sluofoss

Recent Notes

  • Graph Analytics

    Aug 16, 2025

    • code2flow
  • Understanding repo

    Aug 16, 2025

    • code2flow
  • Tea

    Aug 03, 2025

        • property data information resources
        • Tea
          • Aus Stock Platform
          • AWS Account Management
          • AWS Networking
          • Cost estimation to run frequently scheduled job
          • Cloud Comparison
                • 1 discover da
                • 2 get started with pbi
                • 3 create interactive report with copilot
                • Index - 1 get started with da
                • 1. get data in power bi
                • 2. Clean, transform, and load data in Power BI
                • Index - 2 prepare data for analysis
                • 1. describe model
                • 2. choose a pbi model framework
                • 3. design semantic model
                • 4. add measure to model
                • 4. dax for model
                • 6. Add calculated tables and columns to pbi
                • 7. dax time intelligence
                • 8. optimizing model in pbi
                • 9. model security
                • Index - 3 Model data with pbi
                • 3. create visual calc in pbi
                • 4. config report filter
                • 5. Enhance Power BI report designs for the user experience
                • 6. Perform analytics in power bi
                • design pbi report
                • Index - 4 build pbi visuals and report
                • scope report design requirements
                • 1. Create and manage workspaces in Power BI
                • 2. manage semantic models in pbi
                • 3. create dashboards in power bi
                • 4. row level security
                • Index - 5 Manage workspaces and datasets in Power BI
                • 1. describe pbi model
                • 2. Write DAX formulas for Power BI Desktop models
                • 3. Add calculated tables and columns to Power BI Desktop models
                • 4. Add measures to Power BI Desktop models
                • 5. Use DAX iterator functions in Power BI Desktop models
                • 6. Modify DAX filter context in Power BI Desktop models
                • 7. Use DAX time intelligence functions in Power BI Desktop models
                • Index - X use DAX in PBI
              • Index - Microsoft Learn (pbi)
            • Confusing DAX Context Filter
            • DAX vs MDX
            • Publishing power bi report for free (kind of)
            • Rants About Power BI and How Superset Compares
            • Some Stuff With Power BI
          • BI & EDA Solutions
          • Dash
          • General Plot knowledge
          • Power BI PL300 cert prep
          • teradata table profiler draft
          • certifications
          • Cloud Storage in Data Engineering
          • Data Engineering Code Design Patterns
          • Data Processing Library Comparison
          • difference between kafka and flink
          • MLOps
          • Polars
          • Python Container Image Size Comparison
          • Graph Analytics
          • micro vs macro precision
          • reading list on explainable ai
          • Unsupervised Learning
          • AWS Lambda
          • CICD
          • Crossplane
          • DevOps
          • Terraform
          • A list of potential improvements from a recent projects at work
          • Code as Diagram - Flowchart
          • Diagrams as Code
          • docker capability at sandboxing malware
          • how to create mindmap as code
          • Infrastructure as diagram
          • Markdown Usage Notes
          • refactoring old personal budgeting code
          • Windows git uses wrong SSH after Github config instructions
          • Behavioural Interview Questions
          • question to ask
          • Router cant change DNS issue
          • Router shopping
          • What can ISP See or control
          • WSL ip pinging issues
            • Documenting package
            • Environment Manager
            • Making Packages
            • Publishing Packages Methods
            • Testing Packages
          • auto eda
          • auto experiment and output
          • correlation merit based feature selection
          • how to analyze duckdb query in jupyter notebook
          • jupyter
          • Python General Development Tools Index
          • sklearn
          • Sklearn Pipeline Notes
          • sklearn_ohe_pl_vs_pd
          • Personal Display Requirements
          • Personal File Storage
          • TODOS
          • travelling tools
          • vpn
          • api design
          • software engineering 101
          • typescript orm
          • Understanding repo
          • Markdown in webapps
            • enable TOC and File Explorer for quartz mobile
          • Combining Obsidian and Foam
          • Note Taking Reflections
          • VSCode
          • ZettelKasten Options
        • Holiday Destination Flight Recommendation and EDA
        • ideas
        • All Notes Index
        • Reading List
        • Trash Talking Microsoft
        • Welcome to Quartz
      Home

      ❯

      Reading List

      Reading List

      Sep 30, 20241 min read

      • k8s
      • tech learning
      • feature selection
      • random site found online

      tech learning

      • Terraform
        • Terraform : up and running : writing infrastructure as code Book by Yevgeniy Brikman
      • k8s
        • https://www.reddit.com/r/kubernetes/comments/1bzp3lg/want_to_learn_k8s_recommend_a_good_handson_book/
        • https://www.reddit.com/r/devops/comments/xeiokr/best_book_on_kubernetes/
        • Kubernetes in Action.
        • Production Kubernetes

      feature selection

      • https://machinelearningmastery.com/feature-selection-with-real-and-categorical-data/
      • http://www.feat.engineering/classes-of-feature-selection-methodologies
      • https://topepo.github.io/caret/feature-selection-using-simulated-annealing.html#simulated-annealing
      • https://vuquangnguyen2016.wordpress.com/wp-content/uploads/2018/03/applied-predictive-modeling-max-kuhn-kjell-johnson_1518.pdf
      • Graph analytics 101: reveal the story behind your data (cambridge-intelligence.com)

      random site found online

      • https://stacks.math.columbia.edu/tag/0C18
      • https://rationalwiki.org/wiki/List_of_secular_holidays
      • https://deepaksood619.github.io/devops/ides/obsidian/
        • another guy’s obsidian digital garden which this one will hopefully grow to in 5 years.

      Graph View

      • tech learning
      • feature selection
      • random site found online

      Backlinks

      • No backlinks found

      Created with Quartz v4.4.0 © 2025

      • GitHub