# July 2018

### Too hot outside? Watch AI & Deep Learning videos instead!

I’ve been busy making free content and updates for my existing courses, so guess what that means? Everything on sale!

For the next 3 days, ALL courses on Udemy (not just mine) are available for just $9.99! This is the lowest price possible on Udemy, so make sure you grab these courses while you have the chance. For my courses, please use the coupons below (included in the links), or if you want, enter the coupon code: JULY2018. For prerequisite courses (math, stats, Python programming) and all other courses, follow the links at the bottom. Since ALL courses on Udemy on sale, for any course not listed here, just click the general (site-wide) link, and search for courses from that page. BY THE WAY: Did you see my latest announcement about the massive updates I just made to my original Deep Learning with NLP course? It includes a brand new section called “Beginner’s Corner” which is designed to be useful for beginners to ML who aren’t quite ready for the rest of the course yet. If not: read more here. ALSO: Got any requests? What do you want to learn about? (Doesn’t have to be Deep Learning or AI-related) Let me know! https://www.udemy.com/deep-learning-advanced-nlp/?couponCode=JULY2018 https://www.udemy.com/advanced-computer-vision/?couponCode=JULY2018 https://www.udemy.com/deep-learning-gans-and-variational-autoencoders/?couponCode=JULY2018 https://www.udemy.com/deep-reinforcement-learning-in-python/?couponCode=JULY2018 https://www.udemy.com/artificial-intelligence-reinforcement-learning-in-python/?couponCode=JULY2018 ### 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/2prFQ7o
Probability (option 2) http://bit.ly/2p8kcC0
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### 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:
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Ruby on Rails courses:
https://lazyprogrammer.me/ruby-on-rails

Python courses:
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Big Data (Spark + Hadoop) courses:

Javascript, ReactJS, AngularJS courses:
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### 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!

# FREE Updates to NLP: Deep Learning for Beginners!

July 15, 2018

You may have noticed that my course Natural Language Processing with Deep Learning in Python has gotten a lot longer recently!

As part of my course revitalization process, I’ve added a significant number of updates to this course.

All students are receiving this announcement because no matter what skill-level you’re currently at, you will get a lot of value from this update.

What has changed?

A brand new section called “Beginner’s Corner”. This section requires only basic machine learning knowledge. Know what a feature vector is, and know how to use the SciKit-Learn API.

You will get a taste of what word2vec and GloVe vectors can do.

You can still get a good understanding of what the course is about even if you’re not (yet!) ready to tackle the rest of the course.

A brand new “Review” section has been added. This section focuses on the bigram model, and several ways to implement it.

1) Just counting. For example, p(heads) = # heads / # total.

2) A single neuron (logistic model). We show how this is equivalent to #1.

3) A neural network model. We show how this actually makes #2 more efficient.

Crucially, this section provides you with all the techniques you need to tackle the next section on word2vec.

The word2vec section has also been completely re-done in order to take advantage of the concepts learned in the Review, making the transition seamless.

Finally, a brand new section on word vectors unifies the word2vec and GloVe sections, giving you a totally new (and in my opinion, better) way of training word2vec.

Additional theory lectures and Tensorflow code have been added to the RNN and Recursive Neural Network sections. Recall: the latter is a neural network structured like a tree.

Yes, Tensorflow’s capabilities have caught up! We can now do everything in Tensorflow that we’d previously done in Theano.

So if you’ve been avoiding these sections because you didn’t know Theano, now you have no excuse. =)

Click HERE to get the course if you don’t have it yet.

Hope you enjoy the updates, happy learning!