ⏱️ Read time: 12 min read
Why privacy breaks fairness at small scale—and how collaboration fixes both without sharing a single…
#DataScience #AI #Python
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-07 | ⏱️ Read time: 12 min read
Why privacy breaks fairness at small scale—and how collaboration fixes both without sharing a single…
#DataScience #AI #Python
📌 Probabilistic Multi-Variant Reasoning: Turning Fluent LLM Answers Into Weighted Options
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2026-01-07 | ⏱️ Read time: 21 min read
Human-guided AI collaboration
#DataScience #AI #Python
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2026-01-07 | ⏱️ Read time: 21 min read
Human-guided AI collaboration
#DataScience #AI #Python
❤1
Forwarded from Machine Learning with Python
𝐒𝐮𝐩𝐩𝐨𝐫𝐭_𝐕𝐞𝐜𝐭𝐨𝐫_𝐌𝐚𝐜𝐡𝐢𝐧𝐞𝐬_𝐒𝐕𝐌.pdf
5.8 MB
📐 𝐒𝐮𝐩𝐩𝐨𝐫𝐭 𝐕𝐞𝐜𝐭𝐨𝐫 𝐌𝐚𝐜𝐡𝐢𝐧𝐞𝐬 (𝐒𝐕𝐌)
🔹 What I covered today
What SVM is and how it works
Concept of hyperplane, margin, and support vectors
Hard margin vs Soft margin
Role of kernel trick
When SVM performs better than other classifiers
🎯 𝐓𝐨𝐩 𝟏𝟎 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 (𝐌𝐮𝐬𝐭-𝐊𝐧𝐨𝐰)
1️⃣ 𝘞𝘩𝘢𝘵 𝘪𝘴 𝘚𝘶𝘱𝘱𝘰𝘳𝘵 𝘝𝘦𝘤𝘵𝘰𝘳 𝘔𝘢𝘤𝘩𝘪𝘯𝘦 (𝘚𝘝𝘔)?
2️⃣ 𝘞𝘩𝘢𝘵 𝘢𝘳𝘦 𝘴𝘶𝘱𝘱𝘰𝘳𝘵 𝘷𝘦𝘤𝘵𝘰𝘳𝘴?
3️⃣ 𝘞𝘩𝘢𝘵 𝘪𝘴 𝘢 𝘮𝘢𝘳𝘨𝘪𝘯 𝘪𝘯 𝘚𝘝𝘔?
4️⃣ 𝘋𝘪𝘧𝘧𝘦𝘳𝘦𝘯𝘤𝘦 𝘣𝘦𝘵𝘸𝘦𝘦𝘯 𝘩𝘢𝘳𝘥 𝘮𝘢𝘳𝘨𝘪𝘯 𝘢𝘯𝘥 𝘴𝘰𝘧𝘵 𝘮𝘢𝘳𝘨𝘪𝘯?
5️⃣ 𝘞𝘩𝘢𝘵 𝘪𝘴 𝘵𝘩𝘦 𝘬𝘦𝘳𝘯𝘦𝘭 𝘵𝘳𝘪𝘤𝘬 𝘢𝘯𝘥 𝘸𝘩𝘺 𝘪𝘴 𝘪𝘵 𝘯𝘦𝘦𝘥𝘦𝘥?
6️⃣ 𝘊𝘰𝘮𝘮𝘰𝘯 𝘬𝘦𝘳𝘯𝘦𝘭𝘴 𝘶𝘴𝘦𝘥 𝘪𝘯 𝘚𝘝𝘔 (𝘓𝘪𝘯𝘦𝘢𝘳, 𝘗𝘰𝘭𝘺𝘯𝘰𝘮𝘪𝘢𝘭, 𝘙𝘉𝘍)?
7️⃣ 𝘞𝘩𝘢𝘵 𝘪𝘴 𝘵𝘩𝘦 𝘳𝘰𝘭𝘦 𝘰𝘧 𝘊 (𝘳𝘦𝘨𝘶𝘭𝘢𝘳𝘪𝘻𝘢𝘵𝘪𝘰𝘯 𝘱𝘢𝘳𝘢𝘮𝘦𝘵𝘦𝘳)?
8️⃣ 𝘞𝘩𝘢𝘵 𝘪𝘴 𝘨𝘢𝘮𝘮𝘢 𝘪𝘯 𝘙𝘉𝘍 𝘬𝘦𝘳𝘯𝘦𝘭?
9️⃣ 𝘊𝘢𝘯 #𝘚𝘝𝘔 𝘣𝘦 𝘶𝘴𝘦𝘥 𝘧𝘰𝘳 𝘳𝘦𝘨𝘳𝘦𝘴𝘴𝘪𝘰𝘯? (𝘚𝘝𝘙)
🔟 𝘞𝘩𝘦𝘯 𝘴𝘩𝘰𝘶𝘭𝘥 𝘺𝘰𝘶 𝘢𝘷𝘰𝘪𝘥 𝘶𝘴𝘪𝘯𝘨 𝘚𝘝𝘔?
https://news.1rj.ru/str/CodeProgrammer✈️
🔹 What I covered today
What SVM is and how it works
Concept of hyperplane, margin, and support vectors
Hard margin vs Soft margin
Role of kernel trick
When SVM performs better than other classifiers
🎯 𝐓𝐨𝐩 𝟏𝟎 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 (𝐌𝐮𝐬𝐭-𝐊𝐧𝐨𝐰)
1️⃣ 𝘞𝘩𝘢𝘵 𝘪𝘴 𝘚𝘶𝘱𝘱𝘰𝘳𝘵 𝘝𝘦𝘤𝘵𝘰𝘳 𝘔𝘢𝘤𝘩𝘪𝘯𝘦 (𝘚𝘝𝘔)?
2️⃣ 𝘞𝘩𝘢𝘵 𝘢𝘳𝘦 𝘴𝘶𝘱𝘱𝘰𝘳𝘵 𝘷𝘦𝘤𝘵𝘰𝘳𝘴?
3️⃣ 𝘞𝘩𝘢𝘵 𝘪𝘴 𝘢 𝘮𝘢𝘳𝘨𝘪𝘯 𝘪𝘯 𝘚𝘝𝘔?
4️⃣ 𝘋𝘪𝘧𝘧𝘦𝘳𝘦𝘯𝘤𝘦 𝘣𝘦𝘵𝘸𝘦𝘦𝘯 𝘩𝘢𝘳𝘥 𝘮𝘢𝘳𝘨𝘪𝘯 𝘢𝘯𝘥 𝘴𝘰𝘧𝘵 𝘮𝘢𝘳𝘨𝘪𝘯?
5️⃣ 𝘞𝘩𝘢𝘵 𝘪𝘴 𝘵𝘩𝘦 𝘬𝘦𝘳𝘯𝘦𝘭 𝘵𝘳𝘪𝘤𝘬 𝘢𝘯𝘥 𝘸𝘩𝘺 𝘪𝘴 𝘪𝘵 𝘯𝘦𝘦𝘥𝘦𝘥?
6️⃣ 𝘊𝘰𝘮𝘮𝘰𝘯 𝘬𝘦𝘳𝘯𝘦𝘭𝘴 𝘶𝘴𝘦𝘥 𝘪𝘯 𝘚𝘝𝘔 (𝘓𝘪𝘯𝘦𝘢𝘳, 𝘗𝘰𝘭𝘺𝘯𝘰𝘮𝘪𝘢𝘭, 𝘙𝘉𝘍)?
7️⃣ 𝘞𝘩𝘢𝘵 𝘪𝘴 𝘵𝘩𝘦 𝘳𝘰𝘭𝘦 𝘰𝘧 𝘊 (𝘳𝘦𝘨𝘶𝘭𝘢𝘳𝘪𝘻𝘢𝘵𝘪𝘰𝘯 𝘱𝘢𝘳𝘢𝘮𝘦𝘵𝘦𝘳)?
8️⃣ 𝘞𝘩𝘢𝘵 𝘪𝘴 𝘨𝘢𝘮𝘮𝘢 𝘪𝘯 𝘙𝘉𝘍 𝘬𝘦𝘳𝘯𝘦𝘭?
9️⃣ 𝘊𝘢𝘯 #𝘚𝘝𝘔 𝘣𝘦 𝘶𝘴𝘦𝘥 𝘧𝘰𝘳 𝘳𝘦𝘨𝘳𝘦𝘴𝘴𝘪𝘰𝘯? (𝘚𝘝𝘙)
🔟 𝘞𝘩𝘦𝘯 𝘴𝘩𝘰𝘶𝘭𝘥 𝘺𝘰𝘶 𝘢𝘷𝘰𝘪𝘥 𝘶𝘴𝘪𝘯𝘨 𝘚𝘝𝘔?
https://news.1rj.ru/str/CodeProgrammer
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📌 Why Supply Chain is the Best Domain for Data Scientists in 2026 (And How to Learn It)
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-07 | ⏱️ Read time: 13 min read
My take after 10 years in Supply Chain on why this can be an excellent…
#DataScience #AI #Python
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-07 | ⏱️ Read time: 13 min read
My take after 10 years in Supply Chain on why this can be an excellent…
#DataScience #AI #Python
❤3
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The single most undervalued fact of linear algebra: matrices are graphs, and graphs are matrices.
Encoding matrices as graphs is a cheat code, making complex behavior simple to study.
https://news.1rj.ru/str/DataScienceM
Encoding matrices as graphs is a cheat code, making complex behavior simple to study.
https://news.1rj.ru/str/DataScienceM
❤5
📌 Beyond Prompting: The Power of Context Engineering
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2026-01-08 | ⏱️ Read time: 60 min read
Using ACE to create self-improving LLM workflows and structured playbooks
#DataScience #AI #Python
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2026-01-08 | ⏱️ Read time: 60 min read
Using ACE to create self-improving LLM workflows and structured playbooks
#DataScience #AI #Python
❤2
📌 Retrieval for Time-Series: How Looking Back Improves Forecasts
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-08 | ⏱️ Read time: 13 min read
Why Retrieval Helps in Time Series Forecasting We all know how it goes: Time-series data…
#DataScience #AI #Python
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-08 | ⏱️ Read time: 13 min read
Why Retrieval Helps in Time Series Forecasting We all know how it goes: Time-series data…
#DataScience #AI #Python
Machine Learning
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📌 How to Improve the Performance of Visual Anomaly Detection Models
🗂 Category: COMPUTER VISION
🕒 Date: 2026-01-08 | ⏱️ Read time: 6 min read
Apply the best methods from academia to get the most out of practical applications
#DataScience #AI #Python
🗂 Category: COMPUTER VISION
🕒 Date: 2026-01-08 | ⏱️ Read time: 6 min read
Apply the best methods from academia to get the most out of practical applications
#DataScience #AI #Python
📌 Faster Is Not Always Better: Choosing the Right PostgreSQL Insert Strategy in Python (+Benchmarks)
🗂 Category: DATA ENGINEERING
🕒 Date: 2026-01-08 | ⏱️ Read time: 6 min read
PostgreSQL is fast. Whether your Python code can or should keep up depends on context.…
#DataScience #AI #Python
🗂 Category: DATA ENGINEERING
🕒 Date: 2026-01-08 | ⏱️ Read time: 6 min read
PostgreSQL is fast. Whether your Python code can or should keep up depends on context.…
#DataScience #AI #Python
📌 Data Science Spotlight: Selected Problems from Advent of Code 2025
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-09 | ⏱️ Read time: 19 min read
Hands-on walkthroughs of problems and solution approaches that power real‑world data science use cases
#DataScience #AI #Python
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-09 | ⏱️ Read time: 19 min read
Hands-on walkthroughs of problems and solution approaches that power real‑world data science use cases
#DataScience #AI #Python
📌 Mastering Non-Linear Data: A Guide to Scikit-Learn’s SplineTransformer
🗂 Category: MACHINE LEARNING
🕒 Date: 2026-01-09 | ⏱️ Read time: 7 min read
Forget stiff lines and wild polynomials. Discover why Splines are the “Goldilocks” of feature engineering,…
#DataScience #AI #Python
🗂 Category: MACHINE LEARNING
🕒 Date: 2026-01-09 | ⏱️ Read time: 7 min read
Forget stiff lines and wild polynomials. Discover why Splines are the “Goldilocks” of feature engineering,…
#DataScience #AI #Python
📌 Teaching a Neural Network the Mandelbrot Set
🗂 Category: MACHINE LEARNING
🕒 Date: 2026-01-09 | ⏱️ Read time: 10 min read
And why Fourier features change everything
#DataScience #AI #Python
🗂 Category: MACHINE LEARNING
🕒 Date: 2026-01-09 | ⏱️ Read time: 10 min read
And why Fourier features change everything
#DataScience #AI #Python
📌 TDS Newsletter: December Must-Reads on GraphRAG, Data Contracts, and More
🗂 Category: THE VARIABLE
🕒 Date: 2026-01-08 | ⏱️ Read time: 3 min read
Don’t miss our most popular articles of the previous month
#DataScience #AI #Python
🗂 Category: THE VARIABLE
🕒 Date: 2026-01-08 | ⏱️ Read time: 3 min read
Don’t miss our most popular articles of the previous month
#DataScience #AI #Python
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📌 Beyond the Flat Table: Building an Enterprise-Grade Financial Model in Power BI
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-10 | ⏱️ Read time: 11 min read
A step-by-step journey through data transformation, star schema modeling, and DAX variance analysis with lessons…
#DataScience #AI #Python
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-10 | ⏱️ Read time: 11 min read
A step-by-step journey through data transformation, star schema modeling, and DAX variance analysis with lessons…
#DataScience #AI #Python
📌 How LLMs Handle Infinite Context With Finite Memory
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2026-01-09 | ⏱️ Read time: 10 min read
Achieving infinite context with 114× less memory
#DataScience #AI #Python
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2026-01-09 | ⏱️ Read time: 10 min read
Achieving infinite context with 114× less memory
#DataScience #AI #Python
❤1
📌 Federated Learning, Part 1: The Basics of Training Models Where the Data Lives
🗂 Category: FEDERATED LEARNING
🕒 Date: 2026-01-10 | ⏱️ Read time: 10 min read
Understanding the foundations of federated learning
#DataScience #AI #Python
🗂 Category: FEDERATED LEARNING
🕒 Date: 2026-01-10 | ⏱️ Read time: 10 min read
Understanding the foundations of federated learning
#DataScience #AI #Python