January 27, 2017
I would like to announce my latest course – Artificial Intelligence: Reinforcement Learning in Python.
This has been one of my most requested topics since I started covering deep learning. This course has been brewing in the background for months.
The result: This is my most MASSIVE course yet.
Usually, my courses will introduce you to a handful of new algorithms (which is a lot for people to handle already). This course covers SEVENTEEN (17!) new algorithms.
This will keep you busy for a LONG time.
If you’re used to supervised and unsupervised machine learning, realize this: Reinforcement Learning is a whole new ball game.
There are so many new concepts to learn, and so much depth. It’s COMPLETELY different from anything you’ve seen before.
That’s why we build everything slowly, from the ground up.
There’s tons of new theory, but as you’ve come to expect, anytime we introduce new theory it is accompanied by full code examples.
What is Reinforcement Learning? It’s the technology behind self-driving cars, AlphaGo, video game-playing programs, and more.
You’ll learn that while deep learning has been very useful for tasks like driving and playing Go, it’s in fact just a small part of the picture.
Reinforcement Learning provides the framework that allows deep learning to be useful.
Without reinforcement learning, all we have is a basic (albeit very accurate) labeling machine.
With Reinforcement Learning, you have intelligence.
Reinforcement Learning has even been used to model processes in psychology and neuroscience. It’s truly the closest thing we have to “machine intelligence” and “general AI”.
What are you waiting for? Sign up now!!
#artificial intelligence #deep learning #reinforcement learning
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November 17, 2016
[If you already know you want to sign up for my Bayesian machine learning course, just scroll to the bottom to get your $10 coupon!]
Boy, do I have some exciting news today!
You guys have already been keeping up with my deep learning series.
Hopefully, you’ve noticed that I’ve been releasing non-deep learning machine learning courses as well, in parallel (and they often tie into the deep learning series quite nicely).
Well today, I am announcing the start of a BRAND NEW series on Bayesian machine learning.
Bayesian methods require an entirely new way of thinking – a paradigm shift.
But don’t worry, it’s not just all theory.
In fact, the first course I’m releasing in the series is VERY practical – it’s on A/B testing.
Every online advertiser, e-commerce store, marketing team, etc etc etc. does A/B testing.
But did you know that traditional A/B testing is both horribly confusing and inefficient?
Did you know that there are cool, new adaptive methods inspired by reinforcement learning that improve on those old crusty tests?
(Those old methods, and the way they are traditionally taught, are probably the reason you cringe when you hear the word “statistics”)
Well, Bayesian methods not only represent a state-of-the-art solution to many A/B testing challenges, they are also surprisingly theoretically simpler!
You’ll end the course by doing your own simulation – comparing and contrasting the various adaptive A/B testing algorithms (including the final Bayesian method).
This is VERY practical stuff and any digital media, newsfeed, or advertising startup will be EXTREMELY IMPRESSED if you know this stuff.
This WILL advance your career, and any company would be lucky to have someone that knows this stuff on their team.
Awesome coincidence #1: As I mentioned above, a lot of these techniques cross-over with reinforcement learning, so if you are itching for a preview of my upcoming deep reinforcement learning course, this will be very interesting for you.
Awesome coincidence #2: Bayesian learning also crosses over with deep learning, one example being the variational autoencoder, which I may incorporate into a more advanced deep learning course in the future. They heavily rely on concepts from both Bayesian learning AND deep learning, and are very powerful state-of-the-art algorithms.
Due to all the black Friday madness going on, I am going to do a ONE-TIME ONLY $10 special for this course. With my coupons, the price will remain at $10, even if Udemy’s site-wide sale price goes up (which it will).
See you in class!
As promised, here is the coupon:
UPDATE: The Black Friday sale is over, but the early bird coupon is still up for grabs:
LAST THING: Udemy is currently having an awesome Black Friday sale. $10 for ANY course starting Nov 15, but the price goes up by $1 every 2 days, so you need to ACT FAST.
I was going to tell you earlier but I was hard at work on my course. =)
Just click this link to get ANY course on Udemy for $10 (+$1 every 2 days): http://bit.ly/2fY3y5M
#bayesian #data science #machine learning #statistics
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