The Curious Engineer

All blogs / AI / ML

About me

mihaileric.com

Engineer, researcher, educator.

AI / ML

’17’18’19’20’21’22’23’24’25’26
Posts
53 from 3 Jul 2017 to 11 Jun 2026
Posting
now and then (3 in the last year)
Kind
personal blog

2026 3

  1. Every B2B SaaS Will Be a Coding Agent Company
  2. Claude Code Demystified: Whirring, Skidaddling, Flibbertigibetting
  3. The Emperor Has No Clothes: How to Code Claude Code in 200 Lines of Code

2024 3

  1. I Built an AI Hitch
  2. How Alexa Dropped the Ball on Being the Top Conversational System on the Planet
  3. A Software Engineer Does 100 Standup Comedy Open Mics

2022 4

  1. A Complete Introduction to Prompt Engineering For Large Language Models
  2. Honey, I Sold My First Bootstrapped SaaS Company
  3. How to Finetune GPT3
  4. MLOps Is a Mess But That's to be Expected

2021 8

  1. Overview of the United States Financial Regulatory Ecosystem
  2. What is the Data Science Life Cycle?
  3. A Complete Machine Learning Project From Scratch: Model Deployment and Continuous Integration
  4. A Complete Machine Learning Project From Scratch: Error Analysis And Model V2
  5. A Complete Machine Learning Project From Scratch: Model V1
  6. A Complete Machine Learning Project From Scratch: Exploratory Data Analysis
  7. A Complete Machine Learning Project From Scratch: Setting Up
  8. We Don't Need Data Scientists, We Need Data Engineers

2020 2

  1. Deploying a State-of-the-Art Question Answering System With 60 Lines of Python Using HuggingFace and Streamlit
  2. A Complete 4-Year Course Plan for an Artificial Intelligence Undergraduate Degree

2019 23

  1. Trends in Machine Learning: NeurIPS 2019 In Review
  2. The Birth of Venus: Building a Deep Learning Computer From Scratch
  3. A Comprehensive Introduction to Machine Learning Fundamentals
  4. Decision Trees
  5. Market Basket Analysis
  6. Your Closest Neighbors
  7. Join the Ensemble
  8. Why Did You Choose This Model?
  9. Model Evaluation
  10. Controlling Your Model's Bias
  11. What Features Do You Want?
  12. Principal Components Analysis
  13. Model Regularization
  14. Trends in Natural Language Processing: ACL 2019 In Review
  15. What K-Means
  16. Neural Network Grab Bag
  17. Dance Dance Convolution
  18. Recurrent Neural Networks
  19. Deep Dive Into Neural Networks
  20. Basics of Support Vector Machines
  21. Naive Bayes Classifier Tutorial
  22. Logistic Regression in Machine Learning Tutorial
  23. Fundamentals of Linear Regression

2018 7

  1. Transformers: Attention in Disguise
  2. Deep Contextualized Word Representations with ELMo
  3. Object Detection with R-CNN
  4. Fast Object Detection with Fast R-CNN
  5. Why All The Excitement About Artificial Intelligence
  6. Fundamental Deep Learning Algorithms To Learn
  7. Being a Good Machine Learning Engineer/Data Scientist

2017 3

  1. A Software Interview Challenge
  2. Review of SIGDial/SemDial 2017
  3. A New Multi-Turn, Multi-Domain, Task-Oriented Dialogue Dataset