Santiago – Machine Learning School

Santiago – Machine Learning School

Learn how to design, build, deploy, and scale machine learning systems to solve real-world problems.

I’ll lose my mind if I see another book or course teaching people the same basic ideas for the hundredth time. Most people are stuck in beginner mode, and finding help to solve real-world problems is hard.

I want to change that.

I started writing software 30 years ago. I’ve written pipelines and trained models for some of the largest companies in the world. I want to show you how to do the same.

This is the class I wish I had taken when I started.

This program will help you unlearn what you think machine learning is. It’s a practical, hands-on class where you’ll learn from years of experience and real-world examples.

When you join, you get lifetime access to the following:

• 18 hours of live, interactive sessions. We’ll use this time to discuss the first principles behind building machine learning systems.
• 10 hours of step-by-step coding instructions. These practical sessions will show you how to build an end-to-end system from scratch.
• A final project where you’ll build a complete solution and receive direct feedback on your work.
• 100 coding assignments and practice questions.
• The entire source code of a working production system. It’s yours. You can change and use it as you see fit.
• A private community where you’ll collaborate with thousands of people from different backgrounds.
• Direct access to your instructor.
• Lifetime access to every past and future cohort.
• Program certificate upon completion.

And the best part is that you only pay once to join. There are no monthly fees. No annual fees. No hidden costs. You pay once to join and benefit forever until the end of time.

The program won’t be easy. It’ll take time and effort. But if you want to use machine learning to solve real-world problems, this is the class you don’t want to miss.

Who Is This Program For?

This is a practical, hands-on program for technical professionals who are ready to put in the work.

This program is for software engineers, data scientists, data analysts, machine learning engineers, technical managers, and anyone anyone who wants to use machine learning to solve real-world problems.

Here are the criteria to succeed in the program:

• You have experience writing code. We’ll use Python throughout the class, but you won’t have any problems if you know any other language.
• You are familiar with basic machine learning terminology. This is not an introductory class. We’ll move quickly over the basics to focus on the fundamental ideas that make systems work.
• You are ready to put in the work to succeed.

What Will You Learn?

You’ll come out with practical skills and insights into what it takes to build systems that work in the real world.

Here is a summary of what makes this program unique:

• You’ll design and write the code to build an end-to-end machine learning system starting from scratch.
• You’ll learn best practices to tackle the most significant challenges machine learning engineers face to build, evaluate, run, monitor, and maintain machine learning systems in real-world scenarios.
• You’ll learn how to use techniques like active learning, distributed training, adversarial validation, human-in-the-loop deployments, model compression, test-time augmentation, testing in production, among many others.
• You’ll learn how to create training, deploying, monitoring, and inference pipelines using Amazon SageMaker and open-source tools.

Forget about theoretical concepts. This program will show you some of the things I’ve learned from real-life examples I’ve built during more than 30 years in the industry.

Sale page: https://svpino.gumroad.com/l/mlp
Archive: https://archive.ph/wip/cNBiY