kurianbenoy-aot/Learning

Learning

• learn something new everyday
• What I cannot create, I do not understand

Buisness Domain knowledge

• Redash

  • Getting started - https://redash.io/help/user-guide/getting-started
  • Setup - https://redash.io/help/open-source/setup
  • Other source - https://fitdevops.in/how-to-setup-redash-dashboard-on-ubuntu/
  • Watch Redash youtube videos
  • Create Redash titanic example
  • Create redash application
  • Redash MongoDB page
  • Read complete redash user guide
    • Querying
    • Visualisation
    • Dashboard
    • Alerts
    • User, groups and permissions
    • Data sources and querying

• Mongo DB basics

  • Crash course with mongodb
  • Mongo DB introduction
  • Structure your data for MongoDB
  • Mongodb aggregation
  • Mongo db documents, datasets

• SQL
  • https://www.analyticsvidhya.com/blog/2020/07/8-sql-techniques-data-analysis-analytics-data-science/
  • Intro to Kaggle SQL course
    • Getting started
    • Select, from , where
    • Groupby, Having, count
    • order by
    • as and with
    • joining data
  • Advanced Kaggle SQL course
    • Join and unions
    • Analytic functions
    • Nested and repeated data
    • Write efficient queries

Software Engineering

• Docker

  • how-docker-can-help-you-become-a-more-effective-data-scientist
  • Docker in action notes
  • docker container deletion

  Removes every image/volume/conatiners ---> docker system prune -a, system prune volume

  and to remove only one ---> docker rm ID_or_Name ID_or_Name```

  sudo docker-compose down --rmi all

  • Docker-compose 101
  • Docker networks

• Generators

Research Papers

• GPT-2 Language models are unsupervised learners
• GPT 3- Language models are few shot learners
• Seq2SQL paper
• Bert based Sentiment analysis & key-entity recognition
• Extracting sentiment attitudes from Analytical Text

Online Course

• CS 229 ML course - Andrew NG https://www.youtube.com/watch?v=jGwO_UgTS7I&list=PLoROMvodv4rMiGQp3WXShtMGgzqpfVfbU

  • Lesson 14: Expectation maximisation theoreum  ```
  • 15: EM Algorithm and factor analysis
  • 16: Independent Component Analysis
  • 17. MDPs and Value Policy iteration
  • 18. Continuos State MDP and model simulation
  • 19. Reward model and linear dynamic system
  • 20. RL Debugging and diagnostics

• Full Stack Deep learning course

  • Setting up ML Projects
    • Overview
    • Lifecycle
    • Prioritizing
    • Archetypes
    • Metrics
    • Baselines

• FastAI(Practical course for beginners) - 2020

Books

• Approaching almost any machine learning problems

  • Approaching Categorical variables

  • Feature Engineering

  • Feature selection

  • Approaching almost any CV problem

  • Approaching almost any NLP problem

  • Approaching ensembling and stacking

  • Approaching reproducible code & model serving

  • Hyperparameter optimization

  • Arranging ML projects

  Talks

  • To grandmaster validation strategy & journey
  • Talks # 10: Tanishq Abraham; What are CycleGANs? (a novel deep learning tool in pathology)
  • Becoming hireable as a datascientist 2022 - Ajinkya Kohli
  • SPACY'S ENTITY RECOGNITION MODEL: incremental parsing with Bloom embeddings & residual CNNs
  • Art for Tensorflow by Margaret