Qualitative Data Analysis With Chatgpt And Qualcoder: A Step-By-Step Guide To AI-Powered Coding And Thematic Analysis AI-Powered Research Toolkit — Mastering Research Series — available at http://
amzn.to/4bRsV3q
DATA
-

AI-Powered Qualitative Data Analysis: ChatGPT QualCoder Guide
By
–
-

Feature Engineering for Modern Machine Learning with Scikit-Learn
By
–
Feature Engineering for Modern Machine Learning with Scikit-Learn: Advanced Data Science and Practical Applications (Advanced Data Analysis Series) Available at http://
amzn.to/4dJAxav -

Building AI Agents with LLMs RAG Knowledge Graphs
By
–
"Building AI Agents with LLMs, RAG, and Knowledge Graphs — A practical guide to autonomous and modern AI agents" See it at http://
amzn.to/4622k2h via @PacktDataML -

Classic Text on Outlier Detection in Temporal Data Streams
By
–
Classic text on Outlier Detection in Temporal Data: http://
amzn.to/2NZ64cQ … including financial, business, medical, credit, sensor network (IoT / IIoT) time series data streams, plus spatiotemporal data, network data, etc. -

Analytical Skills for AI and Data Science in Enterprise
By
–
Analytical Skills for AI and Data Science — Building Skills for an AI-Driven Enterprise: http://
amzn.to/4b6fufu …helps practitioners to create value from AI and data science using an analytical skillset — each chapter illustrates how each skill works across a collection of use -
Learn Probability Through Problems with Exercises and Solutions
By
–
Learn Probability Through Problems (exercises, hints, and solutions provided): http://
amzn.to/3vZed8W
—————
#Statistics #DataScience #Mathematics -

50 Days of Data Analysis with Python Challenge Book
By
–
Check out this great book >> 50 Days of Data Analysis with Python — The Ultimate Challenges Book for Beginners, with Hands-on Challenges using Pandas, NumPy, Matplotlib, Sklearn and Seaborn: http://
amzn.to/3uQfgrR by @RealBenjizo —————
#DataScience #DataScientist -

Intelligent Remote Sensing Agents Transform Earth Observation with AI
By
–
What if Earth observation could truly think for itself? A collaborative team from Hong Kong University of Science and Technology, Northwestern Polytechnical University, Tsinghua University, and international partners have released a seminal survey on "Intelligent Remote Sensing Agents." This new paradigm shows how AI agents integrate perception, planning, memory, and tool execution to autonomously achieve complex geospatial understanding. This transforms remote sensing from passive data collection into proactive, intelligent decision support, far surpassing previous capabilities in urban governance, precision agriculture, ecological monitoring, and emergency response. Intelligent Remote Sensing Agents: A Survey Paper: github.com/PolyX-Research/Aw… Repo: github.com/PolyX-Research/Aw… Our report: mp.weixin.qq.com/s/QYAyTjaAa… 📬 #PapersAccepted by Jiqizhixin
→ View original post on X — @jiqizhixin, 2026-04-04 01:40 UTC
-
Essential AI Economy Skill: Training Your AI Models
By
–
The most important skill in the AI economy is knowing how to train your AI.
→ View original post on X — @pmddomingos, 2026-04-04 00:08 UTC
-

7 Essential Python Itertools for Feature Engineering
By
–
7 Essential Python Itertools for Feature Engineering https://machinelearningmastery.com/7-essential-python-itertools-for-feature-engineering/?utm_source=dlvr.it&utm_medium=twitter [Translated from EN to English]
→ View original post on X — @craigbrownphd, 2026-04-04 00:02 UTC