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MATLAB for Students, Engineers, and Professionals in STEM

June 25, 2019

Exciting news!

I’ve just RE-released my very first course (no longer available on any platform anywhere else), which was focused on MATLAB for signal processing with images and sound.

Crazy to think that I made this course FIVE years ago. This course was not even my idea!

It can be thought of as the MATLAB equivalent of my free Numpy course (which is for Python).

Of course, this is not for everybody, as MATLAB is not free and is a pretty niche language, but this should be nice for those of you who actually work with MATLAB either in school or at your job.

Or of course, you can get it just to support future content and to have a full collection. 😉

Click here to get MATLAB for Students, Engineers, and Professionals in STEM

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[June 2019] AI / Machine Learning HUGE Summer Sale! $9.99

June 10, 2019

AI / Machine Learning Summer Sale

For the next week, all my Deep Learning and AI courses are available for just $9.99! (In addition to other courses on the site for the next few days)

For those of you who have been around for some time, you know that this sale doesn’t come around very often – just a few times per year. If you’ve been on the fence about getting a course, NOW is the time to do so. Get it now – save it for later.

For my courses, please use the coupons below (included in the links), or if you want, enter the coupon code: JUN2019.

As usual, if you want to know what order to take my courses in, check out the lecture “What order should I take your courses in?” in the Appendix of any of my courses (including the free Numpy course).

For prerequisite courses (math, stats, Python programming) and all other courses, follow the links at the bottom for sales of up to 90% off!

Since ALL courses on Udemy on sale, if you want any course not listed here, just click the general (site-wide) link, and search for courses from that page.


https://www.udemy.com/cutting-edge-artificial-intelligence/?couponCode=JUN2019


https://www.udemy.com/support-vector-machines-in-python/?couponCode=JUN2019


https://www.udemy.com/recommender-systems/?couponCode=JUN2019


https://www.udemy.com/deep-learning-advanced-nlp/?couponCode=JUN2019


https://www.udemy.com/advanced-computer-vision/?couponCode=JUN2019


https://www.udemy.com/deep-learning-gans-and-variational-autoencoders/?couponCode=JUN2019


https://www.udemy.com/deep-reinforcement-learning-in-python/?couponCode=JUN2019


https://www.udemy.com/artificial-intelligence-reinforcement-learning-in-python/?couponCode=JUN2019


https://www.udemy.com/data-science-linear-regression-in-python/?couponCode=JUN2019


https://www.udemy.com/data-science-logistic-regression-in-python/?couponCode=JUN2019


https://www.udemy.com/data-science-deep-learning-in-python/?couponCode=JUN2019


https://www.udemy.com/data-science-natural-language-processing-in-python/?couponCode=JUN2019


https://www.udemy.com/data-science-deep-learning-in-theano-tensorflow/?couponCode=JUN2019


https://www.udemy.com/sql-for-marketers-data-analytics-data-science-big-data/?couponCode=JUN2019


https://www.udemy.com/deep-learning-convolutional-neural-networks-theano-tensorflow/?couponCode=JUN2019


https://www.udemy.com/cluster-analysis-unsupervised-machine-learning-python/?couponCode=JUN2019


https://www.udemy.com/unsupervised-deep-learning-in-python/?couponCode=JUN2019


https://www.udemy.com/unsupervised-machine-learning-hidden-markov-models-in-python/?couponCode=JUN2019


https://www.udemy.com/deep-learning-recurrent-neural-networks-in-python/?couponCode=JUN2019


https://www.udemy.com/natural-language-processing-with-deep-learning-in-python/?couponCode=JUN2019


https://www.udemy.com/data-science-supervised-machine-learning-in-python/?couponCode=JUN2019


https://www.udemy.com/bayesian-machine-learning-in-python-ab-testing/?couponCode=JUN2019


https://www.udemy.com/machine-learning-in-python-random-forest-adaboost/?couponCode=JUN2019

 

PREREQUISITE COURSE COUPONS

And just as important, $9.99 coupons for some helpful prerequisite courses. You NEED to know this stuff to understand machine learning in-depth:

General (site-wide): http://bit.ly/2oCY14Z
Python http://bit.ly/2pbXxXz
Calc 1 http://bit.ly/2okPUib
Calc 2 http://bit.ly/2oXnhpX
Calc 3 http://bit.ly/2pVU0gQ
Linalg 1 http://bit.ly/2oBBir1
Linalg 2 http://bit.ly/2q5SGEE
Probability (option 1) http://bit.ly/2p8kcC0
Probability (option 2) http://bit.ly/2oXa2pb
Probability (option 3) http://bit.ly/2oXbZSK

 

OTHER UDEMY COURSE COUPONS

As you know, I’m the “Lazy Programmer”, not just the “Lazy Data Scientist” – I love all kinds of programming!

 

iOS courses:
https://lazyprogrammer.me/ios

Android courses:
https://lazyprogrammer.me/android

Ruby on Rails courses:
https://lazyprogrammer.me/ruby-on-rails

Python courses:
https://lazyprogrammer.me/python

Big Data (Spark + Hadoop) courses:
https://lazyprogrammer.me/big-data-hadoop-spark-sql

Javascript, ReactJS, AngularJS courses:
https://lazyprogrammer.me/js

 

EVEN MORE COOL STUFF

Into Yoga in your spare time? Photography? Painting? There are courses, and I’ve got coupons! If you find a course on Udemy that you’d like a coupon for, just let me know and I’ll hook you up!

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New Course! Cutting-Edge AI: Deep Reinforcement Learning in Python

May 9, 2019

Quite a few of you have been asking when I’d do another Reinforcement Learning course… well, how about today? 😉

[if you don’t want to read my little spiel just click here to get your VIP coupon: https://deeplearningcourses.com/c/cutting-edge-artificial-intelligence]

This is technically Deep Learning in Python part 11, and my 3rd reinforcement learning course, which is super awesome.

The maturation of deep learning has propelled advances in reinforcement learning, which has been around since the 1980s, although some aspects of it, such as the Bellman equation, have been for much longer.

Recently, these advances have allowed us to showcase just how powerful reinforcement learning can be.

We’ve seen how AlphaZero can master the game of Go using only self-play.

This is just a few years after the original AlphaGo already beat a world champion in Go.

We’ve seen real-world robots learn how to walk, and even recover after being kicked over, despite only being trained using simulation.

Simulation is nice because it doesn’t require actual hardware, which is expensive. If your agent falls down, no real damage is done.

We’ve seen real-world robots learn hand dexterity, which is no small feat.

Walking is one thing, but that involves coarse movements. Hand dexterity is complex – you have many degrees of freedom and many of the forces involved are extremely subtle.

Last but not least – video games.

Even just considering the past few months, we’ve seen some amazing developments. AIs are now beating professional players in CS:GO and Dota 2.

So what makes this course different from the first two?

Now that we know deep learning works with reinforcement learning, the question becomes: how do we improve these algorithms?

This course is going to show you a few different ways: including the powerful A2C (Advantage Actor-Critic) algorithm, the DDPG (Deep Deterministic Policy Gradient) algorithm, and evolution strategies.

Evolution strategies is a new and fresh take on reinforcement learning, that kind of throws away all the old theory in favor of a more “black box” approach, inspired by biological evolution.

What’s also great about this new course is the variety of environments we get to look at.

First, we’re going to look at the classic Atari environments. These are important because they show that reinforcement learning agents can learn based on images alone.

Second, we’re going to look at MuJoCo, which is a physics simulator. This is the first step to building a robot that can navigate the real-world and understand physics – we first have to show it can work with simulated physics.

Finally, we’re going to look at Flappy Bird, everyone’s favorite mobile game just a few years ago.

What do you get if you sign up for the VIP version of this course? A brand new exclusive section covering an entirely new algorithm: TD3! As usual, both theory and code for this powerful state-of-the-art algorithm are provided.

I’ll see you in class!

P.S. As usual, if you primarily use another site (e.g. Udemy) you will automatically get free access (upon request) if you’ve already purchased the VIP version of the course from deeplearningcourses.com.

Get the course now
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Udemy St. Patrick’s Day Sale 🍀

March 13, 2019

Do beer and AI go together?

For the next week, all my Deep Learning and AI courses are available for just $11.99! ($1.00 less than the current sale, woohoo!)

For my courses, please use the coupons below (included in the links), or if you want, enter the coupon code: MAR2019.

For prerequisite courses (math, stats, Python programming) and all other courses, follow the links at the bottom for sales of up to 90% off!

Since ALL courses on Udemy on sale, if you want any course not listed here, just click the general (site-wide) link, and search for courses from that page.


https://www.udemy.com/support-vector-machines-in-python/?couponCode=MAR2019

https://www.udemy.com/recommender-systems/?couponCode=MAR2019
https://www.udemy.com/deep-learning-advanced-nlp/?couponCode=MAR2019


https://www.udemy.com/advanced-computer-vision/?couponCode=MAR2019


https://www.udemy.com/deep-learning-gans-and-variational-autoencoders/?couponCode=MAR2019


https://www.udemy.com/deep-reinforcement-learning-in-python/?couponCode=MAR2019


https://www.udemy.com/artificial-intelligence-reinforcement-learning-in-python/?couponCode=MAR2019


https://www.udemy.com/data-science-linear-regression-in-python/?couponCode=MAR2019


https://www.udemy.com/data-science-logistic-regression-in-python/?couponCode=MAR2019


https://www.udemy.com/data-science-deep-learning-in-python/?couponCode=MAR2019


https://www.udemy.com/data-science-natural-language-processing-in-python/?couponCode=MAR2019


https://www.udemy.com/data-science-deep-learning-in-theano-tensorflow/?couponCode=MAR2019


https://www.udemy.com/sql-for-marketers-data-analytics-data-science-big-data/?couponCode=MAR2019


https://www.udemy.com/deep-learning-convolutional-neural-networks-theano-tensorflow/?couponCode=MAR2019


https://www.udemy.com/cluster-analysis-unsupervised-machine-learning-python/?couponCode=MAR2019


https://www.udemy.com/unsupervised-deep-learning-in-python/?couponCode=MAR2019


https://www.udemy.com/unsupervised-machine-learning-hidden-markov-models-in-python/?couponCode=MAR2019


https://www.udemy.com/deep-learning-recurrent-neural-networks-in-python/?couponCode=MAR2019


https://www.udemy.com/natural-language-processing-with-deep-learning-in-python/?couponCode=MAR2019


https://www.udemy.com/data-science-supervised-machine-learning-in-python/?couponCode=MAR2019


https://www.udemy.com/bayesian-machine-learning-in-python-ab-testing/?couponCode=MAR2019


https://www.udemy.com/machine-learning-in-python-random-forest-adaboost/?couponCode=MAR2019

 

PREREQUISITE COURSE COUPONS

And just as important, $11.99 coupons for some helpful prerequisite courses. You NEED to know this stuff to understand machine learning in-depth:

General (site-wide): http://bit.ly/2oCY14Z
Python http://bit.ly/2pbXxXz
Calc 1 http://bit.ly/2okPUib
Calc 2 http://bit.ly/2oXnhpX
Calc 3 http://bit.ly/2pVU0gQ
Linalg 1 http://bit.ly/2oBBir1
Linalg 2 http://bit.ly/2q5SGEE
Probability (option 1) http://bit.ly/2p8kcC0
Probability (option 2) http://bit.ly/2oXa2pb
Probability (option 3) http://bit.ly/2oXbZSK

 

OTHER UDEMY COURSE COUPONS

As you know, I’m the “Lazy Programmer”, not just the “Lazy Data Scientist” – I love all kinds of programming!

 

iOS courses:
https://lazyprogrammer.me/ios

Android courses:
https://lazyprogrammer.me/android

Ruby on Rails courses:
https://lazyprogrammer.me/ruby-on-rails

Python courses:
https://lazyprogrammer.me/python

Big Data (Spark + Hadoop) courses:
https://lazyprogrammer.me/big-data-hadoop-spark-sql

Javascript, ReactJS, AngularJS courses:
https://lazyprogrammer.me/js

 

EVEN MORE COOL STUFF

Into Yoga in your spare time? Photography? Painting? There are courses, and I’ve got coupons! If you find a course on Udemy that you’d like a coupon for, just let me know and I’ll hook you up!

Go to comments


[New Release] Machine Learning and AI: Support Vector Machines in Python

January 22, 2019

Support Vector Machines in Python

 

Wow, I didn’t think I’d be coming out with another course so soon – but here it is!

[if you don’t want to read my little spiel just click here to get your VIP coupon: https://deeplearningcourses.com/c/support-vector-machines-in-python]

[By the way, I went all-out this time in the VIP version – you’ll want to check it out below – comes with 4 all-new models (both theory+code provided of course)]

SVMs are one of the most robust and powerful machine learning models. It can be a very useful “plug-and-play” solution – just throw your data in the model and wait for the magic to happen.

Unlike deep learning, where you can spend days or weeks tuning your hyperparameters, SVMs only have 2 hyperparameters, which are generally easy to understand and reason about.

One of the things you’ll learn about in this course is that a support vector machine actually is a neural network, and they essentially look identical if you were to draw a diagram.


The toughest obstacle to overcome when you’re learning about support vector machines is that they are very theoretical. This theory very easily scares a lot of people away, and it might feel like learning about support vector machines is beyond your ability. Not so!

In this course, we take a very methodical, step-by-step approach to build up all the theory you need to understand how the SVM really works. We are going to use Logistic Regression as our starting point, which is one of the very first things you learn about as a student of machine learning. So if you want to understand this course, just have a good intuition about Logistic Regression, and by extension have a good understanding of the geometry of lines, planes, and hyperplanes.

This course will cover the critical theory behind SVMs:

  • Linear SVM derivation
  • Hinge loss (and its relation to the Cross-Entropy loss)
  • Quadratic programming (and Linear programming review)
  • Slack variables
  • Lagrangian Duality
  • Kernel SVM (nonlinear SVM)
  • Polynomial Kernels, Gaussian Kernels, Sigmoid Kernels, and String Kernels
  • Learn how to achieve an infinite-dimensional feature expansion
  • Projected Gradient Descent
  • SMO (Sequential Minimal Optimization)
  • RBF Networks (Radial Basis Function Neural Networks)
  • Support Vector Regression (SVR)
  • Multiclass Classification

As a VIP bonus, you will also get material for how to apply the “Kernel Trick” to other machine learning models. This is how you can use a model which is normally “weak” (such as linear regression) and make it “strong”. I’ve chosen models from various different areas of machine learning.

  • Kernel Linear regression (for regression)
  • Kernel Logistic regression (for classification)
  • Kernel K-means clustering (for clustering)
  • Kernel Principal components analysis (PCA) (for dimensionality reduction)

Remember – the VIP bonus is only available at https://deeplearningcourses.com/c/support-vector-machines-in-python.

See here what linear regression can be capable of:

And logistic regression:

When the kernel trick is applied!

For those of you who are thinking, “theory is not for me”, there’s lots of material in this course for you too!

In this course, there will be not just one, but two full sections devoted to just the practical aspects of how to make effective use of the SVM.

We’ll do end-to-end examples of real, practical machine learning applications, such as:

  • Image recognition
  • Spam detection
  • Medical diagnosis
  • Regression analysis

For more advanced students, there are also plenty of coding exercises where you will get to try different approaches to implementing SVMs.

These are implementations that you won’t find anywhere else in any other course.

I’ll see you in class!

P.S. As usual, if you primarily use another site (e.g. Udemy) you will automatically get free access (upon request) if you’ve already purchased the VIP version of the course from deeplearningcourses.com.

Get the course now
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