📌 Production-Ready LLMs Made Simple with the NeMo Agent Toolkit
🗂 Category: AGENTIC AI
🕒 Date: 2025-12-31 | ⏱️ Read time: 23 min read
From simple chat to multi-agent reasoning and real-time REST APIs
#DataScience #AI #Python
🗂 Category: AGENTIC AI
🕒 Date: 2025-12-31 | ⏱️ Read time: 23 min read
From simple chat to multi-agent reasoning and real-time REST APIs
#DataScience #AI #Python
📌 What Advent of Code Has Taught Me About Data Science
🗂 Category: PROGRAMMING
🕒 Date: 2025-12-31 | ⏱️ Read time: 10 min read
Five key learnings that I discovered during a programming challenge and how they apply to…
#DataScience #AI #Python
🗂 Category: PROGRAMMING
🕒 Date: 2025-12-31 | ⏱️ Read time: 10 min read
Five key learnings that I discovered during a programming challenge and how they apply to…
#DataScience #AI #Python
📌 Chunk Size as an Experimental Variable in RAG Systems
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-12-31 | ⏱️ Read time: 12 min read
Understanding retrieval in RAG systems by experimenting with different chunk sizes
#DataScience #AI #Python
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-12-31 | ⏱️ Read time: 12 min read
Understanding retrieval in RAG systems by experimenting with different chunk sizes
#DataScience #AI #Python
📌 The Machine Learning “Advent Calendar” Bonus 2: Gradient Descent Variants in Excel
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-12-31 | ⏱️ Read time: 8 min read
Gradient Descent, Momentum, RMSProp, and Adam all aim for the same minimum. They do not…
#DataScience #AI #Python
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-12-31 | ⏱️ Read time: 8 min read
Gradient Descent, Momentum, RMSProp, and Adam all aim for the same minimum. They do not…
#DataScience #AI #Python
amazing bot to get all resources about any things search it on telegram
❤1
📌 EDA in Public (Part 3): RFM Analysis for Customer Segmentation in Pandas
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-01 | ⏱️ Read time: 13 min read
How to build, score, and interpret RFM segments step by step
#DataScience #AI #Python
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-01 | ⏱️ Read time: 13 min read
How to build, score, and interpret RFM segments step by step
#DataScience #AI #Python
Forwarded from Machine Learning with Python
Harvard has made its textbook on ML systems publicly available. It's extremely practical: not just about how to train models, but how to build production systems around them - what really matters.
The topics there are really top-notch:
> Building autograd, optimizers, attention, and mini-PyTorch from scratch to understand how the framework is structured internally. (This is really awesome)
> Basic things about DL: batches, computational accuracy, model architectures, and training
> Optimizing ML performance, hardware acceleration, benchmarking, and efficiency
So this isn't just an introductory course on ML, but a complete cycle from start to practical application. You can already read the book and view the code for free. For 2025, this is one of the strongest textbooks to have been released, so it's best not to miss out.
The repository is here, with a link to the book inside👏
👉 @codeprogrammer
The topics there are really top-notch:
> Building autograd, optimizers, attention, and mini-PyTorch from scratch to understand how the framework is structured internally. (This is really awesome)
> Basic things about DL: batches, computational accuracy, model architectures, and training
> Optimizing ML performance, hardware acceleration, benchmarking, and efficiency
So this isn't just an introductory course on ML, but a complete cycle from start to practical application. You can already read the book and view the code for free. For 2025, this is one of the strongest textbooks to have been released, so it's best not to miss out.
The repository is here, with a link to the book inside
Please open Telegram to view this post
VIEW IN TELEGRAM
❤3
📌 Deep Reinforcement Learning: The Actor-Critic Method
🗂 Category: REINFORCEMENT LEARNING
🕒 Date: 2026-01-01 | ⏱️ Read time: 19 min read
Robot friends collaborate to learn to fly a drone
#DataScience #AI #Python
🗂 Category: REINFORCEMENT LEARNING
🕒 Date: 2026-01-01 | ⏱️ Read time: 19 min read
Robot friends collaborate to learn to fly a drone
#DataScience #AI #Python
Cheat sheet for Python for Data Science: covers basic Python syntax (variables, data types, operations, strings), working with lists, NumPy arrays, indexing and slicing, main methods and functions, as well as importing libraries for data analysis
https://t.me/DataScienceM
https://t.me/DataScienceM
❤2
📌 Drift Detection in Robust Machine Learning Systems
🗂 Category: MACHINE LEARNING
🕒 Date: 2026-01-02 | ⏱️ Read time: 18 min read
A prerequisite for long-term success of machine learning systems
#DataScience #AI #Python
🗂 Category: MACHINE LEARNING
🕒 Date: 2026-01-02 | ⏱️ Read time: 18 min read
A prerequisite for long-term success of machine learning systems
#DataScience #AI #Python
❤2
📌 Off-Beat Careers That Are the Future Of Data
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-02 | ⏱️ Read time: 8 min read
The unconventional career paths you need to explore
#DataScience #AI #Python
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-02 | ⏱️ Read time: 8 min read
The unconventional career paths you need to explore
#DataScience #AI #Python
📌 The Real Challenge in Data Storytelling: Getting Buy-In for Simplicity
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-02 | ⏱️ Read time: 7 min read
What happens when your clear dashboard meets stakeholders who want everything on one screen
#DataScience #AI #Python
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-02 | ⏱️ Read time: 7 min read
What happens when your clear dashboard meets stakeholders who want everything on one screen
#DataScience #AI #Python
Forwarded from Machine Learning with Python
All assignments for the #Stanford The Modern Software Developer course are now available online.
This is the first full-fledged university course that covers how code-generative #LLMs are changing every stage of the development lifecycle. The assignments are designed to take you from a beginner to a confident expert in using AI to boost productivity in development.
Enjoy your studies! ✌️
https://github.com/mihail911/modern-software-dev-assignments
https://t.me/CodeProgrammer
This is the first full-fledged university course that covers how code-generative #LLMs are changing every stage of the development lifecycle. The assignments are designed to take you from a beginner to a confident expert in using AI to boost productivity in development.
Enjoy your studies! ✌️
https://github.com/mihail911/modern-software-dev-assignments
https://t.me/CodeProgrammer
📌 Optimizing Data Transfer in AI/ML Workloads
🗂 Category: DEEP LEARNING
🕒 Date: 2026-01-03 | ⏱️ Read time: 16 min read
A deep dive on data transfer bottlenecks, their identification, and their resolution with the help…
#DataScience #AI #Python
🗂 Category: DEEP LEARNING
🕒 Date: 2026-01-03 | ⏱️ Read time: 16 min read
A deep dive on data transfer bottlenecks, their identification, and their resolution with the help…
#DataScience #AI #Python