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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📌 Tracking in Practice: Code, Data and ML Model

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-07-09 | ⏱️ Read time: 13 min read

A guide to tracking in MLOps
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📌 Doping: A Technique to Test Outlier Detectors

🗂 Category:

🕒 Date: 2024-07-09 | ⏱️ Read time: 18 min read

Using well-crafted synthetic data to compare and evaluate outlier detectors
📌 Implementing Neural Networks in TensorFlow (and PyTorch)

🗂 Category: DEEP LEARNING

🕒 Date: 2024-07-08 | ⏱️ Read time: 6 min read

Step-by-step code guide on building a Neural Network
📌 TensorFlow Transform: Ensuring Seamless Data Preparation in Production

🗂 Category: DATA ENGINEERING

🕒 Date: 2024-07-08 | ⏱️ Read time: 10 min read

Leveraging TensorFlow Transform for scaling data pipelines for production environments
📌 NLP: Text Summarization and Keyword Extraction on Property Rental Listings – Part 1

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-08 | ⏱️ Read time: 13 min read

A practical implementation of NLP techniques such as text summarization, NER, topic modeling, and text…
📌 Is LLM Performance Predetermined by Their Genetic Code?

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-07-08 | ⏱️ Read time: 9 min read

Exploring phylogenetic algorithms to predict the future of large language models
🤖🧠 Artificial Intelligence: A Modern Approach — The Ultimate Number 1 Guide to Learning AI by Stuart Russell and Peter Norvig

🗓️ 12 Oct 2025
📚 AI News & Trends

When it comes to learning artificial intelligence (AI), few resources hold as much authority as “Artificial Intelligence: A Modern Approach” by Stuart Russell and Peter Norvig. Often regarded as the “Bible of AI”, this textbook has become the most widely used academic reference in the field adopted by over 1,500 universities and institutions worldwide. Published ...

#ArtificialIntelligence #AIModernApproach #StuartRussell #PeterNorvig #AIBible #AIEducation
📌 Creative Canvas: Using AI to Paint, Edit, and Stylize Images

🗂 Category:

🕒 Date: 2024-07-08 | ⏱️ Read time: 22 min read

I explored commercial and open-source photo editing systems for the creative use of AI image…
📌 How Many Cars Are in This Aerial Imagery? Let’s Count Them with YOLOv8 from Scratch!

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-08 | ⏱️ Read time: 14 min read

A Step-by-Step Guide to Deploy YOLOv8 for Object Detection and Counting on Your Customized Database…
📌 AI Is Eating Your Algorithms

🗂 Category: CHATGPT

🕒 Date: 2024-07-08 | ⏱️ Read time: 10 min read

How simple prompt engineering can replace custom software
📌 Neural Network (MLP) for Time Series Forecasting in Practice

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-08 | ⏱️ Read time: 18 min read

A Practical Example for Feature Engineering and Constructing an MLP Model
🤖🧠 Grok AI Chatbot (2025): Elon Musk’s Bold Answer to Real-Time, Intelligent Conversation

🗓️ 12 Oct 2025
📚 AI News & Trends

The year 2025 marks a new era in the evolution of conversational AI and at the center of this transformation stands Grok AI, the innovative chatbot developed by Elon Musk’s company xAI. Grok isn’t just another virtual assistant; it’s a real-time intelligent system that combines deep reasoning with a unique, witty personality. What truly sets ...

#GrokAI #xAI #ConversationalAI #ElonMusk #RealTimeAI #IntelligentChatbot
📌 Optimum Assignment and the Hungarian Algorithm

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-07 | ⏱️ Read time: 13 min read

This article provides a step by step example of how the Hungarian algorithm solves the…
📌 Understanding and Implementing Medprompt

🗂 Category: CHATGPT

🕒 Date: 2024-07-06 | ⏱️ Read time: 16 min read

Digging into the details behind the prompting framework
📌 AI Training Simplified: The Essential Mathematics Explained

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-06 | ⏱️ Read time: 4 min read

An Illustrated Overview of Mathematical Logic Used in AI Training
📌 How Big Tech Is Exploiting Content Creators, And (Trying To) Get Away With It

🗂 Category: BIG TECH

🕒 Date: 2024-07-05 | ⏱️ Read time: 20 min read

If you’re reading this, you’re part of the content creator ecosystem: either as a fellow…
📌 LLM Alignment: Reward-Based vs Reward-Free Methods

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-07-05 | ⏱️ Read time: 12 min read

Optimization methods for LLM alignment
🤖🧠 Try Powerful Mem0 AI to build Long-Term Memory for AI Agents

🗓️ 12 Oct 2025
📚 AI News & Trends

Artificial Intelligence has made incredible leaps in recent years from chatbots that converse naturally to AI agents capable of reasoning and decision-making. However, one major limitation has persisted: memory. Traditional large language models (LLMs) like ChatGPT or Claude can process vast data but fail to remember context across long interactions. This is where Mem0 AI, ...

#Mem0AI #AIAgents #LongTermMemory #ArtificialIntelligence #AIMemory #LLMs
📌 Time Series Forecasting in the Age of GenAI: Make Gradient Boosting Behaves like LLMs

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-04 | ⏱️ Read time: 6 min read

Applying zero-shot forecasting with standard machine learning models
📌 PySpark Explained: Four Ways to Create and Populate DataFrames

🗂 Category: DATA ENGINEERING

🕒 Date: 2024-07-04 | ⏱️ Read time: 11 min read

From CSVs to databases: loading data into PySpark DataFrames
📌 The Machine Learning Guide for Predictive Accuracy: Interpolation and Extrapolation

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-07-04 | ⏱️ Read time: 15 min read

Evaluating machine learning models beyond training data