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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📌 Powering Experiments with CUPED and Double Machine Learning

🗂 Category: DATA SCIENCE

🕒 Date: 2024-08-15 | ⏱️ Read time: 19 min read

Causal AI, exploring the integration of causal reasoning into machine learning
📌 Simplify Information Extraction: A Reusable Prompt Template for GPT Models

🗂 Category: CHATGPT

🕒 Date: 2024-08-15 | ⏱️ Read time: 8 min read

A prompt template containing prompting techniques that have worked for me on over a dozen…
📌 From Surrogate Modelling to Aerospace Engineering: a NASA Case Study

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-08-15 | ⏱️ Read time: 12 min read

This is how Surrogate Modelling is revolutionizing the world of Aerospace Engineering, from theory to…
📌 Real world Use Cases: Forecasting Service Utilization Using Tabnet and Optuna

🗂 Category: DATA SCIENCE

🕒 Date: 2024-08-15 | ⏱️ Read time: 7 min read

Data science is at its best out in the real world. I intend to share…
📌 5 Ways You Are Sabotaging AI As A Leader

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-08-15 | ⏱️ Read time: 9 min read

The key mistakes that are derailing AI potential and burning investment
📌 A Fresh Look at Nonlinearity in Deep Learning

🗂 Category: DEEP LEARNING

🕒 Date: 2024-08-15 | ⏱️ Read time: 9 min read

The traditional reasoning behind why we need nonlinear activation functions is only one dimension of…
📌 Vision Transformers, Contrastive Learning, Causal Inference, and Other Deep Dives You Shouldn’t Miss

🗂 Category: DATA SCIENCE

🕒 Date: 2024-08-15 | ⏱️ Read time: 3 min read

Our weekly selection of must-read Editors’ Picks and original features
📌 How to Create Well-Styled Streamlit Dataframes, Part 1: Using the Pandas Styler

🗂 Category: DATA SCIENCE

🕒 Date: 2024-08-14 | ⏱️ Read time: 6 min read

Streamlit and the pandas Styler object are not friends. But, we will change that!
📌 Towards Mamba State Space Models for Images, Videos and Time Series

🗂 Category: DEEP LEARNING

🕒 Date: 2024-08-14 | ⏱️ Read time: 20 min read

Part 1
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📌 Dummy Classifier Explained: A Visual Guide with Code Examples for Beginners

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-08-14 | ⏱️ Read time: 7 min read

Setting the Bar in Machine Learning with Simple Baseline Models
📌 Must-Know in Statistics: The Bivariate Normal Projection Explained

🗂 Category: DATA SCIENCE

🕒 Date: 2024-08-14 | ⏱️ Read time: 7 min read

Derivation and practical examples of this powerful concept
📌 Must-Know Techniques for Handling Big Data in Hive

🗂 Category: DATA SCIENCE

🕒 Date: 2024-08-14 | ⏱️ Read time: 8 min read

HQL’s Unique Features- PARTITIONED BY, STORED AS, DISTRIBUTE BY / CLUSTER BY, LATERAL VIEW with…
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📌 VAE for Time Series

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-08-14 | ⏱️ Read time: 11 min read

Generate realistic sequential data with this easy-to-train model
📌 Heckman Selection Bias Modeling in Causal Studies

🗂 Category: STATISTICS

🕒 Date: 2024-08-14 | ⏱️ Read time: 9 min read

How selection bias is related to the identification assumptions of OLS, and what steps should…
📌 How to Talk to a PDF File Without Using Proprietary Models: CLI + Streamlit + Ollama

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-08-14 | ⏱️ Read time: 17 min read

A contribution to the creation of a locally executed, free PDF chat app with Streamlit…
📌 Massive Energy for Massive GPU Empowering AI

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-08-18 | ⏱️ Read time: 7 min read

Massive GPUs for AI model training and deployment require significant energy. As AI scales, optimizing…
📌 The Math Behind Keras 3 Optimizers: Deep Understanding and Application

🗂 Category: DATA SCIENCE

🕒 Date: 2024-08-17 | ⏱️ Read time: 9 min read

This is a bit different from what the books say.
📌 Exploring cancer types with neo4j

🗂 Category:

🕒 Date: 2024-08-17 | ⏱️ Read time: 7 min read

How to identify and visualise clusters in knowledge graphs
📌 Adapting the Azure Landing Zone for a Data Platform in the Cloud

🗂 Category: DATA ENGINEERING

🕒 Date: 2024-08-16 | ⏱️ Read time: 8 min read

Working with sensitive data or within a highly regulated environment requires safe and secure cloud…
📌 Writing a Good Job Denoscription for Data Science/Machine Learning

🗂 Category: DATA SCIENCE

🕒 Date: 2024-08-16 | ⏱️ Read time: 16 min read

Things to do and things to avoid in order to find the right candidates for…
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📌 How to Build Helpful RAGs with Query Routing.

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-08-16 | ⏱️ Read time: 11 min read

An LLM can handle general routing. Semantic search can handle private data better. Which one…