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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📌 Cyclic Partition: An Up to 1.5x Faster Partitioning Algorithm

🗂 Category:

🕒 Date: 2024-10-10 | ⏱️ Read time: 27 min read

A sequence partitioning algorithm that does minimal rearrangements of values
📌 All About AI Agents: Autonomy, Reasoning, Alignment, and More

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-10 | ⏱️ Read time: 4 min read

Our weekly selection of must-read Editors’ Picks and original features
📌 A Walkthrough of Nvidia’s Latest Multi-Modal LLM Family

🗂 Category: DEEP LEARNING

🕒 Date: 2024-10-10 | ⏱️ Read time: 6 min read

From LLaVA, Flamingo, to NVLM
📌 How to Parallelize Copy Activities in Azure Data Factory

🗂 Category: DATA ENGINEERING

🕒 Date: 2024-10-10 | ⏱️ Read time: 8 min read

Optimizing Data Transfer for Enterprise Data Lakes
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📌 Low-Code Data Connectors and Destinations

🗂 Category: DATA ENGINEERING

🕒 Date: 2024-10-10 | ⏱️ Read time: 13 min read

Get started with Airbyte and Cloud Storage
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📌 Decision Tree Regressor, Explained: A Visual Guide with Code Examples

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-10 | ⏱️ Read time: 11 min read

Trimming branches smartly with Cost-Complexity Pruning
📌 Forecasting with NHiTs: Uniting Deep Learning + Signal Processing Theory for Superior Accuracy

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-10-10 | ⏱️ Read time: 12 min read

A high-performance DL model for all forecasting cases
📌 Fine-Tune Llama 3.2 for Powerful Performance on Targeted Tasks

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-10-10 | ⏱️ Read time: 13 min read

Learn how you can fine-tune Llama3.2, Meta’s most recent Large language model, to achieve powerful…
📌 The Most Valuable LLM Dev Skill is Easy to Learn, But Costly to Practice.

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-09 | ⏱️ Read time: 18 min read

Here’s how not to waste your budget on evaluating models and systems.
📌 The Easiest Way to Learn and Use Python Today

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-10-09 | ⏱️ Read time: 9 min read

Google Colab and its integrated Generative AI, a powerful combination
📌 Mastering Sample Size Calculations

🗂 Category:

🕒 Date: 2024-10-09 | ⏱️ Read time: 19 min read

A/B Testing, Reject Inference, and How to Get the Right Sample Size for Your Experiments
📌 Keep the Gradients Flowing

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-10-09 | ⏱️ Read time: 27 min read

Optimizing Sparse Neural Networks: Understanding Gradient Flow for Faster Training, and Better Performance in Deep…
📌 Mathematics I Look for in Data Scientist Interviews

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-09 | ⏱️ Read time: 18 min read

Let’s rebuild our data science foundation.
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📌 From Newton to LLM’s

🗂 Category: PHYSICS

🕒 Date: 2024-10-09 | ⏱️ Read time: 17 min read

A new approach to AI reasoning optimization
📌 5 AI Projects You Can Build This Weekend (with Python)

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-09 | ⏱️ Read time: 8 min read

From beginner-friendly to advanced
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📌 Embracing Uncertainty: The Power of Fuzzy Logic in Decision-Making

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-10-09 | ⏱️ Read time: 13 min read

Exploring how fuzzy logic enhances AI, systems thinking, and real-world applications
📌 ITT vs LATE: Estimating Causal Effects with IV in Experiments with Imperfect Compliance

🗂 Category: DATA SCIENCE

🕒 Date: 2024-10-09 | ⏱️ Read time: 11 min read

Intuition, step-by-step noscript, and assumptions needed for the use of IV
📌 From Set Transformer to Perceiver Sampler

🗂 Category: DEEP LEARNING

🕒 Date: 2024-10-08 | ⏱️ Read time: 4 min read

On multi-modal LLM Flamingo’s vision encoder
📌 A Deeper Dive into Odds Ratios Using Logistic Regression

🗂 Category: STATISTICS

🕒 Date: 2024-10-08 | ⏱️ Read time: 21 min read

A comprehensive guide on how to extract and explore odds ratios from a Logistic Regression…
📌 How to Improve Model Quality Without Building Larger Models

🗂 Category:

🕒 Date: 2024-10-08 | ⏱️ Read time: 12 min read

Going into the Google DeepMind’s “Scaling LLM Test-Time Compute Optimally can be More Effective than…
📌 Make the Switch from Software Engineer to ML Engineer

🗂 Category: CAREER ADVICE

🕒 Date: 2024-10-08 | ⏱️ Read time: 9 min read

7 steps that helped me transition from a software engineer to Machine Learning engineer
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