What is Making Friends with Machine Learning?

The Legend of MFML continues.

MAKING FRIENDS WITH MACHINE LEARNING

Making Friends with Machine Learning was a legendary internal-only Google course specially created to inspire beginners and amuse experts. Chief Decision Scientist at Google, Cassie Kozyrkov, is its creator.

So the course is designed to give you the tools you need for effective participation in machine learning for solving business problems and for being a good citizen in an increasingly AI-fueled world.

MFML is perfect for all humans; it focuses on conceptual understanding (rather than the mathematical and programming details) and guides you through the ideas that form the basis of successful approaches to machine learning. It has something for everyone! And I highly recommend it:

The techniques and tools covered in Making Friends with Machine Learning are most similar to the requirements found in Data Scientist job advertisements.

All these years later, I think this info can be very useful now open-source. What do I mean by open-source, well some of it can be found on YouTube.

It’s also maybe an interesting introduction if you are thinking of getting into Datascience yourself.

After completing this course, you will:

• Gain an intuitive and correct understanding of core machine learning concepts.

• Understand the flavor of several popular machine learning methods.

• Avoid common errors in machine learning.

• Know how machine learning can help your endeavors.

• Gain insight into the steps involved in leading machine learning projects from conception to launch and beyond.

• Improve your ability to communicate with ML experts and non-experts alike.

You can see the YouTube courses below.

Cassie was a LinkedIn Top Voice in 2019 and 2020 in her field. Google’s chief decision scientist, Cassie Kozyrkov, joins the amazing #Rev3 conference lineup (May 5th-6th in NYC), which already includes a Nobel Prize winner and data science & IT leaders from successful companies the world over. Follow Cassie on Twitter here.

“The MFML class was phenomenal. It laid the foundation for understanding best practices and boosted my confidence in attempting to apply ML.” — Product technology manager

You can find the first 5 hours of the course on YouTube here:

• bit.ly/mfml_part1

• bit.ly/mfml_part2

• bit.ly/mfml_part3

MFML Is Optimized for Humans

The course is designed to give everyone — no matter your role — the tools you need for effective participation in machine learning for solving business problems and for being a good citizen in an increasingly AI-fueled world.

It’s pretty good what Google built for us to understand machine learning more easily.

Cassie went on to say that “MFML is perfect for humans of all stripes; it focuses on conceptual understanding” (rather than the mathematical and programming details) and guides you through the ideas that form the basis of successful approaches to machine learning. It has something for everyone!

I hope you guys enjoy it, and let me know if you do:

The full 6.5h hour course has 4 parts:

• Part 1 — Introduction to ML (available now)

• Part 2 — Life of a Machine Learning Project (available now)

• Part 3 — AI from Prototype and Production (available now)

• Part 4— Opening the Black Box (coming soon)

About Rev3

If you are in the NYC area this Spring, you can see the agenda of Rev 3 here to see if it appeals to you. It’s incredible to see MLops Conferences coming back online.

I’ve never been to Rev3 myself but this is what it’s all about in 2022.

Awesome sessions to inspire and accelerate your data science career

This year, Rev focuses on how enterprises can unleash breakthrough innovations through easier access to infrastructure, better collaboration across teams, and faster model learning and iteration.

So it’s good for datascience people in a corporate setting. Anyways so the agenda is split into three tracks:

• Data Science Management: Best practices to manage and scale data science teams, processes, and culture.

• The Future of Model-Driven Businesses: Discussing the impact of being model driven in your organization.

• MLOps Applied: Tips, tricks, helpful hints, and best practices to accelerate your day to day data science work.

I discovered this event’s existence when I happend to notice Cassie was a featured speaker through this company’s posts.

Cassie says she’s a data scientist and leader at Google with a mission to democratize Decision Intelligence and safe, reliable AI. I bring a unique combination of deep technical expertise, world-class public-speaking skills, analytics management experience, and ability to lead organizational change.

She’s provided guidance on more than 100 projects and designed Google's analytics program, personally training over 20,000 Googlers in statistics, decision-making, and machine learning. I love seeing and profiling women (and other minorities) in Datascience, Machine Learning and A.I. This is because I believe in inclusion in STEM and especially engineering.

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