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.iss.one/DataScienceM
https://t.iss.one/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👍1
📌 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
❤1
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.iss.one/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.iss.one/CodeProgrammer
❤1
📌 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
❤3
📌 How to Keep MCPs Useful in Agentic Pipelines
🗂 Category: AGENTIC AI
🕒 Date: 2026-01-03 | ⏱️ Read time: 10 min read
Check the tools your LLM uses before replacing it with just a more powerful model
#DataScience #AI #Python
🗂 Category: AGENTIC AI
🕒 Date: 2026-01-03 | ⏱️ Read time: 10 min read
Check the tools your LLM uses before replacing it with just a more powerful model
#DataScience #AI #Python
❤5👍1
A convenient cheat sheet for those who work with data analysis and ML.
Here are collected the main functions for:
▶️ Creating and modifying arrays;▶️ Mathematical operations;▶️ Working with matrices and vectors;▶️ Sorting and searching for values.
Save it for yourself — it will come in handy when working with NumPy.
tags: #NumPy #Python
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📌 Prompt Engineering vs RAG for Editing Resumes
🗂 Category: LLM APPLICATIONS
🕒 Date: 2026-01-04 | ⏱️ Read time: 12 min read
Running a code-free comparison in Azure
#DataScience #AI #Python
🗂 Category: LLM APPLICATIONS
🕒 Date: 2026-01-04 | ⏱️ Read time: 12 min read
Running a code-free comparison in Azure
#DataScience #AI #Python
❤1👍1
📌 How to Filter for Dates, Including or Excluding Future Dates, in Semantic Models
🗂 Category: DATA ANALYSIS
🕒 Date: 2026-01-04 | ⏱️ Read time: 5 min read
It is common to have either planning data or the previous year’s data displayed beyond…
#DataScience #AI #Python
🗂 Category: DATA ANALYSIS
🕒 Date: 2026-01-04 | ⏱️ Read time: 5 min read
It is common to have either planning data or the previous year’s data displayed beyond…
#DataScience #AI #Python
nature papers: 1400$
Q1 and Q2 papers 900$
Q3 and Q4 papers 500$
Doctoral thesis (complete) 700$
M.S thesis 300$
paper simulation 200$
Contact me
https://t.iss.one/m/-nTmpj5vYzNk
Q1 and Q2 papers 900$
Q3 and Q4 papers 500$
Doctoral thesis (complete) 700$
M.S thesis 300$
paper simulation 200$
Contact me
https://t.iss.one/m/-nTmpj5vYzNk
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OnSpace Mobile App builder: Build AI Apps in minutes
Visit website: https://www.onspace.ai/?via=tg_datas
Or Download app:https://onspace.onelink.me/za8S/h1jb6sb9?c=datas
With OnSpace, you can build website or AI Mobile Apps by chatting with AI, and publish to PlayStore or AppStore.
What will you get:
✔️ Create app or website by chatting with AI;
✔️ Integrate with Any top AI power just by giving order (like Sora2, Nanobanan Pro & Gemini 3 Pro);
✔️ Download APK,AAB file, publish to AppStore.
✔️ Add payments and monetize like in-app-purchase and Stripe.
✔️ Functional login & signup.
✔️ Database + dashboard in minutes.
✔️ Full tutorial on YouTube and within 1 day customer service
Visit website: https://www.onspace.ai/?via=tg_datas
Or Download app:https://onspace.onelink.me/za8S/h1jb6sb9?c=datas
With OnSpace, you can build website or AI Mobile Apps by chatting with AI, and publish to PlayStore or AppStore.
What will you get:
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❤2
📌 Stop Blaming the Data: A Better Way to Handle Covariance Shift
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-05 | ⏱️ Read time: 9 min read
Instead of using shift as an excuse for poor performance, use Inverse Probability Weighting to…
#DataScience #AI #Python
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-05 | ⏱️ Read time: 9 min read
Instead of using shift as an excuse for poor performance, use Inverse Probability Weighting to…
#DataScience #AI #Python
❤2
📌 YOLOv1 Loss Function Walkthrough: Regression for All
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2026-01-05 | ⏱️ Read time: 26 min read
An explanation of how YOLOv1 measures the correctness of its object detection and classification predictions
#DataScience #AI #Python
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2026-01-05 | ⏱️ Read time: 26 min read
An explanation of how YOLOv1 measures the correctness of its object detection and classification predictions
#DataScience #AI #Python
📌 How to Optimize Your AI Coding Agent Context
🗂 Category: PROGRAMMING
🕒 Date: 2026-01-06 | ⏱️ Read time: 7 min read
Make your coding agents more efficient
#DataScience #AI #Python
🗂 Category: PROGRAMMING
🕒 Date: 2026-01-06 | ⏱️ Read time: 7 min read
Make your coding agents more efficient
#DataScience #AI #Python
📌 GliNER2: Extracting Structured Information from Text
🗂 Category: NATURAL LANGUAGE PROCESSING
🕒 Date: 2026-01-06 | ⏱️ Read time: 11 min read
From unstructured text to structured Knowledge Graphs
#DataScience #AI #Python
🗂 Category: NATURAL LANGUAGE PROCESSING
🕒 Date: 2026-01-06 | ⏱️ Read time: 11 min read
From unstructured text to structured Knowledge Graphs
#DataScience #AI #Python
❤1
📌 Feature Detection, Part 3: Harris Corner Detection
🗂 Category: MACHINE LEARNING
🕒 Date: 2026-01-05 | ⏱️ Read time: 7 min read
Finding the most informative points in images
#DataScience #AI #Python
🗂 Category: MACHINE LEARNING
🕒 Date: 2026-01-05 | ⏱️ Read time: 7 min read
Finding the most informative points in images
#DataScience #AI #Python
❤2
📌 Measuring What Matters with NeMo Agent Toolkit
🗂 Category: LLM APPLICATIONS
🕒 Date: 2026-01-06 | ⏱️ Read time: 13 min read
A practical guide to observability, evaluations, and model comparisons
#DataScience #AI #Python
🗂 Category: LLM APPLICATIONS
🕒 Date: 2026-01-06 | ⏱️ Read time: 13 min read
A practical guide to observability, evaluations, and model comparisons
#DataScience #AI #Python
📌 The Best Data Scientists Are Always Learning
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-06 | ⏱️ Read time: 10 min read
Part 2: Avoiding burnout, learning strategies and the superpower of solitude
#DataScience #AI #Python
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-06 | ⏱️ Read time: 10 min read
Part 2: Avoiding burnout, learning strategies and the superpower of solitude
#DataScience #AI #Python
nature papers: 1400$
Q1 and Q2 papers 900$
Q3 and Q4 papers 500$
Doctoral thesis (complete) 700$
M.S thesis 300$
paper simulation 200$
Contact me
https://t.iss.one/m/-nTmpj5vYzNk
Q1 and Q2 papers 900$
Q3 and Q4 papers 500$
Doctoral thesis (complete) 700$
M.S thesis 300$
paper simulation 200$
Contact me
https://t.iss.one/m/-nTmpj5vYzNk
❤1