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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πŸ“Œ Estimate the unobserved – Moving-Average Model Estimation with Maximum Likelihood in Python

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-06-28 | ⏱️ Read time: 8 min read

How unobserved covariates’ coefficients can be estimated with MLE
πŸ“Œ Diving Deep into AutoGen and Agentic Frameworks

πŸ—‚ Category:

πŸ•’ Date: 2024-06-28 | ⏱️ Read time: 13 min read

This blog post will go into the details of the β€œAutoGen: Enabling Next-Gen LLM Applications…
πŸ“Œ Safeguarding Demand Forecasting with Causal Graphs

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-06-28 | ⏱️ Read time: 11 min read

Causal AI, exploring the integration of causal reasoning into machine learning
πŸ“Œ The History of Convolutional Neural Networks for Image Classification (1989- Today)

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2024-06-28 | ⏱️ Read time: 18 min read

A tour through the history of Computer Vision!
πŸ“Œ The Math Behind Risk – Part 1

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-06-28 | ⏱️ Read time: 11 min read

Does the attack really have an advantage in the game of world conquest?
πŸ“Œ I Invented a Way to Speak to an AI, Keeping Your Privacy

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-06-28 | ⏱️ Read time: 9 min read

The tech is called β€œSilent Voice.”
πŸ“Œ Understanding Transformers

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2024-06-27 | ⏱️ Read time: 12 min read

A straightforward breakdown of β€œAttention is All You Need”¹
πŸ“Œ Prompt Engineering: Tips, Approaches, and Future Directions

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-06-27 | ⏱️ Read time: 5 min read

Our weekly selection of must-read Editors’ Picks and original features
πŸ“Œ Classification Loss Functions: Intuition and Applications

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-06-27 | ⏱️ Read time: 9 min read

A simpler way to understand derivations of loss functions for classification and when/how to apply…
πŸ“Œ 3 Challenges to Being a Data Scientist in 2024

πŸ—‚ Category: CAREER ADVICE

πŸ•’ Date: 2024-06-27 | ⏱️ Read time: 7 min read

Given the current climate, is data science for you?
πŸ“Œ A Complete Guide to Master Step Functions on AWS

πŸ—‚ Category: SCIENCE AND TECHNOLOGY

πŸ•’ Date: 2024-06-27 | ⏱️ Read time: 10 min read

Workflow orchestration made easier
πŸ“Œ The Ultimate Guide to Finding Outliers in Your Time-Series Data (Part 2)

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-06-26 | ⏱️ Read time: 1 min read

Effective machine learning methods and tools for outlier detection in time-series analysis
πŸ“Œ How Bend Works: A Parallel Programming Language That β€œFeels Like Python but Scales Like CUDA”

πŸ—‚ Category:

πŸ•’ Date: 2024-06-26 | ⏱️ Read time: 26 min read

A brief introduction to Lambda Calculus, Interaction Combinators, and how they are used to parallelize…
πŸ“Œ Business Planning with Python – Revenue Optimization

πŸ—‚ Category: BUSINESS

πŸ•’ Date: 2024-06-26 | ⏱️ Read time: 14 min read

How can you use data analytics to help small businesses maximize their revenue while maintaining…
πŸ“Œ The Intuitive Basics of Optimization

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-06-26 | ⏱️ Read time: 14 min read

A gentle introduction to the amazing field of optimization
πŸ“Œ Improving RAG Performance Using Rerankers

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-06-25 | ⏱️ Read time: 11 min read

A tutorial on using rerankers to improve your RAG pipeline
πŸ“Œ Making LLMs Write Better and Better Code for Self-Driving Using LangProp

πŸ—‚ Category: CHATGPT

πŸ•’ Date: 2024-06-25 | ⏱️ Read time: 11 min read

Analogy from classical machine learning: LLM (Large Language Model) = optimizer; code = parameters; LangProp…
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πŸ“Œ A New Method to Detect β€œConfabulations” Hallucinated by Large Language Models

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-06-25 | ⏱️ Read time: 12 min read

By calculating semantic entropy with a second LLM, we can better flag answers as unreliable…
πŸ€–πŸ§  Ultimate OpenTSLM: Stanford’s Open-Source Framework Bridging LLMs and Medical Time-Series Data

πŸ—“οΈ 13 Oct 2025
πŸ“š AI News & Trends

In recent years, artificial intelligence (AI) has made remarkable strides in transforming healthcare. From medical imaging to patient monitoring systems, AI-driven solutions are reshaping how clinicians diagnose, treat and manage diseases. One of the most promising developments in this space is the integration of large language models (LLMs) with time-series data, a combination that holds ...

#OpenTSLM #LLMs #MedicalAI #TimeSeriesData #ArtificialIntelligence #OpenSourceFramework
πŸ€–πŸ§  Jio AI Classroom: Learn Artificial Intelligence for Free with Jio Institute & JioPC App

πŸ—“οΈ 13 Oct 2025
πŸ“š AI News & Trends

Artificial Intelligence (AI) is redefining industries across the globe from healthcare to education, finance and beyond. But for millions of learners in India, access to high-quality AI education has often been limited by cost and technical barriers. Bridging this gap, Jio Institute in collaboration with JioPC App has launched a unique free online AI learning ...

#JioAIClassroom #ArtificialIntelligence #FreeAIEducation #JioInstitute #JioPCApp #AILearning
πŸ“Œ Judge an LLM Judge: A Dual-Layer Evaluation Framework for Continuous Improvement of LLM Evaluation

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-07-17 | ⏱️ Read time: 13 min read

Can β€œthe evaluation of an LLM application by an LLM judge” be audited by another…