Machine Learning – Telegram
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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📌 AutoML with AutoGluon: Transform Your ML Workflow with Just Four Lines of Code

🗂 Category: DEEP LEARNING

🕒 Date: 2024-07-03 | ⏱️ Read time: 23 min read

How AutoGluon Dominated Kaggle Competitions and How You Can Beat It. The algorithm that beats…
📌 A Comprehensive Guide to Collaborative AI Agents in Practice

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2024-07-03 | ⏱️ Read time: 17 min read

the definition, and building a team of agents that refine your CV and Cover Letter…
📌 How to challenge your own analysis so others won’t

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-03 | ⏱️ Read time: 14 min read

Master the art of sanity checks to level up the quality of your work
📌 Not All HNSW Indices Are Made Equaly

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-07-03 | ⏱️ Read time: 8 min read

Overcoming Major HNSW Challenges to Improve the Efficiency of Your AI Production Workload
📌 The Math Behind Risk – Part 2

🗂 Category: DATA VISUALIZATION

🕒 Date: 2024-07-03 | ⏱️ Read time: 11 min read

Does the attack really have an advantage in the game of world conquest?
📌 Eco-Friendly AI: How to Reduce the Carbon and Water Footprints of Your ML Models

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-07-03 | ⏱️ Read time: 14 min read

Sustainable practices for model training and serving
📌 Causal Inference with Python: A Guide to Propensity Score Matching

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-02 | ⏱️ Read time: 28 min read

An introduction to estimating treatment effects in non-randomized settings using practical examples and Python code
📌 Continual Learning – A Deep Dive Into Elastic Weight Consolidation Loss

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-02 | ⏱️ Read time: 10 min read

With PyTorch Implementation
📌 RFM Segmentation: Unleashing Customer Insights

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-02 | ⏱️ Read time: 9 min read

Transforming customer data into actionable insights with RFM segmentation
📌 Introduction to Linear Programming – Part II

🗂 Category: CODING

🕒 Date: 2024-07-02 | ⏱️ Read time: 16 min read

Production optimisation with R
📌 How to Turn Your AI Idea Into a Scalable Product: A Technical Guide

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-07-02 | ⏱️ Read time: 9 min read

Time to leave localhost behind and start acquiring users
📌 Using a JSON Agent with LangChain, LangSmith and OpenAI’s GPT-4o

🗂 Category:

🕒 Date: 2024-07-01 | ⏱️ Read time: 9 min read

Developing a chatbot to answer questions about a JSON dataset
📌 Framework for Success Metrics Questions | Facebook Groups Success Metrics

🗂 Category: META

🕒 Date: 2024-07-01 | ⏱️ Read time: 6 min read

The framework that will help you ace upcoming interviews
📌 You Don’t Know Jacc(ard)

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-01 | ⏱️ Read time: 11 min read

When the Jaccard similarity index isn’t the right tool for the job, and what to…
📌 Chart Wars: Pie Chart vs. Sorted Radial Bar Chart

🗂 Category: DATA VISUALIZATION

🕒 Date: 2024-07-01 | ⏱️ Read time: 8 min read

Have your pie and eat it too!
📌 Mastering SQL Optimization: From Functional to Efficient Queries

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-01 | ⏱️ Read time: 11 min read

Six Simple Yet Effective SQL Tips That Helped Me Reduce 50 Hours of Snowflake Query…
📌 Analyzing the Pros and Cons of Electric Vehicle Purchases: Insights from Newspaper News

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-01 | ⏱️ Read time: 10 min read

In today’s market, buying electric cars represents an important challenge and a purchase decision that…
📌 Learn Transformer Fine-Tuning and Segment Anything

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-06-30 | ⏱️ Read time: 13 min read

Train Meta’s SAM to segment high fidelity masks for any domain
📌 3 Essential Questions to Address When Building an API-Involved Incremental Data Loading Script

🗂 Category: DATA ENGINEERING

🕒 Date: 2024-06-30 | ⏱️ Read time: 9 min read

This article explains both the conceptual framework and practical code implementation for syncing data from…
📌 Explainability, Interpretability and Observability in Machine Learning

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-06-30 | ⏱️ Read time: 7 min read

These are terms commonly used to describe the transparency of a model, but what do…
📌 Using OpenAI and PandasAI for Series Operations

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-06-29 | ⏱️ Read time: 6 min read

Incorporate natural language queries and operations into your Python data cleaning workflow.