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Machine Learning

Machine Learning

@machinelearning9

Real Machine Learning — simple, practical, and built on experience.
Learn step by step with clear explanations and working code.

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Post #5542 1.36K
📌 Designing Data and AI Systems That Hold Up in Production

🗂 Category: AUTHOR SPOTLIGHTS

🕒 Date: 2026-02-26 | ⏱️ Read time: 6 min read

A system-level perspective on architecture, agents, and responsible scale

#DataScience #AI #Python
Post #5540 1.66K
📌 Detecting and Editing Visual Objects with Gemini

🗂 Category: LLM APPLICATIONS

🕒 Date: 2026-02-26 | ⏱️ Read time: 34 min read

A practical guide to identifying, restoring, and transforming elements within your images

#DataScience #AI #Python
  • ❤ 3
Post #5539 1.46K
📌 A Generalizable MARL-LP Approach for Scheduling in Logistics

🗂 Category: MACHINE LEARNING

🕒 Date: 2026-02-26 | ⏱️ Read time: 17 min read

Part 1. Hybrid Solution for Dynamic Vehicle Routing — Context and Architecture

#DataScience #AI #Python
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Post #5538 1.46K
📌 Breaking the Host Memory Bottleneck: How Peer Direct Transformed Gaudi’s Cloud Performance

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2026-02-25 | ⏱️ Read time: 9 min read

Engineering RDMA-like performance over cloud host NICs using libfabric, DMA-BUF, and HCCL to restore distributed…

#DataScience #AI #Python
  • ❤ 1
Post #5537 1.5K
📌 Scaling Feature Engineering Pipelines with Feast and Ray

🗂 Category: MACHINE LEARNING

🕒 Date: 2026-02-25 | ⏱️ Read time: 11 min read

Utilizing feature stores like Feast and distributed compute frameworks like Ray in production machine learning systems

#DataScience #AI #Python
Post #5536 1.46K
📌 How to Define the Modeling Scope of an Internal Credit Risk Model

🗂 Category: DATA SCIENCE

🕒 Date: 2026-02-25 | ⏱️ Read time: 9 min read

Dataset construction for Internal Ratings-Based (IRB) Probability of Default (PD) models

#DataScience #AI #Python
Post #5535 1.47K
📌 Aliasing in Audio, Easily Explained: From Wagon Wheels to Waveforms

🗂 Category: MACHINE LEARNING

🕒 Date: 2026-02-25 | ⏱️ Read time: 21 min read

Understanding the foundational distortion of digital audio from first principles, with worked examples and visual…

#DataScience #AI #Python
Post #5534 1.58K
📌 Decisioning at the Edge: Policy Matching at Scale

🗂 Category: DATA SCIENCE

🕒 Date: 2026-02-24 | ⏱️ Read time: 13 min read

Policy-to-Agency Optimization with PuLP

#DataScience #AI #Python
  • ❤ 2
Post #5533
Machine Learning pinned «Make AI write like a real human (and pass every checker) 100% free, No login, Unlimited use, Multi-language support Trusted by 50k+ users already. Your turn! 👉 https://unaimytext.com»
Post #5531 1.62K
📌 Optimizing Token Generation in PyTorch Decoder Models

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2026-02-24 | ⏱️ Read time: 17 min read

Hiding host-device synchronization via CUDA stream interleaving

#DataScience #AI #Python
  • ❤ 1
Post #5530 1.52K
📌 AI Bots Formed a Cartel. No One Told Them To.

🗂 Category: AGENTIC AI

🕒 Date: 2026-02-24 | ⏱️ Read time: 11 min read

Inside the research that shows algorithmic price-fixing isn’t a bug in the code. It’s a…

#DataScience #AI #Python
Post #5528 1.49K
📌 Optimizing Deep Learning Models with SAM

🗂 Category: DEEP LEARNING

🕒 Date: 2026-02-24 | ⏱️ Read time: 16 min read

A deep dive into the Sharpness-Aware-Minimization (SAM) algorithm and how it improves the generalizability of…

#DataScience #AI #Python
  • ❤ 3
Post #5527 1.36K
📌 Build Effective Internal Tooling with Claude Code

🗂 Category: LLM APPLICATIONS

🕒 Date: 2026-02-23 | ⏱️ Read time: 10 min read

Use Claude Code to quickly build completely personalized applications

#DataScience #AI #Python
  • ❤ 1
Post #5526 1.34K
📌 AI in Multiple GPUs: Gradient Accumulation & Data Parallelism

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2026-02-23 | ⏱️ Read time: 9 min read

Learn and implement gradient accum and data parallelism from scratch in PyTorch

#DataScience #AI #Python
  • ❤ 2
Post #5525 1.07K

Forwarded from Machine Learning with Python

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  • ❤ 1
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Post #5524 1.52K
📌 PySpark for Pandas Users

🗂 Category: DATA ENGINEERING

🕒 Date: 2026-02-23 | ⏱️ Read time: 16 min read

Common Pandas operations and their equivalents in PySpark

#DataScience #AI #Python
  • ❤ 1
Post #5523 1.61K
📌 Is the AI and Data Job Market Dead?

🗂 Category: DATA SCIENCE

🕒 Date: 2026-02-23 | ⏱️ Read time: 8 min read

What you should be doing in the current job market

#DataScience #AI #Python
Post #5522 1.8K
📌 The Reality of Vibe Coding: AI Agents and the Security Debt Crisis

🗂 Category: LLM APPLICATIONS

🕒 Date: 2026-02-22 | ⏱️ Read time: 6 min read

Why optimizing for speed over safety is leaving applications vulnerable, and how to fix it.

#DataScience #AI #Python
  • ❤ 2
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