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Machine Artificial Intelligence Learning, or You've Got MAIL!

Level 12

Welcome to the last in this series of posts about machine learning, artificial intelligence, and so many other topical points of discussion. If this is your first time here, feel free to check out the previous articles:

Does Data Have Ethics? Data Ethics Issues and Machine Learning

Machine Learning and Destroying the Library of Alexandria

Why Businesses Don't Want Machine Learning or Artificial Intelligence

Can Tesla Cure the 10th Leading Cause of Death in the World With Autonomous Vehicles?

I know you might be asking yourself, how can I follow those gems up with something you'll be able to ingest, take in, and reflect on thoughtfully?

Let's take this opportunity to celebrate. (Thank goodness!) And in that celebration, I'm going to lay some machine artificial intelligence learning (MAIL) on you, so you can get started, play around, and whatever else you’d like.

One of the big problems of dealing with the amorphous concept of something like ML or AI is, it's so big, you don't even know where to start.


Image: CXI was on vacation recently in Bermuda

It's like trying to classify waves and clouds. If you start small, you can get somewhere, but imagine trying to understand everything in this image...

So instead of trying to figure out how to build something from scratch, start with the work others have already done, so you can play with things, understand things, and get started without all the brain damage.

Let's get started with emotion and sentiment analysis with DeepMoji. (Artificial Emotional Intelligence). It's an interesting project taking words and using AI to convert them into emotions and emojis. (Emojitions?)

Screen Shot 2019-06-26 at 6.04.14 PM.png


On the surface it may not seem too sophisticated, but it's a start and with the DeepMoji project up on GitHub, you can get started with understanding how it works today.

The next one, which lets you immediately see things “working,” is the Move Mirror AI Experiment.

Screen Shot 2019-06-26 at 6.09.23 PM.png

Image: AI Experiments: Move Mirror

This fun little project lets you use your own camera and movements to match your body movement to an image of the same movement. I've seen the principle of this used in drastic other ways (to make it look like someone is talking or moving lips when you talk, or other funny and equally scary tactics).

Is this project going to be a game-changer for you? Probably not. Is it a little fun? Definitely!

And that brings us to the next piece of this puzzle, which is the Experiments with Google page. This is quite cool because they have AI experiments, AR experiments, voice experiments, and so much more.

But after you're done playing around and interacting with these game-changing models, samples, and examples, you can start getting your hands dirty.

I'd immediately encourage you to look at the TensorFlow Hub (a collection of reusable machine learning modules). It's a great resource to learn, interact with, and ingest work others have done, so you don't have to start from scratch.

And after you’re ready to take things seriously and even start competing with others in making machine learning and AI even better, head over to Kaggle.

Screen Shot 2019-06-27 at 9.01.06 AM.png

You can also use Jupyter notebooks to get started on building, testing, and so much more.

And lastly, if you have some real business things you need to work on, and don't have the time, inclination, or interest in learning quite so much upfront, check out AutoML from Google. They take a lot of the effort out of it (for a small fee of course). [Interesting little fact, some people have competed in Kaggle competitions using AutoML and trained for as little as an hour and got the same or better results of some people that trained for a month or more.]

And this is just scratching the surface of some of the resources to dig into. A few other resources I would highly encourage investigating are:

  • YouTube! Yes, YouTube has some great ML/AI-ers who produce some amazing content, some of which is quite ridiculous.
  • Code Bullet
  • On Twitter, if you're not following these folks already, it's imperative for your MAIL future to do so.

@tkasasagi (Who I already mentioned in Machine Learning and Destroying the Library of Alexandria)

@dynamicwebpaige (Amazing, smart, rock star who works at Google AI with TensorFlow)

@fchollet (Creator of Keras, neural networks library, and author of Deep Learning with Python, not to mention a great resource and person)

@suzatweet (MLT Lead, Minds and Machine Learning, and some other awesome things.)

@_aiCarly (Technical powerhouse and working at an AI company.)

@cxi (Hey—that's me! I cannot publicly discuss my own ML/AI projects, but I talk about and share a lot of other people's work.)

The list could go on forever, but I have to play favorites, mainly because these people contribute to the community, produce, and help others benefit and learn. Just as this community allows us to grow stronger and better together.

I hope you’ve enjoyed this journey pulling back the curtain and scratching the surface of the areas of machine learning and artificial intelligence. I'll continue to stay deep on this (things I can and cannot talk about) and continue to grow and contribute.

Don't hesitate to share some of your AI and ML favorites, projects you really enjoy, or projects you're working on.

Level 13

Thanks for the series. It's been interesting

Level 14

Thanks for the article!  I'll have to check out those suggestions.

Level 16

Thanks for the series.


Thanks for the articles, I wish I understood ML & AI better

Level 15

This was an enjoyable posting and a great series.  Thanks!

Level 12

These days there's no reason to try building something from scratch unless you are a hobbyist or really want to learn it in great detail. That's what open source is all about - take what someone else has already figured out and build from that foundation.


Thanks for the article

Fun stuff!  Here's hoping it, or even participating in the fun interactions and uploads, aren't used surreptitiously against us (unethically).


Level 12

Wow, I don't actually code, per se, this definitely gives me a different point of view!

Level 12

Thanks for the article. Somehow I missed some of the articles in this series so it was nice to see the links to them at the top so I can go back and read them.

Level 13

This has been very interesting.  Thanks.

Level 11

this is the first one I seen in the I got home work to do .

Level 20

These will be the years when we finally start getting AI/ML that does some real stuff...

Level 14

It won't be used for good though.  It will be used by big business to fleece everyone even more.

Level 13

very good series. 

About the Author
Founder at Remedy8 Security, Technology Evangelist, vExpert, EMC Elect, BDA, CISSP, MCT, Cloud, Ninja, Vegan, Father, Cat, Humorist, Author