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.
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Machine Learning
38.9K subscribers
Machine Learning
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How to Easily Set Up a Neat User Interface for Your Local LLM
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Category:
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Date: 2024-08-28 |
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Read time: 5 min read
A step-by-step guide to run Llama3 locally with Open WebUI
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DSLP β The Data Science Project Management Framework that Transformed My Team
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Category: AGILE
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Date: 2024-08-28 |
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Read time: 19 min read
It is the best framework for Data Science, by far. Use it for your teamβ¦
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Climate Change in the Countryside
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Category: CLIMATE CHANGE
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Date: 2024-08-28 |
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Read time: 13 min read
A Python project for climate warriors
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Enforcing JSON outputs in commercial LLMs
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Category:
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Date: 2024-08-28 |
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Read time: 11 min read
A comprehensive guide
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How AI Could Soon Take Human-Computer Interaction to New Levels
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2024-08-28 |
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Read time: 22 min read
As AI models reach excellence in speech recognition and synthesis, text processing, and multimodalism, theβ¦
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Beating Connect Four with AI
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2024-08-28 |
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Read time: 9 min read
A Simple Approach Using Monte Carlo Simulations
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Analytics Frameworks Every Data Scientist Should Know
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Category: DATA SCIENCE
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Date: 2024-08-28 |
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Read time: 12 min read
Why I believe my experience at McKinsey made me a better data scientist
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Need for Speed: Streamlit vs Functool Caching
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Category: DATA SCIENCE
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Date: 2024-08-28 |
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Read time: 14 min read
Comparing the performance of streamlit and functools caching for pandas and polars. The results willβ¦
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Boosting LLM Inference Speed Using Speculative Decoding
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2024-08-27 |
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Read time: 7 min read
A practical guide on using cutting-edge optimization techniques to speed up inference
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Building a Robust Data Observability Framework to Ensure Data Quality and Integrity
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Category:
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Date: 2024-08-27 |
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Read time: 9 min read
How can we improve observability with open-source tools?
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The MMD-Critic Method, Explained
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2024-08-27 |
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Read time: 12 min read
A powerful yet under-the-radar method for data summarization and explainable AI
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Building a Command-Line Quiz Application in R
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Category: DATA SCIENCE
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Date: 2025-10-05 |
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Read time: 6 min read
Practice control flow, input handling, and functions in R by creating an interactive quiz game.
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Missing Value Imputation, Explained: A Visual Guide with Code Examples for Beginners
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Category: MACHINE LEARNING
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Date: 2024-08-27 |
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Read time: 13 min read
One (tiny) dataset, six imputation methods?
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When AI Artists Compete:
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Category: ART
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Date: 2024-08-27 |
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Read time: 10 min read
Insights from My Generative Art Experiment
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A Machine Learning Mobius: Can Models Learn from Each Other?
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2024-08-27 |
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Read time: 18 min read
Novel twists in synthetic data and learning paradigms
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How to Effectively Detect Objects with Metaβs Image Segmentation Model: SAM 2
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Category: MACHINE LEARNING
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Date: 2024-08-27 |
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Read time: 12 min read
Learn how to utilize Metaβs new SAM 2 model to segment anything
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How to Color Polars DataFrame
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Category: DATA SCIENCE
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Date: 2024-08-27 |
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Read time: 6 min read
Continue working with the Polars library while being able to color and style the table
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Exploring the Strategic Capabilities of LLMs in a Risk Game Setting
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Category: DATA SCIENCE
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Date: 2024-08-27 |
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Read time: 39 min read
In a simulated Risk environment, large language models from Anthropic, OpenAI, and Meta showcase distinctβ¦
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AWS DeepRacer : A Practical Guide to Reducing The Sim2Real Gap β Part 2 || Training Guide
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Category: ROBOTICS
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Date: 2024-08-26 |
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Read time: 13 min read
This article describes how to train the AWS DeepRacer to drive safely around a trackβ¦
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No Baseline? No Benchmarks? No Biggie! An Experimental Approach to Agile Chatbot Development
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Category: INNOVATION
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Date: 2024-08-26 |
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Read time: 15 min read
Lessons learned bringing LLM-based products to production
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How to Achieve Near Human-Level Performance in Chunking for RAGs
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2024-08-26 |
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Read time: 10 min read
The costly yet powerful splitting technique for superior RAG retrieval
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