Machine Learning
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Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.

Admin: @HusseinSheikho || @Hussein_Sheikho
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๐Ÿ“Œ Simplicity Over Black Boxes

๐Ÿ—‚ Category: ANALYTICS

๐Ÿ•’ Date: 2025-01-23 | โฑ๏ธ Read time: 7 min read

Turning complex ML models into simple, interpretable rules with Human Knowledge Models for actionable insightsโ€ฆ
๐Ÿ“Œ Building Successful AI Apps: The Dos and Donโ€™ts

๐Ÿ—‚ Category: DATA SCIENCE

๐Ÿ•’ Date: 2025-01-23 | โฑ๏ธ Read time: 4 min read

Our weekly selection of must-read Editorsโ€™ Picks and original features
๐Ÿ“Œ Real World Use Cases: Strategies that Will Bridge the Gap Between Development and Productionizing

๐Ÿ—‚ Category: DATA SCIENCE

๐Ÿ•’ Date: 2025-01-23 | โฑ๏ธ Read time: 9 min read

Data science demonstrates its value when applied to practical challenges. This article shares insights gainedโ€ฆ
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๐Ÿ“Œ Nine Pico PIO Wats with MicroPython (Part 1)

๐Ÿ—‚ Category: PROGRAMMING

๐Ÿ•’ Date: 2025-01-23 | โฑ๏ธ Read time: 19 min read

Raspberry Pi programmable IO pitfalls illustrated with a musical example
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Machine Learning pinned ยซ๐Ÿš€๐Ÿ”ฅ ๐—•๐—ฒ๐—ฐ๐—ผ๐—บ๐—ฒ ๐—ฎ๐—ป ๐—”๐—ด๐—ฒ๐—ป๐˜๐—ถ๐—ฐ ๐—”๐—œ ๐—•๐˜‚๐—ถ๐—น๐—ฑ๐—ฒ๐—ฟ โ€” ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ฃ๐—ฟ๐—ผ๐—ด๐—ฟ๐—ฎ๐—บ Master the hottest skill in tech: building intelligent AI systems that think and act independently. Learn to build smart ๐—ฐ๐—ต๐—ฎ๐˜๐—ฏ๐—ผ๐˜๐˜€, ๐—”๐—œ ๐—ฎ๐˜€๐˜€๐—ถ๐˜€๐˜๐—ฎ๐—ป๐˜๐˜€ ๐—ฎ๐—ป๐—ฑ ๐—บ๐˜‚๐—น๐˜๐—ถ-๐—ฎ๐—ด๐—ฒ๐—ป๐˜ ๐˜€๐˜†๐˜€๐˜๐—ฒ๐—บ๐˜€. ๐—˜๐—ฎ๐—ฟ๐—ป ๐—ฝ๐—ฟ๐—ผ๐—ณ๐—ฒ๐˜€๐˜€๐—ถ๐—ผ๐—ป๐—ฎ๐—น ๐—ฐ๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ปโ€ฆยป
๐Ÿ“Œ Behind the Scenes of a Successful Data Analytics Project

๐Ÿ—‚ Category: DATA SCIENCE

๐Ÿ•’ Date: 2025-01-23 | โฑ๏ธ Read time: 10 min read

Learn the steps to approach any data analytics project like a pro.
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๐Ÿ“Œ Harmonizing and Pooling Datasets for Health Research in R

๐Ÿ—‚ Category: CODING

๐Ÿ•’ Date: 2025-01-22 | โฑ๏ธ Read time: 11 min read

R code to extract data from unique datasets and combine them in one harmonized datasetโ€ฆ
๐Ÿ“Œ Understanding Emergent Capabilities in LLMs: Lessons from Biological Systems

๐Ÿ—‚ Category:

๐Ÿ•’ Date: 2025-01-22 | โฑ๏ธ Read time: 24 min read

How natural systems fundamental laws help explain AIโ€™s unexpected abilities
๐Ÿ“Œ Topic Modelling in Business Intelligence: FASTopic and BERTopic in Code

๐Ÿ—‚ Category: MACHINE LEARNING

๐Ÿ•’ Date: 2025-01-22 | โฑ๏ธ Read time: 11 min read

A comparison of two cutting-edge dynamic topic models solving consumer complaints classification exercise
๐Ÿ“Œ How to Evaluate LLM Summarization

๐Ÿ—‚ Category: ARTIFICIAL INTELLIGENCE

๐Ÿ•’ Date: 2025-01-22 | โฑ๏ธ Read time: 18 min read

A practical and effective guide for evaluating AI summaries
๐Ÿ“Œ How to Utilize ModernBERT and Synthetic Data for Robust Text Classification

๐Ÿ—‚ Category: MACHINE LEARNING

๐Ÿ•’ Date: 2025-01-22 | โฑ๏ธ Read time: 10 min read

Learn how to fine-tune ModernBERT and create augmentations of text samples
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๐Ÿ“Œ Human Minds and Machine Learning Models

๐Ÿ—‚ Category: MACHINE LEARNING

๐Ÿ•’ Date: 2025-01-22 | โฑ๏ธ Read time: 14 min read

Exploring the parallels and differences between psychology and machine learning
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๐Ÿ“Œ Neural Networks for Time-Series Imputation: Tackling Missing Data

๐Ÿ—‚ Category: MACHINE LEARNING

๐Ÿ•’ Date: 2025-01-22 | โฑ๏ธ Read time: 11 min read

Part 3: Discover how a simple Keras sequential model can be effective
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๐Ÿ“Œ The Concepts Data Professionals Should Know in 2025: Part 2

๐Ÿ—‚ Category: ARTIFICIAL INTELLIGENCE

๐Ÿ•’ Date: 2025-01-20 | โฑ๏ธ Read time: 14 min read

From AI Agent to Human-In-The-Loop โ€“ Master 12 critical data concepts and turn them intoโ€ฆ
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๐Ÿ“Œ Designing, Building & Deploying an AI Chat App from Scratch (Part 2)

๐Ÿ—‚ Category:

๐Ÿ•’ Date: 2025-01-20 | โฑ๏ธ Read time: 20 min read

Cloud Deployment and Scaling
๐Ÿ“Œ Designing, Building & Deploying an AI Chat App from Scratch (Part 1)

๐Ÿ—‚ Category:

๐Ÿ•’ Date: 2025-01-20 | โฑ๏ธ Read time: 19 min read

Microservices Architecture and Local Development
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๐Ÿ“Œ The Concepts Data Professionals Should Know in 2025: Part 1

๐Ÿ—‚ Category: DATA ENGINEERING

๐Ÿ•’ Date: 2025-01-19 | โฑ๏ธ Read time: 14 min read

From Data Lakehouses to Event-Driven Architecture โ€“ Master 12 data concepts and turn them intoโ€ฆ
๐Ÿ“Œ Zero-Shot Player Tracking in Tennis with Kalman Filtering

๐Ÿ—‚ Category:

๐Ÿ•’ Date: 2025-01-19 | โฑ๏ธ Read time: 10 min read

Automated tennis tracking without labels: GroundingDINO, Kalman filtering, and court homography.
๐Ÿ“Œ How to Log Your Data with MLflow

๐Ÿ—‚ Category: DATA SCIENCE

๐Ÿ•’ Date: 2025-01-19 | โฑ๏ธ Read time: 12 min read

Mastering data logging in MLOps for your AI workflow
๐Ÿ“Œ Modern Data And Application Engineering Breaks the Loss of Business Context

๐Ÿ—‚ Category: DATA ENGINEERING

๐Ÿ•’ Date: 2025-01-18 | โฑ๏ธ Read time: 16 min read

Hereโ€™s how your data retains its business relevance as it travels through your enterprise
๐Ÿ“Œ Showcasing Soaring Wildfire Counts With Streamlit and Python: A Powerful Approach

๐Ÿ—‚ Category: DATA VISUALIZATION

๐Ÿ•’ Date: 2025-01-18 | โฑ๏ธ Read time: 13 min read

Analyzing historical wildfire trends in Canada with public data