Open in app

Sign In

Write

Sign In

Paul Iusztin
Paul Iusztin

264 Followers

Home

About

Pinned

✒️ Why Am I Writing?

My mission for writing Medium articles. — 🚀 My mission for writing Medium articles is to share and document my learning journey about machine learning engineering and MLOps. My dream is to master the craft of building, training, deploying, and monitoring large machine learning systems. …

About Me

1 min read

✒️ Why Am I Writing?
✒️ Why Am I Writing?
About Me

1 min read


Pinned

🤖 Hi, I am Paul

Yet Not Another LinkedIn “About Me.” A short introduction of myself. — Hi, I am Paul Iusztin, a 26 years old ML engineer working as a tech lead @ CoreAI. I recently experienced the sweet taste of freedom by becoming a freelancer/contractor. Yes, you can be freelancing by having a constant client; this is one way to maximize your gains. My main…

About Me

2 min read

About Me
About Me
About Me

2 min read


Published in Towards AI

·Jan 10

10 Underrated Software Patterns Every ML Engineer Should Know

How to apply software engineering good practices when developing machine learning systems — As an ML engineer, you are still a software engineer specializing in building AI/ML systems. Therefore, you still have to write clean, maintainable, and scalable software. I want to take a software engineering approach in this article when looking at ML applications. What do software engineers love most?…

Software Patterns

10 min read

10 Underrated Software Patterns Every ML Engineer Should Know
10 Underrated Software Patterns Every ML Engineer Should Know
Software Patterns

10 min read


Published in Towards AI

·Dec 28, 2022

Mastering the Top 10 Statistical Concepts: The Key to Success in Data Science

Unlock the full potential of your data with a deep understanding of these fundamental statistical concepts — As a data scientist, it is essential to have a strong foundation in statistical concepts and methods. These concepts and methods provide the tools and techniques necessary for analyzing and interpreting data, making informed decisions, and communicating results effectively. In this blog, we will explore the top 10 most interesting…

Statistics

4 min read

Mastering the Top 10 Statistical Concepts: The Key to Success in Data Science
Mastering the Top 10 Statistical Concepts: The Key to Success in Data Science
Statistics

4 min read


Published in Towards Data Science

·Dec 19, 2022

Master Data Integrity to Clean Your Computer Vision Datasets

Handle Data Leakage. Reduce Labeling Costs. Decrease Computation Time and Expenses. — Data integrity is one of the biggest concerns for companies and engineers in the latest period. The amount of data we have to process and understand only gets more significant, and manually looking at millions of samples is not sustainable. …

Tutorial

10 min read

Master Data Integrity to Clean Your Computer Vision Datasets
Master Data Integrity to Clean Your Computer Vision Datasets
Tutorial

10 min read


Nov 9, 2022

This Is How You Can Live Up to 120-Years Old

Explaining Lifespan by David Sinclair to a 7-years old. — The purpose of this article is to document my key takeaways from [1] Lifespan by David Sinclair. The book completely changed my perspective on aging and life in general. I don’t usually write about this topic, but it contains valuable information that everybody should know. Disclaimer: I am not a…

Wellbeing

9 min read

This Is How You Can Live Up to 120-Years Old
This Is How You Can Live Up to 120-Years Old
Wellbeing

9 min read


Published in Towards Data Science

·Nov 2, 2022

How to Quickly Design Advanced Sklearn Pipelines

Compose all the components from Scikit-Learn Pipelines to build custom production-ready models — This tutorial will teach you how and when to use all the advanced tools from the Sklearn Pipelines ecosystem to build custom, scalable, and modular machine learning models that can easily be deployed in production. In isolation, there is much content about different components from the Sklearn Pipelines toolbox. I…

Tutorial

10 min read

How to Quickly Design Advanced Sklearn Pipelines
How to Quickly Design Advanced Sklearn Pipelines
Tutorial

10 min read


Published in Towards AI

·Sep 20, 2022

This Is How You Can Build a Churn Prediction Model Using Apache Spark

An end-to-end tutorial on how to build a churn prediction pipeline using only Apache Spark. — This article is a tutorial on how to build a churn prediction classifier using the ML stack from Spark. We will use data from a fictive company called Sparkify, a music streaming company. The dataset contains all kinds of events created by the users who interacted with the platform. We…

Machine Learning

11 min read

This Is How You Can Build a Churn Prediction Model Using Apache Spark
This Is How You Can Build a Churn Prediction Model Using Apache Spark
Machine Learning

11 min read


Published in Towards AI

·Sep 15, 2022

This Is How You Can Explain SVD to a 7-Year-Old

Understand the intuition behind the Singular Value Decomposition (SVD) algorithm. — I am writing this article because, at first, I struggled to understand the mathematical intuition behind the SVD algorithm. But if you throw away all the fancy math terms, the idea behind the algorithm is easy to understand. After reading this article, you will get an intuition about why and…

Artificial Intelligence

6 min read

This Is How You Can Explain SVD to a 7-Year-Old
This Is How You Can Explain SVD to a 7-Year-Old
Artificial Intelligence

6 min read


Published in MLearning.ai

·Aug 11, 2022

This Is What You Need to Know to Build an MLOps End-To-End Architecture

7 principles to quickly bring MLOps to your machine learning projects. MLOps is a new field that was born due to the high failure rate of most machine learning projects. By failure, we understand the inability to generalize your freshly cooked model and ship it into a production environment to…

Machine Learning

7 min read

This Is What You Need to Know to Build an MLOps End-To-End Architecture
This Is What You Need to Know to Build an MLOps End-To-End Architecture
Machine Learning

7 min read

Paul Iusztin

Paul Iusztin

264 Followers

🤖 Lead Machine Learning Engineer @ CoreAI | Writing about productionizing ML systems. | Let's connect: https://www.linkedin.com/in/pauliusztin/

Following
  • CodeCircuit

    CodeCircuit

  • Ajay Kapoor

    Ajay Kapoor

  • Niharikaa Kaur Sodhi

    Niharikaa Kaur Sodhi

  • Jim Clyde Monge

    Jim Clyde Monge

  • Anmol Tomar

    Anmol Tomar

See all (216)

Help

Status

Writers

Blog

Careers

Privacy

Terms

About

Text to speech