Mike Purewal
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Writing

book-review  career-advice  cheatsheet  cloud  deployment  engineering  graphing  llms  machine-learning  modeling  nlp  scraping  sports  statistics  strategy  talks  teardown 
  • Increasing Fine-tuning Efficiency

    Assessing the impact of difference parameters on fine-tuning performance

    Oct 1, 2023 llms 

  • Fine-tuning BERT with LORA and WandB

    Recap of my adventure in fine-tuning with LORA and WandB

    Sep 24, 2023 llms 

  • Improving Retrieval w Finetuned Embeddings (Manually!)

    Improving Retrieval with Finetuned Embeddings - Manual Approach

    Sep 17, 2023 llms 

  • Improving Retrieval w Finetuned Embeddings

    Improving Retrieval w Finetuned Embeddings

    Sep 10, 2023 llms 

  • Multi-Head Attention

    Implementing multi-head attention

    Sep 9, 2023 llms 

  • RAG on 10K: Part 2

    A prototype for RAG on 10K

    Sep 7, 2023 llms 

  • RAG on 10K: Part 1

    A prototype for RAG on 10K

    Sep 5, 2023 llms 

  • Quantization

    Quantization in practice

    Sep 1, 2023 llms 

  • Single-Label Entropy Loss in Torch

    So many choices...

    Aug 5, 2023 machine-learning 

  • Logits and Sigmoid

    Explaining the relationship

    Aug 4, 2023 machine-learning 

  • LLM Use Case: Mining 10Ks

    Not as simple as it might seem

    Jul 9, 2023 engineering  machine-learning  llms 

  • Deep Learning: CPU v M1 v GPU

    Experiment: Measuring relative processing speeds

    Jul 8, 2023 engineering  machine-learning 

  • LLMs Part 3: Other Considerations for Practical Usage

    Recent AI Developments & the Impact on Financial Markets Businesses

    May 26, 2023 engineering  machine-learning  strategy  teardown  llms 

  • LLMs Part 2: Financial Markets Use Cases

    Recent AI Developments & the Impact on Financial Markets Businesses

    May 26, 2023 engineering  machine-learning  strategy  teardown  llms 

  • LLMs Part 1: The Context for Recent AI Developments

    Recent AI Developments & the Impact on Financial Markets Businesses

    May 26, 2023 engineering  machine-learning  strategy  teardown  llms 

  • My Jekyll Cheatsheet

    Does anyone write blogs anymore?

    Jan 22, 2023 engineering  cheatsheet 

  • My GitHub Cheatsheet

    GitHub notes for a simpleton

    Jan 14, 2023 engineering  cheatsheet 

  • Simple Steps to Create a Website on the Cheap

    Three hours and $20 to your first webiste

    Jan 6, 2023 cloud  engineering 

  • Entity Resolution

    Description of the entity resolution methodology

    Jan 13, 2022 deployment  engineering  cloud 

  • Pun Generator

    Description of the pun generator app methodology

    Jan 4, 2022 deployment  engineering  cloud 

  • Serverless Experiments

    Using AWS to run a serverless architecture

    Jan 3, 2022 deployment  engineering  cloud 

  • Variance Reduction in A/B Testing

    Demonstration of the impact of variance reduction

    Jan 2, 2022 teardown  engineering 

  • My NYU Course Materials

    Links to materials from my NYU class: Machine Learning in Finance.

    Dec 15, 2021 teardown  machine-learning 

  • Data Science Books and Courses

    A list of references for data science

    Dec 15, 2021 teardown  machine-learning 

  • AI Product Adoption and MLOps

    MLOps is instrumental in AI product adoption.

    Sep 15, 2021 teardown  talks 

  • Entity Resolution Primer

    Primer to explain Entity Resolution.

    Sep 12, 2021 teardown 

  • FinTech Primer

    Primer to explain FinTech.

    Sep 9, 2021 teardown 

  • Deploying An ML Model on GCP

    Tutorial on Google Cloud Platform

    Aug 30, 2021 deployment  engineering  teardown 

  • Deploying An ML Model on GCP: Part 3

    Tutorial on Google Cloud Platform: Part 3

    Aug 30, 2021 deployment  engineering  teardown 

  • Deploying An ML Model on GCP: Part 2

    Tutorial on Google Cloud Platform: Part 2

    Aug 30, 2021 deployment  engineering  teardown 

  • Deploying An ML Model on GCP: Part 1

    Tutorial on Google Cloud Platform: Part 1

    Aug 30, 2021 deployment  engineering  teardown 

  • Downsampling: A Deeper Dive

    A deeper dive on downsampling.

    Aug 13, 2021 machine-learning  statistics 

  • No, The Other One

    xkcd 2480

    Jun 30, 2021 graphing  modeling 

  • US Maps in Python

    Making maps in Python.

    Jun 29, 2021 graphing 

  • Decision Types

    Bezos knows best.

    Jun 25, 2021 career-advice  strategy 

  • Downsampling

    Probability adjustment after downsampling in ML models

    Jun 10, 2021 machine-learning  statistics 

  • Who's In First (Place)?

    Ah, being a Mets fan...

    Jun 9, 2021 sports  scraping 

  • Book Review: Atomic Habits by James Clear

    Book review of Atomic Habits by James Clear

    Jun 1, 2021 book-review 

  • Book Review: Range by David Epstein

    Book review of Range by David Epstein

    May 15, 2021 book-review 

  • Packaging An Application

    Using setuptools in Python.

    Apr 21, 2021 deployment  engineering 

  • Geothmetic Median

    Python code to calculate Geothmetic Meandian

    Mar 21, 2021 modeling 

  • Simulating Vaccine Waiting Times

    A model to estimate how many vaccine shots can be administered.

    Mar 3, 2021 modeling  statistics 

  • Data Science in Times of Crisis

    Crisis managers ask for data in decreasing order of complexity.

    Feb 12, 2021 career-advice  strategy 

  • The Dark Side of Resilience

    How resilience can be a bad thing.

    Jan 26, 2021 career-advice  strategy 

  • Knowledge and XKCD in Jupyter

    xkcd: greatest comic of all time

    Jan 26, 2021 career-advice  graphing 

  • Decisions and Quitting

    If you are struggling in deciding between two choices.

    Jan 17, 2021 career-advice  strategy 

  • Scraping and Home Heating Oil

    Scraping your home heating oil data and building a mini model

    Jan 11, 2021 scraping  modeling  statistics 

  • Book Review: Adventures of an IT Leader

    Book review of Adventures of an IT Leader by Robert Austin

    Jan 1, 2021 book-review 

  • Book Review: The Inner Game of Tennis by Timothy Gallwey

    Book review of The Inner Game of Tennis by Timothy Gallwey

    Nov 1, 2020 book-review 

  • NoSQL

    Summary of an excellent book on NoSQL

    Jun 19, 2020 book-review  engineering 

  • Linear Regression of Clusters

    PyMC3 for more interesting linear regressions

    Apr 10, 2020 statistics  machine-learning 

  • Effects of Sampling

    Counterintuitive results from imbalanced data

    Jan 20, 2020 statistics  machine-learning 

  • The Idea Maze

    Oldie, but a goodie: The Idea Maze by Balaji Srinivasan. Think through your ideas!

    Dec 24, 2019 career-advice  strategy 

  • Improve your Win Rate

    How do you capitalize on your edge?

    Oct 26, 2019 sports  statistics 

  • Hierarchical Job Clusters

    NLP and jobs

    May 1, 2018 scraping  nlp  machine-learning 

  • Harness Your Fitbit Data

    Ownership of a Fitbit is highly correlated to obsessive compulsive behavior.

    Apr 11, 2018 modeling  sports  graphing 

  • Beer Nutrition

    Beer & data, what more can you ask for?

    Mar 20, 2018 modeling  statistics 

  • Child Care Business in NJ

    Graphing and maps.

    Mar 15, 2018 graphing 

  • Rush Hour at Penn Station

    Scraping Penn Station data to get an edge

    Mar 8, 2018 cloud  scraping  modeling  machine-learning 

  • Book Review: Peak by Anders Ericsson

    Book review of Peak by Anders Ericsson

    Jan 1, 2018 book-review 

  • High Output Management by Andrew Grove

    Book review of High Output Management by Andrew Grove

    Jan 1, 2018 book-review 

Mike Purewal

  • meninder.purewal@gmail.com
  • meninder-purewal
  • MeninderP
  • meninder

I build data driven products in Finance using Machine Learning.