Insights
Analytics

Harness the power of data with analytics insights. Learn how to interpret metrics, track user behavior, and make informed decisions to drive business growth.

Past Edition

Dive back into Analytics Edition #299 for Monday, February 27, 2023's essential reads and reflections

Read

  1. Updated Outlook of the AI Software Development Career Landscape
  2. KDnuggets Top Posts for January 2023: The ChatGPT Cheat Sheet
  3. Here’s why your efforts to extract value from data are going nowhere
  4. Role of Questions versus Decisions in Creating Value
  5. Level AI Introduces the Future of Customer Service With Generative AI Solution, AgentGPT
  6. How to Create an Effective Self-Study Routine to Teach Yourself Data Science Successfully
  7. GPT is an unreliable information store
  8. The Ultimate Python and Tensorflow Set-Up Guide for Apple Silicon Macs (M1 & M2)
  9. 3 ways to gain experience in data science even in a non-data science job
  10. Data Preprocessing for Machine Translation
  11. Understanding the Denoising Diffusion Probabilistic Model, the Socratic Way
  12. How to Develop a Data Analytics Web App in 3 Steps
  13. Load Testing SageMaker Multi-Model Endpoints
  14. Data Science in Small and Big Companies
  15. The Chaos Data Engineering Manifesto
  16. So How Fair Is Your AI, Exactly?
  17. 4 Ideas for Physics-Informed Neural Networks that failed
  18. Case Study: Practical Label Encoding with Rainbow Method
  19. Understanding Convolutional Neural Networks (CNNs)
  20. Movie recommendations with Neo4j
  21. How to Display Data From GeoJSON Files Using the Folium Python Library
  22. Optimizing AI/ML workloads for sustainability
  23. Parsing Irregular Spreadsheet Tables in Humanitarian Datasets (with Some Help from GPT-3)
  24. AI Drives Shopping Carts
  25. Running SQL Queries in Jupyter Notebook using JupySQL, DuckDB, and MySQL
  26. Track Heart and Lung Health With A Smart Watch: VO₂ Max Case Study
  27. Explainable AI with TCAV from Google AI
  28. 5 SQL Visualization Tools for Data Engineers
  29. Write DRY data models with partials and Pydantic
  30. Without Further Ado: Automate Dev Environments and Build
  31. Classification in Machine Learning: An Introduction
  32. How to use AI: Everything you need to know
  33. Research Highlights: A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT
  34. Plotting Venn Diagrams in Python
  35. Make Quantum Leaps in Your Data Science Journey
  36. Decisions made better: Comparing the role of AI and AU
  37. How Can Blockchain Security and Trustworthiness be Evaluated?
  38. Greatest unexpected NBA performance
  39. Using OpenAI and Python to Enhance Your Resume: A Step-by-Step Guide
  40. Neural Network from scratch (no numpy) Part I
  41. How to Deploy and Interpret AlphaFold2 with Minimal Compute
  42. Create a Python Package with Super- Fast Rust Code in 3 Steps
  43. Data Science for Raman spectroscopy
  44. Service Looking to hire a Fractional Website Manager? Book a call today to explore how we can elevate your website's success!
    alinmat.com
  45. Product Upload your images or PDFs and extract text seamlessly
    3DOCR

Watch

  1. Analytics Tableau User Group - February 23, 2023
  2. Bellingham Tableau User Group - February 15, 2023
  3. Florida Tableau User Group - February 22, 2023
  4. Latino/a/x Tableau User Group - February 23, 2023
  5. Milwaukee Tableau User Group - February 23, 2023
  6. San Diego Tableau User Group - February 2023
  7. Tampa Bay Tableau User Group - February 2023
  8. Veterans Tableau User Group - February 2023
  9. Washington DC Tableau User Group - February 22, 2023
  10. Coders Initiative Tableau User Group - April 27, 2022

Listen

  1. What Can Generative AI Do for Data People? (W/ Sarah Nagy + Chris Aberger)