# “To all you that are trying to tell people they can become professionals in just a few weeks JUST to sell your product – shame on you!”

May 21, 2018

This is a great video that explains a lot of what I’ve observed from students trying to machine learning, but put more eloquently than I could have said myself. =)

I’m always having to contend against students who have taken a super easy-peasy course, actually learned nothing, but believe they know everything. Then, when they come up against the real content, they believe it’s because the instructor is trying to make the course really “elite” or trying to make them feel “dumb” by including lots of math and/or programming that they can’t understand.

But realize:

• I (or any other instructor) did not invent these subjects
• If the subject requires math, that’s because it does
• If the subject requires programming, that’s because it does

We didn’t put math in there just to torture you. If you’re taking a math course, it’s probably going to have math in it.

A student gets frustrated because they don’t understand the real subject, but really they should be frustrated with the instructor who gave them the empty course that provided them with no skill and too much confidence.

This video is about software developers, but if you view it from the perspective of machine learning, everything still applies. Watch the video!

# NEW Deep Learning Course: Advanced NLP and RNNs

May 1, 2018

Over the past year, many of you have been asking for a followup on my RNN and Deep NLP courses. I am glad to announce that today, that course is here.

Deep Learning: Advanced NLP and RNNs

I decided to combine both NLP (natural language processing) and RNNs (recurrent neural networks) because these topics are so intertwined it’s almost impossible to talk about one without the other.

In recent years, a few ideas have started to bubble up and have shown themselves to be truly useful, and in this course, I bring those ideas to you.

1. I’ve been asked quite a few times about how to do classification when each input can have multiple labels assigned to it. We will do a text classification problem that has data exactly like this.

2. Neural machine translation. One of the most popular applications of Deep NLP. We can’t not do this.

3. Question answering. You can think of this as “reading comprehension”. Can an AI read a story and answer a question about it? Facebook Research made this popular with their bAbI dataset.

4. Speech recognition (see below).

As you know I like to take an abstract view of machine learning. We know that all of the techniques for these applications can be used for yet more applications without any change in code because the “data is the same”. For example, a spam detection dataset looks no different than a sentiment analysis dataset.

In the same vein, neural machine translation is no different from simple versions of question answering and chatbots. So you are really learning how to do all of these things at the same time.

We will of course get a chance to review basics such as LSTMs, GRUs, language modeling, word embeddings, and so forth.

What techniques will we cover? These techniques are what have helped RNNs really work well for NLP in the recent past:

1. Bidirectional RNNs

2. Sequence-to-sequence models (seq2seq)

3. Attention

4. Memory networks

So, if you’ve already heard about these and you wanted to learn about them – I hope you are excited!

THERE’S MORE:

This course is NOT just about RNNs but CNNs (convolutional neural networks) as well. This is an advanced course – ALL deep learning is fair game.

Early in the course, you’ll see how we can apply CNNs to text.

You will see that we get results on-par with LSTMs and GRUs.

That’s already pretty neat.

But there’s still more.

If you’re reading this, you automatically get access to the VIP version of the course, which contains EVEN MORE material.

For the first time, I’m releasing a course exclusively on https://deeplearningcourses.com

This course will appear on other sites in the future but you will NOT get the VIP version from those sites.

What’s in the VIP bonus?

It’s basically like an entirely new section of the course.

We will be looking at a topic I’ve wanted to cover for a long time: speech recognition.

Unlike the usual type of NLP stuff which focuses on text, speech recognition focuses on audio.

Text is neat and formatted. When you type the word “the” it’s the same as if I type the word “the”.

The same cannot be said for audio. When you say “the” it sounds different from when I say “the”.

Audio is a real-world, physical signal like images are.

In that sense, speech recognition is more like computer vision.

In fact, you’ll see how we can apply CNNs to this task as well.

I love this section of the course because we get to dive into some very cool, never-before-seen material in order to do speech processing – namely time-series techniques such as the Fourier transform.

You’ll even get a brief glimpse into how the Fourier transform is related to quantum mechanics and Heisenberg’s uncertainty principle!

Enough talk. Get the course here:

Deep Learning: Advanced NLP and RNNs

NOTES:

1. As usual, if you purchase the course on deeplearningcourses.com and you’d like access on Udemy as well, I will do that for you once the course is released there.

2. I’ve made a lot of updates to deeplearningcourses.com recently, so hopefully you find them useful! Always happy to consider feature requests.

3. I recently moved deeplearningcourses.com to a shiny new server, so if you have any problems, please let me know. Everything seems to be running smoothly so far!

# April 2018

### Grab these courses before these sales go away

I’m hard at work at my next course, so guess what that means? Everything on sale!

For the next 5 days, ALL courses on Udemy (not just mine) are available for just $10.99! For my courses, please use the coupons below (included in the links), or if you want, enter the coupon code: APR2018. For prerequisite courses (math, stats, Python programming) and all other courses, follow the links at the bottom. https://www.udemy.com/data-science-linear-regression-in-python/?couponCode=APR2018 https://www.udemy.com/data-science-logistic-regression-in-python/?couponCode=APR2018 https://www.udemy.com/data-science-deep-learning-in-python/?couponCode=APR2018 https://www.udemy.com/data-science-natural-language-processing-in-python/?couponCode=APR2018 https://www.udemy.com/sql-for-marketers-data-analytics-data-science-big-data/?couponCode=APR2018 https://www.udemy.com/deep-learning-convolutional-neural-networks-theano-tensorflow/?couponCode=APR2018 https://www.udemy.com/cluster-analysis-unsupervised-machine-learning-python/?couponCode=APR2018 https://www.udemy.com/unsupervised-deep-learning-in-python/?couponCode=APR2018 https://www.udemy.com/unsupervised-machine-learning-hidden-markov-models-in-python/?couponCode=APR2018 https://www.udemy.com/deep-learning-recurrent-neural-networks-in-python/?couponCode=APR2018 https://www.udemy.com/natural-language-processing-with-deep-learning-in-python/?couponCode=APR2018 https://www.udemy.com/data-science-supervised-machine-learning-in-python/?couponCode=APR2018 https://www.udemy.com/bayesian-machine-learning-in-python-ab-testing/?couponCode=APR2018 https://www.udemy.com/machine-learning-in-python-random-forest-adaboost/?couponCode=APR2018 https://www.udemy.com/artificial-intelligence-reinforcement-learning-in-python/?couponCode=APR2018 https://www.udemy.com/deep-reinforcement-learning-in-python/?couponCode=APR2018 https://www.udemy.com/deep-learning-gans-and-variational-autoencoders/?couponCode=APR2018 ### PREREQUISITE COURSE COUPONS And just as important,$10.99 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
Probability (option 3) http://bit.ly/2oXa2pb
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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:
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:

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!

# Linear Regression in the Wild – AV1: Next Generation Video Codec

April 10, 2018

A lot of students come up to me and ask about when they’re going to learn the latest and greatest new deep learning algorithm.

Sometimes, it’s easy to forget how applicable even the most basic of tools are.

As you know, I consider Linear Regression to be the best starting point for deep learning and machine learning in general.

And wouldn’t you know, here it is being used in the most advanced, state-of-the-art video codec we have today:

next generation video: Introducing AV1

Check it out!

This new state-of-the-art video codec is based on research done by multiple big companies, such as Google, Cisco, and Mozilla.

As you can see, the final equation is just a line ($$y = mx + b$$).

$$CfL(\alpha) = \alpha L^{AC} + DC$$

# Google Introduces TensorFlow Hub: A Library for Reusable Machine Learning Modules in TensorFlow

April 9, 2018

https://medium.com/tensorflow/introducing-tensorflow-hub-a-library-for-reusable-machine-learning-modules-in-tensorflow-cdee41fa18f9

# Deep Learning St. Patrick’s Day Sale! All Udemy Courses 90% OFF

March 17, 2018

#### ALL Courses on Udemy $10.99 # St. Patrick’s Day 2018 ### Who needs luck when you have machine learning? I’m hard at work at my next course, so guess what that means? Everything on sale! For the next 3 days, ALL courses on Udemy (not just mine) are available for just$10.99!

For my courses, please use the coupons below (included in the links), or if you want, enter the coupon code: MAR2018.

For prerequisite courses (math, stats, Python programming) and all other courses, follow the links at the bottom.

https://www.udemy.com/data-science-linear-regression-in-python/?couponCode=MAR2018

https://www.udemy.com/data-science-logistic-regression-in-python/?couponCode=MAR2018

https://www.udemy.com/data-science-deep-learning-in-python/?couponCode=MAR2018

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https://www.udemy.com/sql-for-marketers-data-analytics-data-science-big-data/?couponCode=MAR2018

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https://www.udemy.com/deep-learning-gans-and-variational-autoencoders/?couponCode=MAR2018

# Lunar New Year 2018

### Start your year right with Deep Learning

In 2018 and beyond, AI will continue to rise in importance, and the best jobs, the best new technologies – will absolutely depend on AI to have a competitive edge in the marketplace.

For the next 2 days, ALL courses on Udemy are available for just $10.99! (My courses will stay on sale for at least a week longer) For my courses, please use the coupons below (included in the links), or if you want, enter the coupon code yourself: LUNAR2018. For prerequisite courses and all other courses, follow the links at the bottom. https://www.udemy.com/data-science-linear-regression-in-python/?couponCode=LUNAR2018 https://www.udemy.com/data-science-logistic-regression-in-python/?couponCode=LUNAR2018 https://www.udemy.com/data-science-deep-learning-in-python/?couponCode=LUNAR2018 https://www.udemy.com/data-science-natural-language-processing-in-python/?couponCode=LUNAR2018 https://www.udemy.com/sql-for-marketers-data-analytics-data-science-big-data/?couponCode=LUNAR2018 https://www.udemy.com/deep-learning-convolutional-neural-networks-theano-tensorflow/?couponCode=LUNAR2018 https://www.udemy.com/cluster-analysis-unsupervised-machine-learning-python/?couponCode=LUNAR2018 https://www.udemy.com/unsupervised-deep-learning-in-python/?couponCode=LUNAR2018 https://www.udemy.com/unsupervised-machine-learning-hidden-markov-models-in-python/?couponCode=LUNAR2018 https://www.udemy.com/deep-learning-recurrent-neural-networks-in-python/?couponCode=LUNAR2018 https://www.udemy.com/natural-language-processing-with-deep-learning-in-python/?couponCode=LUNAR2018 https://www.udemy.com/data-science-supervised-machine-learning-in-python/?couponCode=LUNAR2018 https://www.udemy.com/bayesian-machine-learning-in-python-ab-testing/?couponCode=LUNAR2018 https://www.udemy.com/machine-learning-in-python-random-forest-adaboost/?couponCode=LUNAR2018 https://www.udemy.com/artificial-intelligence-reinforcement-learning-in-python/?couponCode=LUNAR2018 https://www.udemy.com/deep-reinforcement-learning-in-python/?couponCode=LUNAR2018 https://www.udemy.com/deep-learning-gans-and-variational-autoencoders/?couponCode=LUNAR2018 ### PREREQUISITE COURSE COUPONS And just as important,$10.99 coupons for some helpful prerequisite courses. You NEED to know this stuff before you study machine learning:

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
Probability (option 3) http://bit.ly/2oXa2pb
Probability (option 4) 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:

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!

# Last Chance to meet your 2018 Deep Learning New Years Resolutions!

January 24, 2018

#### ALL Courses on Udemy $10.99 # Deep Learning BLAST OFF 2018 ### Last Chance to meet your 2018 New Years Resolutions! Earlier this year we had a New Years sale with all courses 90% off. I’ve been getting a lot of emails from those who missed it, those who just joined, etc. Don’t worry – you have one more chance to meet your New Years 2018 goals! In 2018 and beyond, AI will continue to rise in importance, and the best jobs, the best new technologies – will absolutely depend on AI to have a competitive edge in the marketplace. For the next 2 days, Udemy is extending its New Years sale, and ALL courses on the site are available for just$10.99!

For my courses, please use the coupons below (included in the links), or if you want, enter the coupon code: BLASTOFF2018.

For prerequisite courses and all other courses, follow the links at the bottom.

https://www.udemy.com/data-science-linear-regression-in-python/?couponCode=BLASTOFF2018

https://www.udemy.com/data-science-logistic-regression-in-python/?couponCode=BLASTOFF2018

https://www.udemy.com/data-science-deep-learning-in-python/?couponCode=BLASTOFF2018

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https://www.udemy.com/data-science-supervised-machine-learning-in-python/?couponCode=BLASTOFF2018

https://www.udemy.com/bayesian-machine-learning-in-python-ab-testing/?couponCode=BLASTOFF2018

https://www.udemy.com/artificial-intelligence-reinforcement-learning-in-python/?couponCode=BLASTOFF2018

https://www.udemy.com/deep-reinforcement-learning-in-python/?couponCode=BLASTOFF2018

https://www.udemy.com/deep-learning-gans-and-variational-autoencoders/?couponCode=BLASTOFF2018

### PREREQUISITE COURSE COUPONS

And just as important, \$10.99 coupons for some helpful prerequisite courses. You NEED to know this stuff before you study machine learning:

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
Probability (option 3) http://bit.ly/2oXa2pb
Probability (option 4) 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:

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!

# Windows: How to install Tensorflow, Theano, Keras, PyTorch, CNTK, and more on Windows

January 17, 2018

Historically, Windows users have had the most trouble installing deep learning, machine learning, data science, and AI libraries.

Just a few years ago this process would have taken you hours, if not days, to complete, if you completed it at all (as opposed to just giving up).

Nowadays, things are MUCH easier.

In this lecture, I walk you through how to install the following libraries on Windows:

• Numpy
• Scipy
• Matplotlib
• Pandas
• NLTK (for NLP)
• Scikit-Learn
• Tensorflow
• Theano
• Keras
• PyTorch
• CNTK
• OpenAI Gym
• OpenAI Gym Atari Extension
• ffmpeg (needed to save videos in OpenAI Gym)