Topics for Future Blogs

[senthilkumarm1901]

• [x] How to leverage SpaCy rules NER better
• [x] How to train a NER model using Spacy CLI commands
• [x] An Intermediary Level Introduction to PyTorch
  • Resource 1: MSFT PyTorch Course
  • Resource 2: Statquest Intro to PyTorch
  • Resource 3: Official Intro to Pytorch | link
  • Resource 4: Learning Pytorch Series| link
• [x] A PyTorch Text classification Tutorial for NLP prepared after reading
  • [x] PyTorch official NLP
  • [x] MSFT official NLP
• [ ] PyTorch RNN based Seq2Seg Translation Model | link
• [ ] PyTorch nn.Transformers tutorial for DateTranslation dataset | inspiration link
• [ ] Two part blog on learnings from Probability/Statistics Foundations ( can I try ThinkStats book too for suitable content to practice? link
• [x] The Theory of Word2Vec
• [ ] Regex Search vs Fuzzy Search (link) vs Semantic Search
• [ ] Git : From Basic to Advanced
• [ ] What I learnt from the Huggingface Transformer Course? | book link
• [x] The Top Linux Shell commands that can come in handy for data science!
• [ ] Matplotlib vs Altair tutorial using KaggleLearn Viz course material
• [ ] How to set up your Home/Personal laptop for Data Science learning/ experimentation
  • Setting up - I.WSL, II.Python, III.Poetry, IV. Git, V.Docker, VI.Minikube (which is used as a proxy for Docker Desktop)
• [ ] A series of blogs on ML for Structured Data with Sklearn | Inspired by Kaggle Learn Series

[senthilkumarm1901]

LinkedIn/ Medium Blog

• [ ] Communication Tips (Inspiration for topics from Shade Zahari)
• [ ] Motivation/ Concentration Tips (Inspiration for topics from Shade Zahari)
• [ ] Sometimes, your detractors teach you more than your supporters. But you seldom love their presence (E.g.: GS from LV, MR, SK from F)
• [ ] What constitutes a good ML Engineering team?
• [ ] Should everyone of us manage/appraise someone else as we raise the ladder? Can't we not productively contribute in an individual fashion?

[senthilkumarm1901]

• [ ] Goal: When I reach around 25 blogs (or by the end of 2022),
  • write a summary blog in (medium) highlighting the range of topics you have written about (NLP theory, NLP Coding, Non-NLP, General Data Science Theory, Coding, etc.,).
  • Add that as an effort and hyperlink in the projects section in your resume.

[senthilkumarm1901]

Huggingface Transformers Course Blog Series:

• [ ] Part1 - Revisiting the Theory of Transformers
  • Read Chapter 1 and the book and prepare snapshot materials with notes from open source content
• [ ] Part2 - A Code-focused Learning of the Fundamentals of HuggingFace Transformers
  • Read Chapters 2 and 3
• [ ] Part3 - Understanding Fundamentals of Overall HuggingFace Ecosystem of Libraries
  • Tokenizers and Datasets libraries
    • Read Chapters 4, 5 and 6
• [ ] Multipart Series on Transformers for different tasks [chapter 7]
  • Sentence & Word Classification Tasks
  • Seq2Seq tasks - Language Models, Translation, QA, and Summarisation

[senthilkumarm1901]

AWS Serverless Learnings

• [ ] How to leverage S3, Lambda, StepFunctions, Docker, aws CLI and boto3 to build any production-grade Serverless ML pipeline?
  • The AWS CLI and boto3 set up should take care of the upload and download portions
  • helpful links: link1 | link2 | link3
• [ ] How to leverage StepFunctions workflow to trigger a ML Pipeline
• [ ] How to build a ML Application using Minikube, Docker and FastAPI locally and then run almost the same codes and yaml files in a more powerful environment in AWS Cloud?

[senthilkumarm1901]

Digging deeper into the potential blog topic: The Top Linux Shell commands that can come in handy for data science

[senthilkumarm1901]

Blog Series on AWS Serverless Services Blog1 : The different ways of creating AWS lambda functions python:

• Standard Python and Zip type lambda (article 1)
• Layer type lambda (article 2)
• Image type lambda (article 3)
• Lambda with an endpoint that can be used inside FAST API (article 4)

Blog2: Create a StepFunctions Pipeline (article 5)

Blog3: Workshop studio to use AWS Fargate well

Blog4: How to use AWS Glue

Blog5: Key Learnings from AWS Containers Immersion Day

[senthilkumarm1901]

AWS Recipes Series:

• [ ] How to pass config information to AWS Services like Glue or Lambda?
• [ ] How to create a simple lambda function using AWS CLI?
• [ ] How to package python modules in AWS Lambda functions? (zip, layer and image)
• [ ] How to maintain multiple environments of Lambda Functions?
• [ ] How to create a simple Step Functions Pipeline?
• [ ] How to set up Fargate cluster and launch a Fargate task through a lambda trigger?