๐ Generating Artwork in Python Inspired by Hirstโs Million-Dollar Spots Painting
๐ Category: PROGRAMMING
๐ Date: 2025-12-18 | โฑ๏ธ Read time: 6 min read
Using Python to generate art
#DataScience #AI #Python
๐ Category: PROGRAMMING
๐ Date: 2025-12-18 | โฑ๏ธ Read time: 6 min read
Using Python to generate art
#DataScience #AI #Python
โค2
๐ The Machine Learning โAdvent Calendarโ Day 18: Neural Network Classifier in Excel
๐ Category: MACHINE LEARNING
๐ Date: 2025-12-18 | โฑ๏ธ Read time: 12 min read
Understanding forward propagation and backpropagation through explicit formulas
#DataScience #AI #Python
๐ Category: MACHINE LEARNING
๐ Date: 2025-12-18 | โฑ๏ธ Read time: 12 min read
Understanding forward propagation and backpropagation through explicit formulas
#DataScience #AI #Python
โค1
๐ The Machine Learning โAdvent Calendarโ Day 19: Bagging in Excel
๐ Category: MACHINE LEARNING
๐ Date: 2025-12-19 | โฑ๏ธ Read time: 11 min read
Understanding ensemble learning from first principles in Excel
#DataScience #AI #Python
๐ Category: MACHINE LEARNING
๐ Date: 2025-12-19 | โฑ๏ธ Read time: 11 min read
Understanding ensemble learning from first principles in Excel
#DataScience #AI #Python
๐ Agentic AI Swarm Optimization using Artificial Bee Colonization (ABC)
๐ Category: AGENTIC AI
๐ Date: 2025-12-19 | โฑ๏ธ Read time: 27 min read
Using Agentic AI prompts with the Artificial Bee Colony algorithm to enhance unsupervised clustering andโฆ
#DataScience #AI #Python
๐ Category: AGENTIC AI
๐ Date: 2025-12-19 | โฑ๏ธ Read time: 27 min read
Using Agentic AI prompts with the Artificial Bee Colony algorithm to enhance unsupervised clustering andโฆ
#DataScience #AI #Python
๐ How I Optimized My Leaf Raking Strategy Using Linear Programming
๐ Category: DATA SCIENCE
๐ Date: 2025-12-19 | โฑ๏ธ Read time: 13 min read
From a weekend chore to a fun application of valuable operations research principles
#DataScience #AI #Python
๐ Category: DATA SCIENCE
๐ Date: 2025-12-19 | โฑ๏ธ Read time: 13 min read
From a weekend chore to a fun application of valuable operations research principles
#DataScience #AI #Python
โค2
๐ Six Lessons Learned Building RAG Systems in Production
๐ Category: LARGE LANGUAGE MODELS
๐ Date: 2025-12-19 | โฑ๏ธ Read time: 10 min read
Best practices for data quality, retrieval design, and evaluation in production RAG systems
#DataScience #AI #Python
๐ Category: LARGE LANGUAGE MODELS
๐ Date: 2025-12-19 | โฑ๏ธ Read time: 10 min read
Best practices for data quality, retrieval design, and evaluation in production RAG systems
#DataScience #AI #Python
โค2
Forwarded from Machine Learning with Python
๐Stanford just completed a must-watch for anyone serious about AI:
๐ โ๐๐ ๐ ๐ฎ๐ต๐ฑ: ๐ง๐ฟ๐ฎ๐ป๐๐ณ๐ผ๐ฟ๐บ๐ฒ๐ฟ๐ & ๐๐ฎ๐ฟ๐ด๐ฒ ๐๐ฎ๐ป๐ด๐๐ฎ๐ด๐ฒ ๐ ๐ผ๐ฑ๐ฒ๐น๐โ is now live entirely on YouTube and itโs pure gold.
If youโre building your AI career, stop scrolling.
This isnโt another surface-level overview. Itโs the clearest, most structured intro to LLMs you could follow, straight from the Stanford Autumn 2025 curriculum.
๐ ๐ง๐ผ๐ฝ๐ถ๐ฐ๐ ๐ฐ๐ผ๐๐ฒ๐ฟ๐ฒ๐ฑ ๐ถ๐ป๐ฐ๐น๐๐ฑ๐ฒ:
โข How Transformers actually work (tokenization, attention, embeddings)
โข Decoding strategies & MoEs
โข LLM finetuning (LoRA, RLHF, supervised)
โข Evaluation techniques (LLM-as-a-judge)
โข Optimization tricks (RoPE, quantization, approximations)
โข Reasoning & scaling
โข Agentic workflows (RAG, tool calling)
๐ง My workflow: I usually take the transcripts, feed them into NotebookLM, and once Iโve done the lectures, I replay them during walks or commutes. That combo works wonders for retention.
๐ฅ Watch these now:
- Lecture 1: https://lnkd.in/dDER-qyp
- Lecture 2: https://lnkd.in/dk-tGUDm
- Lecture 3: https://lnkd.in/drAPdjJY
- Lecture 4: https://lnkd.in/e_RSgMz7
- Lecture 5: https://lnkd.in/eivMA9pe
- Lecture 6: https://lnkd.in/eYwwwMXn
- Lecture 7: https://lnkd.in/eKwkEDXV
- Lecture 8: https://lnkd.in/eEWvyfyK
- Lecture 9: https://lnkd.in/euiKRGaQ
๐ Do yourself a favor for this 2026: block 2-3 hours per week / llectue and go through them.
If youโre in AI โ whether building infra, agents, or apps โ this is the foundational course you donโt want to miss.
Letโs level up.
https://t.me/CodeProgrammer๐
๐ โ๐๐ ๐ ๐ฎ๐ต๐ฑ: ๐ง๐ฟ๐ฎ๐ป๐๐ณ๐ผ๐ฟ๐บ๐ฒ๐ฟ๐ & ๐๐ฎ๐ฟ๐ด๐ฒ ๐๐ฎ๐ป๐ด๐๐ฎ๐ด๐ฒ ๐ ๐ผ๐ฑ๐ฒ๐น๐โ is now live entirely on YouTube and itโs pure gold.
If youโre building your AI career, stop scrolling.
This isnโt another surface-level overview. Itโs the clearest, most structured intro to LLMs you could follow, straight from the Stanford Autumn 2025 curriculum.
๐ ๐ง๐ผ๐ฝ๐ถ๐ฐ๐ ๐ฐ๐ผ๐๐ฒ๐ฟ๐ฒ๐ฑ ๐ถ๐ป๐ฐ๐น๐๐ฑ๐ฒ:
โข How Transformers actually work (tokenization, attention, embeddings)
โข Decoding strategies & MoEs
โข LLM finetuning (LoRA, RLHF, supervised)
โข Evaluation techniques (LLM-as-a-judge)
โข Optimization tricks (RoPE, quantization, approximations)
โข Reasoning & scaling
โข Agentic workflows (RAG, tool calling)
๐ง My workflow: I usually take the transcripts, feed them into NotebookLM, and once Iโve done the lectures, I replay them during walks or commutes. That combo works wonders for retention.
๐ฅ Watch these now:
- Lecture 1: https://lnkd.in/dDER-qyp
- Lecture 2: https://lnkd.in/dk-tGUDm
- Lecture 3: https://lnkd.in/drAPdjJY
- Lecture 4: https://lnkd.in/e_RSgMz7
- Lecture 5: https://lnkd.in/eivMA9pe
- Lecture 6: https://lnkd.in/eYwwwMXn
- Lecture 7: https://lnkd.in/eKwkEDXV
- Lecture 8: https://lnkd.in/eEWvyfyK
- Lecture 9: https://lnkd.in/euiKRGaQ
๐ Do yourself a favor for this 2026: block 2-3 hours per week / llectue and go through them.
If youโre in AI โ whether building infra, agents, or apps โ this is the foundational course you donโt want to miss.
Letโs level up.
https://t.me/CodeProgrammer
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๐ Understanding the Generative AI User
๐ Category: PRODUCT MANAGEMENT
๐ Date: 2025-12-20 | โฑ๏ธ Read time: 11 min read
What do regular technology users think (and know) about AI?
#DataScience #AI #Python
๐ Category: PRODUCT MANAGEMENT
๐ Date: 2025-12-20 | โฑ๏ธ Read time: 11 min read
What do regular technology users think (and know) about AI?
#DataScience #AI #Python
โค2
๐ EDA in Public (Part 2): Product Deep Dive & Time-Series Analysis in Pandas
๐ Category: DATA SCIENCE
๐ Date: 2025-12-20 | โฑ๏ธ Read time: 9 min read
Learn how to analyze product performance, extract time-series features, and uncover key seasonal trends inโฆ
#DataScience #AI #Python
๐ Category: DATA SCIENCE
๐ Date: 2025-12-20 | โฑ๏ธ Read time: 9 min read
Learn how to analyze product performance, extract time-series features, and uncover key seasonal trends inโฆ
#DataScience #AI #Python
โค1
๐ Tools for Your LLM: a Deep Dive into MCP
๐ Category: LLM APPLICATIONS
๐ Date: 2025-12-21 | โฑ๏ธ Read time: 8 min read
MCP is a key enabler into turning your LLM into an agent by providing itโฆ
#DataScience #AI #Python
๐ Category: LLM APPLICATIONS
๐ Date: 2025-12-21 | โฑ๏ธ Read time: 8 min read
MCP is a key enabler into turning your LLM into an agent by providing itโฆ
#DataScience #AI #Python
โค3
๐ How to Do Evals on a Bloated RAG Pipeline
๐ Category: LARGE LANGUAGE MODELS
๐ Date: 2025-12-21 | โฑ๏ธ Read time: 71 min read
Comparing metrics across datasets and models
#DataScience #AI #Python
๐ Category: LARGE LANGUAGE MODELS
๐ Date: 2025-12-21 | โฑ๏ธ Read time: 71 min read
Comparing metrics across datasets and models
#DataScience #AI #Python
โค1
๐ Master Data Science & Programming!
Unlock your potential with this curated list of Telegram channels. Whether you need books, datasets, interview prep, or project ideas, we have the perfect resource for you. Join the community today!
๐ฐ Machine Learning with Python
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
https://t.me/CodeProgrammer
๐ Machine Learning
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.
https://t.me/DataScienceM
๐ง Code With Python
This channel delivers clear, practical content for developers, covering Python, Django, Data Structures, Algorithms, and DSA โ perfect for learning, coding, and mastering key programming skills.
https://t.me/DataScience4
๐ฏ PyData Careers | Quiz
Python Data Science jobs, interview tips, and career insights for aspiring professionals.
https://t.me/DataScienceQ
๐พ Kaggle Data Hub
Your go-to hub for Kaggle datasets โ explore, analyze, and leverage data for Machine Learning and Data Science projects.
https://t.me/datasets1
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The first channel in Telegram that offers free Udemy coupons
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Advancing research in Machine Learning โ practical insights, tools, and techniques for researchers.
https://t.me/DataScienceT
๐ฌ Data Science Chat
An active community group for discussing data challenges and networking with peers.
https://t.me/DataScience9
๐ Python Arab| ุจุงูุซูู ุนุฑุจู
The largest Arabic-speaking group for Python developers to share knowledge and help.
https://t.me/PythonArab
๐ Data Science Jupyter Notebooks
Explore the world of Data Science through Jupyter Notebooksโinsights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
https://t.me/DataScienceN
๐บ Free Online Courses | Videos
Free online courses covering data science, machine learning, analytics, programming, and essential skills for learners.
https://t.me/DataScienceV
๐ Data Analytics
Dive into the world of Data Analytics โ uncover insights, explore trends, and master data-driven decision making.
https://t.me/DataAnalyticsX
๐ง Learn Python Hub
Master Python with step-by-step courses โ from basics to advanced projects and practical applications.
https://t.me/Python53
โญ๏ธ Research Papers
Professional Academic Writing & Simulation Services
https://t.me/DataScienceY
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Admin: @HusseinSheikho
Unlock your potential with this curated list of Telegram channels. Whether you need books, datasets, interview prep, or project ideas, we have the perfect resource for you. Join the community today!
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
https://t.me/CodeProgrammer
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.
https://t.me/DataScienceM
This channel delivers clear, practical content for developers, covering Python, Django, Data Structures, Algorithms, and DSA โ perfect for learning, coding, and mastering key programming skills.
https://t.me/DataScience4
Python Data Science jobs, interview tips, and career insights for aspiring professionals.
https://t.me/DataScienceQ
Your go-to hub for Kaggle datasets โ explore, analyze, and leverage data for Machine Learning and Data Science projects.
https://t.me/datasets1
The first channel in Telegram that offers free Udemy coupons
https://t.me/DataScienceC
Advancing research in Machine Learning โ practical insights, tools, and techniques for researchers.
https://t.me/DataScienceT
An active community group for discussing data challenges and networking with peers.
https://t.me/DataScience9
The largest Arabic-speaking group for Python developers to share knowledge and help.
https://t.me/PythonArab
Explore the world of Data Science through Jupyter Notebooksโinsights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
https://t.me/DataScienceN
Free online courses covering data science, machine learning, analytics, programming, and essential skills for learners.
https://t.me/DataScienceV
Dive into the world of Data Analytics โ uncover insights, explore trends, and master data-driven decision making.
https://t.me/DataAnalyticsX
Master Python with step-by-step courses โ from basics to advanced projects and practical applications.
https://t.me/Python53
Professional Academic Writing & Simulation Services
https://t.me/DataScienceY
โโโโโโโโโโโโโโโโโโ
Admin: @HusseinSheikho
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โค2
๐ The Geometry of Laziness: What Angles Reveal About AI Hallucinations
๐ Category: LARGE LANGUAGE MODELS
๐ Date: 2025-12-22 | โฑ๏ธ Read time: 12 min read
A story about failing forward, spheres you canโt visualize, and why sometimes the math knowsโฆ
#DataScience #AI #Python
๐ Category: LARGE LANGUAGE MODELS
๐ Date: 2025-12-22 | โฑ๏ธ Read time: 12 min read
A story about failing forward, spheres you canโt visualize, and why sometimes the math knowsโฆ
#DataScience #AI #Python
โค1
๐ Understanding Vibe Proving
๐ Category: LARGE LANGUAGE MODELS
๐ Date: 2025-12-22 | โฑ๏ธ Read time: 18 min read
How to make LLMs reason with verifiable, step-by-step logic (Part 1)
#DataScience #AI #Python
๐ Category: LARGE LANGUAGE MODELS
๐ Date: 2025-12-22 | โฑ๏ธ Read time: 18 min read
How to make LLMs reason with verifiable, step-by-step logic (Part 1)
#DataScience #AI #Python
โค1
Forwarded from Machine Learning with Python
AI-ML Roadmap from Scratch
๐ https://github.com/aadi1011/AI-ML-Roadmap-from-scratch?tab=readme-ov-file
https://t.me/CodeProgrammer๐
Like and Share
https://t.me/CodeProgrammer
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โค2
๐ The Machine Learning โAdvent Calendarโ Day 22: Embeddings in Excel
๐ Category: MACHINE LEARNING
๐ Date: 2025-12-22 | โฑ๏ธ Read time: 8 min read
Understanding text embeddings through simple models and Excel
#DataScience #AI #Python
๐ Category: MACHINE LEARNING
๐ Date: 2025-12-22 | โฑ๏ธ Read time: 8 min read
Understanding text embeddings through simple models and Excel
#DataScience #AI #Python
๐ Synergy in Clicks: Harsanyi Dividends for E-Commerce
๐ Category: DATA SCIENCE
๐ Date: 2025-12-23 | โฑ๏ธ Read time: 19 min read
A brief overview of the math behind the Harsanyi Dividend and a real-world application inโฆ
#DataScience #AI #Python
๐ Category: DATA SCIENCE
๐ Date: 2025-12-23 | โฑ๏ธ Read time: 19 min read
A brief overview of the math behind the Harsanyi Dividend and a real-world application inโฆ
#DataScience #AI #Python
โค2
๐ The Machine Learning โAdvent Calendarโ Day 21: Gradient Boosted Decision Tree Regressor in Excel
๐ Category: MACHINE LEARNING
๐ Date: 2025-12-22 | โฑ๏ธ Read time: 10 min read
Gradient descent in function space with decision trees
#DataScience #AI #Python
๐ Category: MACHINE LEARNING
๐ Date: 2025-12-22 | โฑ๏ธ Read time: 10 min read
Gradient descent in function space with decision trees
#DataScience #AI #Python
โค1
๐ The Machine Learning โAdvent Calendarโ Day 20: Gradient Boosted Linear Regression in Excel
๐ Category: MACHINE LEARNING
๐ Date: 2025-12-22 | โฑ๏ธ Read time: 10 min read
From Random Ensembles to Optimization: Gradient Boosting Explained
#DataScience #AI #Python
๐ Category: MACHINE LEARNING
๐ Date: 2025-12-22 | โฑ๏ธ Read time: 10 min read
From Random Ensembles to Optimization: Gradient Boosting Explained
#DataScience #AI #Python
โค1
๐ ChatLLM Presents a Streamlined Solution to Addressing the Real Bottleneck in AI
๐ Category: SPONSORED CONTENT
๐ Date: 2025-12-22 | โฑ๏ธ Read time: 8 min read
For the last couple of years, a lot of the conversation around AI has revolvedโฆ
#DataScience #AI #Python
๐ Category: SPONSORED CONTENT
๐ Date: 2025-12-22 | โฑ๏ธ Read time: 8 min read
For the last couple of years, a lot of the conversation around AI has revolvedโฆ
#DataScience #AI #Python
โค2
๐ The Machine Learning โAdvent Calendarโ Day 23: CNN in Excel
๐ Category: MACHINE LEARNING
๐ Date: 2025-12-23 | โฑ๏ธ Read time: 8 min read
A step-by-step 1D CNN for text, built in Excel, where every filter, weight, and decisionโฆ
#DataScience #AI #Python
๐ Category: MACHINE LEARNING
๐ Date: 2025-12-23 | โฑ๏ธ Read time: 8 min read
A step-by-step 1D CNN for text, built in Excel, where every filter, weight, and decisionโฆ
#DataScience #AI #Python