🎄 BLACK FRIDAY 2021 COUPONS AND DEALS

November 26, 2021

Hello friends!

 

The Black Friday 2021 sale is on! I’m sending you links now which will give you the maximum possible discount during the Black Friday / Cyber Monday season (see below for specific dates).

For those students who are new (welcome!), you may not know that I have a whole catalog of machine learning and AI courses built up and continuously updated over the past 6 years, with separate in-depth courses covering nearly every topic in the field, including:

– Machine Learning (Linear Regression, Logistic Regression, K-Means Clustering, GMMs, Hierarchical Clustering, HMMs, Markov Models, Decision Trees, Random Forests, Naive Bayes, Perceptrons, SVMs, boosting, Bayesian ML, A/B Testing)

– NLP (Attention, seq2seq, BiLSTMs, word2vec, GloVe, article spinning, latent semantic indexing, sentiment analysis, spam detection)

– Reinforcement Learning (the basics, along with modern Deep RL topics like DQN, Policy Gradient Methods, Evolution Strategies, A2C and A3C, DDPG)

– Deep Learning (separate courses for ANNs, CNNs, RNNs, GANs, Variational Autoencoders, Recommender Systems, Computer Vision)

BOOKMARK THIS POST because these links will give you the best discount possible over the Black Friday / Cyber Monday sales later this month.

The “Black Friday” links will work on the following dates:

– Friday November 26, 2021 (Black Friday)

– All week before Black Friday (starting November 19)

– Monday November 29, 2021 (Cyber Monday)

– Maybe a few days after that, but don’t wait and regret it

 

 

Outline of the following discounts:

1. Time Series Analysis, Forecasting, and Machine Learning (VIP)

2. Financial Engineering and Artificial Intelligence in Python (VIP)

3. PyTorch: Deep Learning and Artificial Intelligence (VIP)

4. Artificial Intelligence: Reinforcement Learning in Python (VIP)

5. Black Friday Discounts for Other Courses

Note that the “VIP links” will work for the next 30 days, you don’t need to wait until Black Friday for those.

Time Series Analysis, Forecasting, and Machine Learning (VIP PROMOTION)

==The Complete Time Series Analysis Course Has Arrived==

https://www.udemy.com/course/time-series-analysis/?couponCode=TIMEVIP6

(note: this VIP coupon expires in 30 days!)

We will cover techniques such as:

  • ETS and Exponential Smoothing
  • Holt’s Linear Trend Model
  • Holt-Winters Model
  • ARIMA, SARIMA, SARIMAX, and Auto ARIMA
  • ACF and PACF
  • Vector Autoregression and Moving Average Models (VAR, VMA, VARMA)
  • Machine Learning Models (including Logistic Regression, Support Vector Machines, and Random Forests)
  • Deep Learning Models (Artificial Neural Networks, Convolutional Neural Networks, and Recurrent Neural Networks)
  • GRUs and LSTMs for Time Series Forecasting

We will cover applications such as:

  • Time series forecasting of sales data
  • Time series forecasting of stock prices and stock returns
  • Time series classification of smartphone data to predict user behavior

The VIP version (obtained by purchasing the course NOW during the VIP period) of the course covers even more exciting topics, such as:

  • AWS Forecast (Amazon’s state-of-the-art low-code forecasting API)
  • GARCH (financial volatility modeling)
  • FB Prophet (Facebook’s time series library)

 

Financial Engineering and Artificial Intelligence in Python

VIP Promotion

==The complete Financial Engineering course has arrived==

https://www.udemy.com/course/ai-finance/?couponCode=FINANCEVIP15

This is a MASSIVE (20 hours) Financial Engineering course covering the core fundamentals of financial engineering and financial analysis from scratch. We will go in-depth into all the classic topics, such as:

  • Exploratory data analysis, significance testing, correlations, alpha and beta
  • Time series analysis, simple moving average, exponentially-weighted moving average
  • Holt-Winters exponential smoothing model
  • ARIMA and SARIMA
  • Efficient Market Hypothesis
  • Random Walk Hypothesis
  • Time series forecasting (“stock price prediction”)
  • Modern portfolio theory
  • Efficient frontier / Markowitz bullet
  • Mean-variance optimization
  • Maximizing the Sharpe ratio
  • Convex optimization with Linear Programming and Quadratic Programming
  • Capital Asset Pricing Model (CAPM)
  • Algorithmic trading

In addition, we will look at various non-traditional techniques which stem purely from the field of machine learning and artificial intelligence, such as:

  • Regression models
  • Classification models
  • Unsupervised learning
  • Reinforcement learning and Q-learning

List of VIP content:

  • Classic Algorithmic Trading – Trend Following Strategy
  • Machine Learning-Based Trading Strategy
  • Reinforcement Learning-Based (Q-Learning) Trading Strategy
  • Statistical Factor Models
  • Regime Detection and Volatility Clustering with HMMs and Sequence Modeling

 

PyTorch: Deep Learning and Artificial Intelligence

VIP Promotion

=====The complete PyTorch course has arrived=====

https://www.udemy.com/course/pytorch-deep-learning/?couponCode=PYTORCHVIP20

This is a MASSIVE (over 22 hours) Deep Learning course covering EVERYTHING from scratch. That includes:

  • Machine learning basics (linear neurons)
  • ANNs, CNNs, and RNNs for images and sequence data
  • Time series forecasting and stock predictions (+ why all those fake data scientists are doing it wrong)
  • NLP (natural language processing)
  • Recommender systems
  • Transfer learning for computer vision
  • GANs (generative adversarial networks)
  • Deep reinforcement learning and applying it by building a stock trading bot
  • VIP only: Making predictions with your trained NLP model
  • VIP only: Making predictions with your trained Recommender model
  • VIP only: Modeling prediction uncertainty and heteroskedasticity (i.e. stock returns!)
  • VIP only: Facial recognition with Siamese Networks

 

Artificial Intelligence: Reinforcement Learning in Python

VIP Promotion

===The complete Reinforcement Learning course has arrived===

https://deeplearningcourses.com/c/artificial-intelligence-reinforcement-learning-in-python

Reinforcement Learning is the most general form of AI we know of so far – some speculate it is the way forward to mimic animal intelligence and attain “AGI” (artificial general intelligence).

This course covers:

  • The explore-exploit dilemma and the Bayesian bandit method
  • MDPs (Markov Decision Processes)
  • Dynamic Programming solution for MDPs
  • Monte Carlo Method
  • Temporal Difference Method (including Q-Learning)
  • Approximation Methods using RBF Neural Networks
  • Applying your code to OpenAI Gym with zero effort / code changes
  • Building a stock trading bot (different approach in each course!)

 

Tensorflow 2: Deep Learning and Artificial Intelligence VIP

Exclusive to deeplearningcourses.com only

===The complete Tensorflow 2 course has arrived===

Get it here: https://deeplearningcourses.com/c/deep-learning-tensorflow-2

 

BLACK FRIDAY DISCOUNTED Courses

Looking for the LOWEST PRICE POSSIBLE Udemy Coupons?

 

Please enjoy the below Black Friday coupons for the rest of my courses on Udemy.

The best part is, you don’t have to enter any coupon code at all. Simply clicking on the links below will automatically get you the best possible price.

*Note: a few of the courses below, marked with an asterisk (*) are not part of the Black Friday sale. However, if you purchase these courses at the current price, you will receive, upon request, complimentary access to the full VIP version of the course on deeplearningcourses.com. Just email me at [email protected] for free access with proof of purchase.

www.udemy.com/course/deep-learning-tensorflow-2/?referralCode=E10B72D3848AB70FE1B8

  • Machine Learning and Neurons
  • ANNs, CNNs, RNNs
  • NLP (Natural Language Processing)
  • GANs
  • Recommender Systems
  • Deep Reinforcement Learning (build a “stock trading bot”)
  • Transfer Learning for Computer Vision

 

www.udemy.com/course/cutting-edge-artificial-intelligence/?referralCode=12A3B9950D525ECB4557

  • Deep Reinforcement Learning algorithms such as A2C, Evolution Strategies, and DDPG


https://www.udemy.com/course/support-vector-machines-in-python/?referralCode=8EDBF7E0BD5AF7C1545D (*)

  • Support Vector Machines (SVMs) in-depth starting from linear classification theory to the maximum margin method, kernel trick, quadratic programming, and the SMO (sequential minimal optimization) algorithm

www.udemy.com/course/recommender-systems/?referralCode=E33FEBAEF42C85B8FA8F

  • Reddit and Hacker News algorithms
  • PageRank (what Google Search uses)
  • Bayesian / Thompson sampling
  • Collaborative filtering
  • Matrix factorization
  • We use the 20 million ratings dataset, not the puny 100k dataset everyone else uses
  • Implementing matrix factorization with Deep Learning
  • Using Deep Neural Networks for recommenders
  • Autoencoders for recommenders
  • Restricted Boltzmann Machines (RBMs) for recommenders
  • Recommenders with big data (PySpark) on AWS cluster

www.udemy.com/course/deep-learning-advanced-nlp/?referralCode=A9F4F0A8E6479BE90D55

  • Modern Deep NLP techniques such as Bidirectional LSTMs, CNNs for text classification, seq2seq, attention, and memory networks

www.udemy.com/course/advanced-computer-vision/?referralCode=E75E8CDDEBB5A91A666F

  • Deep Learning techniques for computer vision, such as state-of-the-art networks (VGG, ResNet, Inception)
  • Train state-of-the-art models fast with transfer learning
  • Object detection with SSD
  • Neural style transfer


www.udemy.com/course/deep-learning-gans-and-variational-autoencoders/?referralCode=A7980E2D769910C847F9 (*)

  • Generate realistic, high quality images with deep neural networks
  • Apply game theory and Bayesian machine learning to deep learning
  • Learn about the “transpose convolution”


www.udemy.com/course/deep-reinforcement-learning-in-python/?referralCode=1FE6DB1ECC128417A7F1 (*)

  • Learn how we got from classical reinforcement learning to deep reinforcement learning and why it’s nontrivial
  • Play OpenAI Gym environments such as CartPole and Atari
  • Learn the “tricks” of DQN and A3C and how they improve classical RL approaches

www.udemy.com/course/data-science-linear-regression-in-python/?referralCode=A6A896C0AC0F14D7872D

  • Learn about the most fundamental of machine learning algorithms: linear regression
  • Believe it or not, this gets you MOST of the way there to understanding deep learning

 

www.udemy.com/course/data-science-logistic-regression-in-python/?referralCode=273355008B7AA8360E36

  • After learning about linear regression, see how a similar model (logistic regression) can be used for classification
  • Importantly, understand how and why this is a model of the “neuron” (and because of that, we can use it to build neural networks)

www.udemy.com/course/data-science-deep-learning-in-python/?referralCode=4B846F3BB454BE9DDB7F

  • Learn IN-DEPTH the theory behind artificial neural networks (ANNs)
  • This is THE fundamental course for understanding what deep learning is doing, from ANNs to CNNs to RNNs to GANs and beyond

www.udemy.com/course/data-science-natural-language-processing-in-python/?referralCode=1605639AC0DEFC0A44CB

  • Learn how to apply machine learning to NLP tasks, such as: spam detection, sentiment analysis, article spinning, and latent semantic analysis
  • Learn how to preprocess text for use in a ML algorithm
  • Learn about the classic NLTK library

www.udemy.com/course/data-science-deep-learning-in-theano-tensorflow/?referralCode=1AF84E4E63D850617F0E

  • Learn how we went from the fundamental ANNs to many of the key technologies we use today, such as:
  • Batch / stochastic gradient descent instead of full gradient descent
  • (Nesterov) momentum, RMSprop, Adam, and other adaptive learning rate techniques
  • Dropout regularization
  • Batch normalization
  • Learn how deep learning is accelerated by GPUs (and how to set one up yourself)
  • Learn how deep learning libraries improve the development process with GPUs (faster training) and automatic differentiation (so you don’t have to write the code or derive the math yourself)

 

www.udemy.com/course/sql-for-marketers-data-analytics-data-science-big-data/?referralCode=F664E44E42037CB0491F

  • Learn the fundamentals of the SQL language and how to apply it to data
  • Practice for job interviews by going through several interview-style questions

 

www.udemy.com/course/deep-learning-convolutional-neural-networks-theano-tensorflow/?referralCode=09CFE3EECB330B7F1FCC

  • Go from ANNs to CNNs
  • Learn about the all important “convolution” operation in-depth
  • Implement convolution yourself (no other course does this!)
  • Design principles for CNNs and why they specialize to work with images

 

 

www.udemy.com/course/deep-learning-recurrent-neural-networks-in-python/?referralCode=C4A5301EF4FAE5255D51

  • Learn how Deep Learning handles sequences of data (like DNA, text processing, etc.)
  • Learn the limitations of a naive (simple) RNN
  • How to extend / improve RNNs with GRUs and LSTMs
  • Build GRUs and LSTMs by yourself (not just calling some library function)

 


www.udemy.com/course/natural-language-processing-with-deep-learning-in-python/?referralCode=78A60E6BD16F3A656EA7 (*)

  • Apply deep learning to natural language processing (NLP)
  • Covers the famous word2vec and GloVe algorithms
  • See how RNNs apply to text problems
  • Learn about a neural network structured like a “tree” which we call recursive neural networks and a more powerful version: recursive neural tensor networks (RNTNs)

 


www.udemy.com/course/data-science-supervised-machine-learning-in-python/?referralCode=14513C7EEDFDF1EBD49F (*)

  • Covers classic machine learning algorithms which EVERY student of machine learning should know (AND be able to implement)
  • K-Nearest Neighbor (KNN), Naive Bayes and non-Naive Bayes Classifiers, the Perceptron, and Decision Trees
  • Learn how to build a machine learning web service using Python server frameworks

 

www.udemy.com/course/bayesian-machine-learning-in-python-ab-testing/?referralCode=8312098927EDB63AF429

  • Learn how Bayesian machine learning differs from traditional machine learning
  • We focus mostly on “comparing” multiple things (i.e. A/B Testing)
  • Learn why traditional (frequentist) A/B Testing is limited
  • Learn about adaptive approaches to “choosing the best item”

 


www.udemy.com/course/machine-learning-in-python-random-forest-adaboost/?referralCode=0210246BE75FD01DDF5F (*)

  • Learn how combining multiple machine learning models is better than just one
  • Covers fundamental ensemble approaches such as Random Forest and AdaBoost
  • Learn/derive the famous “bias-variance tradeoff” (most people can only discuss it at a high level, you will learn what it really means)
  • Learn about the difference between the “bagging” and “boosting” approaches

 

 

Remember, this is a very rare sale (only once per year!). If there’s anything you want or if you are on the fence and think you might be interested, get it NOW so that you don’t miss out!

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SPECIAL SALE 90% OFF: Avoid public spaces; study Deep Learning

March 3, 2020

virusbanner

Hello deep learning and AI enthusiasts!

As we all know, the near future is somewhat uncertain. With an invisible virus spreading around the world at an alarming rate, some experts have suggested that it may reach a significant portion of the population.

Schools may close, you may be ordered to work from home, or you may want to avoid going outside altogether. This is not fiction – it’s already happening.

There will be little warning, and as students of science and technology, we should know how rapidly things can change when we have exponential growth (just look at AI itself).

Have you decided how you will spend your time?

I find moments of quiet self-isolation to be excellent for learning advanced or difficult concepts – particularly those in machine learning and artificial intelligence.

To that end, I’ll be releasing several coupons today – hopefully that helps you out and you’re able to study along with me.

Modern Deep Learning in Python

deep2

https://www.udemy.com/course/data-science-deep-learning-in-theano-tensorflow/?couponCode=MAR2020

Despite the fact that I just released a huge course on Tensorflow 2, this course is more relevant than ever. You might take a course that uses batch norm, adam optimization, dropout, batch gradient descent, etc. without any clue how they work. Perhaps, like me, you find doing “batch norm in 1 line of code” to be unsatisfactory. What’s really going on?

And yes, although it was originally designed for Tensorflow 1 and Theano, everything has been done in Tensorflow 2 as well (you’ll see what I mean).

Cutting-Edge AI: Deep Reinforcement Learning in Python

rl3

https://www.udemy.com/course/cutting-edge-artificial-intelligence/?couponCode=MAR2020
Learn about awesome algorithms such as A2C, DDPG, and Evolution Strategies (ES). This course continues where my first Deep Reinforcement Learning course left off and is the third course in my Reinforcement Learning series.

Support Vector Machines

svm

https://www.udemy.com/course/support-vector-machines-in-python/?couponCode=MAR2020

A lot of people think SVMs are obsolete. Wrong! A lot of you students want a nice “plug-and-play” model that works well out of the box. Guess what one of the best models is for that? SVM!

Many of the concepts from SVMs are extremely useful today – like quadratic programming (used for portfolio optimization) and constrained optimization.

Constrained optimization appears in modern Reinforcement Learning, for you non-believers (see: TRPO, PPO).

 

GANs and Variational Autoencoders

gan

https://www.udemy.com/course/deep-learning-gans-and-variational-autoencoders/?couponCode=MAR2020

Well, I don’t need to tell you how popular GANs are. They sparked a mini-revolution in deep learning with the ability to generate photo-realistic images, create music, and enhance low-resolution photos.

Variational autoencoders are a great (but often forgotten by those beginner courses) tool for understanding and generating data (much like GANs) from a principled, probabilistic viewpoint.

Ever seen those cool illustrations where they can change a picture of a person from smiling to frowning on a continuum? That’s VAEs in action!

 

Supervised Machine Learning in Python

super

https://www.udemy.com/course/data-science-supervised-machine-learning-in-python/?couponCode=MAR2020

This is one of my favorite courses. Every beginner ML course these days teaches you how to plug into scikit-learn.

This is trivial. Everyone can do this. Nobody will give you a job just because you can write 3 lines of code when there are 1000s of others lining up beside you who know just as much.

It’s so trivial I teach it for FREE.

That’s why, in this course (a real ML course), I teach you how to not just use, but implement each of the algorithms (the fundamental supervised models).

At the same time, I haven’t forgotten about the “practical” aspect of ML, so I also teach you how to build a web API to serve your trained model.

This is the eventual place where many of your machine learning models will end up. What? Did you think you would just write a script that prints your accuracy and then call it a day? Who’s going to use your model?

The answer is, you’re probably going to serve it (over a server, duh) using a web server framework, such as Django, Flask, Tornado, etc.

Never written your own backend web server application before? I’ll show you how.
Alright, that’s all from me. Stay safe out there folks!

Note: these coupons will last 31 days – don’t wait!

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Deep Learning Spring Sale! Udemy Coupons $10.99

April 11, 2018

ALL Courses on Udemy $10.99

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.

linear

https://www.udemy.com/data-science-linear-regression-in-python/?couponCode=APR2018

log

https://www.udemy.com/data-science-logistic-regression-in-python/?couponCode=APR2018

deep1

https://www.udemy.com/data-science-deep-learning-in-python/?couponCode=APR2018

nlp

https://www.udemy.com/data-science-natural-language-processing-in-python/?couponCode=APR2018

deep2
https://www.udemy.com/data-science-deep-learning-in-theano-tensorflow/?couponCode=APR2018

sql

https://www.udemy.com/sql-for-marketers-data-analytics-data-science-big-data/?couponCode=APR2018

cnn

https://www.udemy.com/deep-learning-convolutional-neural-networks-theano-tensorflow/?couponCode=APR2018

cluster

https://www.udemy.com/cluster-analysis-unsupervised-machine-learning-python/?couponCode=APR2018

udeep

https://www.udemy.com/unsupervised-deep-learning-in-python/?couponCode=APR2018

hmm

https://www.udemy.com/unsupervised-machine-learning-hidden-markov-models-in-python/?couponCode=APR2018

rnn

https://www.udemy.com/deep-learning-recurrent-neural-networks-in-python/?couponCode=APR2018

deepnlp

https://www.udemy.com/natural-language-processing-with-deep-learning-in-python/?couponCode=APR2018

super

https://www.udemy.com/data-science-supervised-machine-learning-in-python/?couponCode=APR2018

bayes

https://www.udemy.com/bayesian-machine-learning-in-python-ab-testing/?couponCode=APR2018

ensemble

https://www.udemy.com/machine-learning-in-python-random-forest-adaboost/?couponCode=APR2018

rl

https://www.udemy.com/artificial-intelligence-reinforcement-learning-in-python/?couponCode=APR2018

deeprl

https://www.udemy.com/deep-reinforcement-learning-in-python/?couponCode=APR2018

gan

https://www.udemy.com/deep-learning-gans-and-variational-autoencoders/?couponCode=APR2018

cvhttps://www.udemy.com/advanced-computer-vision/?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
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:
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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Deep Learning BLACK FRIDAY SALE – Everything $10

November 16, 2017

A lot of you have been asking me… “When is the $10 sale coming back?”

And as you know, I share the news as soon as I find out – so here it is.

Black Friday is THE BIGGEST SALE OF THE YEAR.

This is the lowest price possible on Udemy.

I always make sure to mention to everyone: grab everything while you can because we just don’t know when the next big sale is going to be!

Don’t get stuck for months wondering… “When is the next $10 sale coming back?” Just get everything now! (Even if you don’t plan on taking the course for some time.)

Enough babbling, let’s get to the coupons. Remember: there’s no need to type in the coupon code manually – I’ve already provided the links so all you need to do is click and add to cart!

But just in case you’re curious – the coupon code is BLACKFRIDAY2017.

Also, make sure you scroll down to the bottom for some important updates.

linear

https://www.udemy.com/data-science-linear-regression-in-python/?couponCode=BLACKFRIDAY2017

log

https://www.udemy.com/data-science-logistic-regression-in-python/?couponCode=BLACKFRIDAY2017

 

deep1

https://www.udemy.com/data-science-deep-learning-in-python/?couponCode=BLACKFRIDAY2017

 

nlp

https://www.udemy.com/data-science-natural-language-processing-in-python/?couponCode=BLACKFRIDAY2017

 

deep2

https://www.udemy.com/data-science-deep-learning-in-theano-tensorflow/?couponCode=BLACKFRIDAY2017

 

sql

https://www.udemy.com/sql-for-marketers-data-analytics-data-science-big-data/?couponCode=BLACKFRIDAY2017

 

cnn

https://www.udemy.com/deep-learning-convolutional-neural-networks-theano-tensorflow/?couponCode=BLACKFRIDAY2017

 

cluster

https://www.udemy.com/cluster-analysis-unsupervised-machine-learning-python/?couponCode=BLACKFRIDAY2017

 

udeep

https://www.udemy.com/unsupervised-deep-learning-in-python/?couponCode=BLACKFRIDAY2017

 

hmm

https://www.udemy.com/unsupervised-machine-learning-hidden-markov-models-in-python/?couponCode=BLACKFRIDAY2017

 

rnn

https://www.udemy.com/deep-learning-recurrent-neural-networks-in-python/?couponCode=BLACKFRIDAY2017

 

deepnlp

https://www.udemy.com/natural-language-processing-with-deep-learning-in-python/?couponCode=BLACKFRIDAY2017

 

super

https://www.udemy.com/data-science-supervised-machine-learning-in-python/?couponCode=BLACKFRIDAY2017

 

bayes

https://www.udemy.com/bayesian-machine-learning-in-python-ab-testing/?couponCode=BLACKFRIDAY2017

 

ensemble

https://www.udemy.com/machine-learning-in-python-random-forest-adaboost/?couponCode=BLACKFRIDAY2017

 

rl

https://www.udemy.com/artificial-intelligence-reinforcement-learning-in-python/?couponCode=BLACKFRIDAY2017

 

deeprl

https://www.udemy.com/deep-reinforcement-learning-in-python/?couponCode=BLACKFRIDAY2017

 

gan

https://www.udemy.com/deep-learning-gans-and-variational-autoencoders/?couponCode=BLACKFRIDAY2017

 

 

 

MODERN DEEP LEARNING IN PYTHON VIP VERSION

In my last post, I relaunched my course “Modern Deep Learning in Python” which has more than doubled in size since its inception. Along with this re-release I offered a special VIP version of the course where you get a free 28-page tutorial on Tensorflow’s new Estimator API.

As mentioned, this deal is not going to last. In fact, 24 hours from now, it will be GONE FOREVER. Remember: you MUST use the VIP coupon to get the VIP material.

 

 

PREREQUISITE COURSE COUPONS

And just as important, $10 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!

And I’ve got sales for everything:

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!
Remember, these links will self-destruct on November 28 (13 days). Act NOW!

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$10 Deep Learning Courses (+more) July Special part 2!

July 24, 2017

Since I am still busy hacking away at my next course, we are going to do another HUGE sale. ALL courses on Udemy are now $10. Take this opportunity to grab as many courses as you can because you never know when the next sale is going to be!

As usual, I’m providing $10 coupons for all my courses in the links below. Please use these links and share them with your friends!

You can also just type in the coupon code “JUL456”.

The $10 promo doesn’t come around often, so make sure you pick up everything you are interested in, or could become interested in later this year. The promo goes until July 31. Don’t wait!

At the end of this post, I’m going to provide you with some additional links to get machine learning prerequisites (calculus, linear algebra, Python, etc…) for $10 too!

If you don’t know what order to take the courses in, please check here: https://deeplearningcourses.com/course_order
Here are the links for my courses:

Deep Learning Prerequisites: Linear Regression in Python
https://www.udemy.com/data-science-linear-regression-in-python/?couponCode=JUL456

Deep Learning Prerequisites: Logistic Regression in Python
https://www.udemy.com/data-science-logistic-regression-in-python/?couponCode=JUL456

Deep Learning in Python
https://www.udemy.com/data-science-deep-learning-in-python/?couponCode=JUL456

Practical Deep Learning in Theano and TensorFlow
https://www.udemy.com/data-science-deep-learning-in-theano-tensorflow/?couponCode=JUL456

Deep Learning: Convolutional Neural Networks in Python
https://www.udemy.com/deep-learning-convolutional-neural-networks-theano-tensorflow/?couponCode=JUL456

Unsupervised Deep Learning in Python
https://www.udemy.com/unsupervised-deep-learning-in-python/?couponCode=JUL456

Deep Learning: Recurrent Neural Networks in Python
https://www.udemy.com/deep-learning-recurrent-neural-networks-in-python/?couponCode=JUL456

Advanced Natural Language Processing: Deep Learning in Python
https://www.udemy.com/natural-language-processing-with-deep-learning-in-python/?couponCode=JUL456

Advanced AI: Deep Reinforcement Learning in Python
https://www.udemy.com/deep-reinforcement-learning-in-python/?couponCode=JUL456

Easy Natural Language Processing in Python
https://www.udemy.com/data-science-natural-language-processing-in-python/?couponCode=JUL456

Cluster Analysis and Unsupervised Machine Learning in Python
https://www.udemy.com/cluster-analysis-unsupervised-machine-learning-python/?couponCode=JUL456

Unsupervised Machine Learning: Hidden Markov Models in Python
https://www.udemy.com/unsupervised-machine-learning-hidden-markov-models-in-python/?couponCode=JUL456

Data Science: Supervised Machine Learning in Python
https://www.udemy.com/data-science-supervised-machine-learning-in-python/?couponCode=JUL456

Bayesian Machine Learning in Python: A/B Testing
https://www.udemy.com/bayesian-machine-learning-in-python-ab-testing/?couponCode=JUL456

Ensemble Machine Learning in Python: Random Forest and AdaBoost
https://www.udemy.com/machine-learning-in-python-random-forest-adaboost/?couponCode=JUL456

Artificial Intelligence: Reinforcement Learning in Python
https://www.udemy.com/artificial-intelligence-reinforcement-learning-in-python/?couponCode=JUL456

SQL for Newbs and Marketers
https://www.udemy.com/sql-for-marketers-data-analytics-data-science-big-data/?couponCode=JUL456

PREREQUISITE COURSE COUPONS

And last but not least, $10 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!

And I’ve got sales for everything:

iOS
Android
Ruby on Rails
Python
Big Data (Spark, Hadoop)
Javascript, ReactJS, AngularJS

Remember, these links will self-destruct on July 31 (7 days). Act NOW!

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Udemy $10 coupons April 2017

April 6, 2017

Today, Udemy has decided to do yet another AMAZING $10 promo.

As usual, I’m providing $10 coupons for all my courses in the links below. Please use these links and share them with your friends!

The $10 promo doesn’t come around often, so make sure you pick up everything you are interested in, or could become interested in later this year. The promo goes until April 12. Don’t wait!

At the end of this post, I’m going to provide you with some additional links to get machine learning prerequisites (calculus, linear algebra, Python, etc…) for $10 too!

If you don’t know what order to take the courses in, please check here: https://deeplearningcourses.com/course_order

Here are the links for my courses:

Deep Learning Prerequisites: Linear Regression in Python
https://www.udemy.com/data-science-linear-regression-in-python/?couponCode=APR123

Deep Learning Prerequisites: Logistic Regression in Python
https://www.udemy.com/data-science-logistic-regression-in-python/?couponCode=APR123

Deep Learning in Python
https://www.udemy.com/data-science-deep-learning-in-python/?couponCode=APR123

Practical Deep Learning in Theano and TensorFlow
https://www.udemy.com/data-science-deep-learning-in-theano-tensorflow/?couponCode=APR123

Deep Learning: Convolutional Neural Networks in Python
https://www.udemy.com/deep-learning-convolutional-neural-networks-theano-tensorflow/?couponCode=APR123

Unsupervised Deep Learning in Python
https://www.udemy.com/unsupervised-deep-learning-in-python/?couponCode=APR123

Deep Learning: Recurrent Neural Networks in Python
https://www.udemy.com/deep-learning-recurrent-neural-networks-in-python/?couponCode=APR123

Advanced Natural Language Processing: Deep Learning in Python
https://www.udemy.com/natural-language-processing-with-deep-learning-in-python/?couponCode=APR123

Advanced AI: Deep Reinforcement Learning in Python
https://www.udemy.com/deep-reinforcement-learning-in-python/?couponCode=APR123

Easy Natural Language Processing in Python
https://www.udemy.com/data-science-natural-language-processing-in-python/?couponCode=APR123

Cluster Analysis and Unsupervised Machine Learning in Python
https://www.udemy.com/cluster-analysis-unsupervised-machine-learning-python/?couponCode=APR123

Unsupervised Machine Learning: Hidden Markov Models in Python
https://www.udemy.com/unsupervised-machine-learning-hidden-markov-models-in-python/?couponCode=APR123

Data Science: Supervised Machine Learning in Python
https://www.udemy.com/data-science-supervised-machine-learning-in-python/?couponCode=APR123

Bayesian Machine Learning in Python: A/B Testing
https://www.udemy.com/bayesian-machine-learning-in-python-ab-testing/?couponCode=APR123

Ensemble Machine Learning in Python: Random Forest and AdaBoost
https://www.udemy.com/machine-learning-in-python-random-forest-adaboost/?couponCode=APR123

Artificial Intelligence: Reinforcement Learning in Python
https://www.udemy.com/artificial-intelligence-reinforcement-learning-in-python/?couponCode=APR123

SQL for Newbs and Marketers
https://www.udemy.com/sql-for-marketers-data-analytics-data-science-big-data/?couponCode=APR123

And last but not least, $10 coupons for some helpful prerequisite courses. You NEED to know this stuff before you study machine learning:

General (Site-wide coupon): http://bit.ly/2p3jHI8
Python http://bit.ly/2nMqqGg
Calc 1 http://bit.ly/2oLayo8
Calc 2 http://bit.ly/2ocifGm
Calc 3 http://bit.ly/2ocaNeo
Linalg 1 http://bit.ly/2ocf4hO
Linalg 2 http://bit.ly/2och8q2
Probability (option 1) http://bit.ly/2nZy4hy
Probability (option 2) http://bit.ly/2nZN4vI
Probability (option 3) http://bit.ly/2oLkY7A
Probability (option 4) http://bit.ly/2o57IMG

Remember, this post will self-destruct on April 12 (7 days). Act NOW!

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New course! Deep Reinforcement Learning in Python

March 27, 2017

1153742_e649

Who’s ready for Deep Reinforcement Learning!!!???

Ever since I included this topic in my lecture called “Where does this course fit into my deep learning studies?”, people have been asking me about when my Deep Reinforcement Learning course is coming out.

Well, it’s out right now!

This course continues from where my last course, “Artificial Intelligence: Reinforcement Learning in Python”, left off.

In particular, we are going to be applying different kinds of neural networks to reinforcement learning, and also deepening our knowing of the RL algorithms we already learned about.

Of course, I’m going to link this with an early bird coupon. Get it now before they run out!

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

But… that’s not all.

Today, Udemy has decided to do yet another AMAZING $10 promo.

As usual, I’m providing $10 coupons for all my courses in the links below. Please use these links and share them with your friends!

The $10 promo doesn’t come around often, so make sure you pick up everything you are interested in, or could become interested in later this year. The promo goes until the end of the month. Don’t wait!

At the end of this newsletter, I’m going to provide you with some additional links to get machine learning prerequisites (calculus, linear algebra, Python, etc…) for $10 too!

Here are the links for my courses:

Deep Learning Prerequisites: Linear Regression in Python

https://www.udemy.com/data-science-linear-regression-in-python/?couponCode=MAR456

Deep Learning Prerequisites: Logistic Regression in Python

https://www.udemy.com/data-science-logistic-regression-in-python/?couponCode=MAR456

Deep Learning in Python

https://www.udemy.com/data-science-deep-learning-in-python/?couponCode=MAR456

Practical Deep Learning in Theano and TensorFlow

https://www.udemy.com/data-science-deep-learning-in-theano-tensorflow/?couponCode=MAR456

Deep Learning: Convolutional Neural Networks in Python

https://www.udemy.com/deep-learning-convolutional-neural-networks-theano-tensorflow/?couponCode=MAR456

Unsupervised Deep Learning in Python

https://www.udemy.com/unsupervised-deep-learning-in-python/?couponCode=MAR456

Deep Learning: Recurrent Neural Networks in Python

https://www.udemy.com/deep-learning-recurrent-neural-networks-in-python/?couponCode=MAR456

Advanced Natural Language Processing: Deep Learning in Python

https://www.udemy.com/natural-language-processing-with-deep-learning-in-python/?couponCode=MAR456

Easy Natural Language Processing in Python

https://www.udemy.com/data-science-natural-language-processing-in-python/?couponCode=MAR456

Cluster Analysis and Unsupervised Machine Learning in Python

https://www.udemy.com/cluster-analysis-unsupervised-machine-learning-python/?couponCode=MAR456

Unsupervised Machine Learning: Hidden Markov Models in Python

https://www.udemy.com/unsupervised-machine-learning-hidden-markov-models-in-python/?couponCode=MAR456

Data Science: Supervised Machine Learning in Python

https://www.udemy.com/data-science-supervised-machine-learning-in-python/?couponCode=MAR456

Bayesian Machine Learning in Python: A/B Testing

https://www.udemy.com/bayesian-machine-learning-in-python-ab-testing/?couponCode=MAR456

Ensemble Machine Learning in Python: Random Forest and AdaBoost

https://www.udemy.com/machine-learning-in-python-random-forest-adaboost/?couponCode=MAR456

Artificial Intelligence: Reinforcement Learning in Python

https://www.udemy.com/artificial-intelligence-reinforcement-learning-in-python/?couponCode=MAR456

SQL for Newbs and Marketers

https://www.udemy.com/sql-for-marketers-data-analytics-data-science-big-data/?couponCode=MAR456

And last but not least, $10 coupons for some helpful prerequisite courses. You NEED to know this stuff before you study machine learning:

General (Site-wide coupon): http://bit.ly/2nYDImE

Python http://bit.ly/2nYGMiP

Calc 1 http://bit.ly/2nVPjT9

Calc 2 http://bit.ly/2mGwu6t

Calc 3 http://bit.ly/2n7LsOg

Linalg 1 http://bit.ly/2nlTNQn

Linalg 2 http://bit.ly/2nr5Ugy

Probability (option 1) http://bit.ly/2nDQENW

Probability (option 2) http://bit.ly/2n8HENz

Probability (option 3) http://bit.ly/2o7OfJd

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

P.S. I’ll be adding content to my Deep RL course in the coming days / weeks. Look for it to increase in length by 25-50%.

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New course! Reinforcement Learning in Python

January 27, 2017

il_fullxfull.125530674

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!!

COUPON:

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

#artificial intelligence #deep learning #reinforcement learning

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New Years Udemy Coupons! All Udemy Courses only $10

January 1, 2017

Act fast! These $10 Udemy Coupons expire in 10 days.

Ensemble Machine Learning: Random Forest and AdaBoost

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

Deep Learning Prerequisites: Linear Regression in Python

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

Deep Learning Prerequisites: Logistic Regression in Python

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

Deep Learning in Python

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

Practical Deep Learning in Theano and TensorFlow

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

Deep Learning: Convolutional Neural Networks in Python

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

Unsupervised Deep Learning in Python

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

Deep Learning: Recurrent Neural Networks in Python

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

Advanced Natural Language Processing: Deep Learning in Python

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

Easy Natural Language Processing in Python

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

Cluster Analysis and Unsupervised Machine Learning in Python

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

Unsupervised Machine Learning: Hidden Markov Models in Python

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

Data Science: Supervised Machine Learning in Python

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

Bayesian Machine Learning in Python: A/B Testing

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

SQL for Newbs and Marketers

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

How to get ANY course on Udemy for $10 (please use my coupons above for my courses):

Click here for a link to all courses on the site: http://bit.ly/2iVkMTx

Click here for a great calculus prerequisite course: http://bit.ly/2iwKpt2

Click here for a great Python prerequisite course: http://bit.ly/2iwQENC

Click here for a great linear algebra 1 prerequisite course: http://bit.ly/2hHoLTn

Click here for a great linear algebra 2 prerequisite course: http://bit.ly/2isjr3z

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Udemy Blowout! ANY course for $10 (not just mine)

October 27, 2016

Udemy brings the good news to me, and I bring it to you.

From Oct 26, 2016 at 11:59PM until November 1 at at 6:00AM (PST), all courses on Udemy will be only $10 if you click the link below:

http://bit.ly/2exC0Db

Enjoy!

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