Hey, what's up folks,
Welcome to Machine Learning Ops beginner series.
Machine learning is one of the hottest fields in IT right now. This is a trend that will accelerate over the next couple of decades. There has never been a better time to get into machine learning than right now.
In this course, we will explore the basics of machine learning operations. If you've ever wondered what it would be like to work in machine learning operations, then this is the course for you.
Step into the shoes of an MLOps engineer and work through a real-world scenario where you will learn how to build a machine learning pipeline. We'll also explore data ingestion and wrangling, algorithm application, scoring, data evaluation, and how to publish a pipeline.
- Introduction to Machine Learning Operations
- Build a ML Pipeline
- Data ingestion
- Data Wrangling
- Algorithm application
- Data Evaluation
- Publish a Pipeline
Now I know that machine learning can be a complicated topic and trying to get even a basic understanding can be difficult without getting bogged down in complicated algorithms and lines of code.
Fortunately for you, I designed this blog series to teach you the basics of machine learning operations without statistics, algorithms, or lines of code, to give you a chance to freely explore machine learning operations, and gain an understanding of how it all works.
I'm super excited to start this journey with you and look forward to get started learning all the things.
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