Machine Learning Mastery Super Bundle

Your progress in applied machine learning is limited by the systematic processes you follow and the tools you choose.

You Get:

Linear Algebra for Machine Learning
Statistical Methods for Machine Learning
Probability for Machine Learning
Optimization for Machine Learning
Master Machine Learning Algorithms
Machine Learning Algorithms From Scratch
Machine Learning Mastery With Weka
Machine Learning Mastery With Python
Machine Learning Mastery With R
Data Preparation for Machine Learning
Imbalanced Classification With Python
Time Series Forecasting With Python
Deep Learning With Python
Deep Learning for Computer Vision
Deep Learning for Natural Language Processing
Deep Learning for Time Series Forecasting
Generative Adversarial Networks with Python
LSTM Networks with Python
Better Deep Learning
XGBoost With Python
Ensemble Learning Algorithms With Python
Calculus for Machine Learning
Python for Machine Learning
Building Transformer Models with Attention
Deep Learning with PyTorch
Maximizing Productivity with ChatGPT
The Beginner’s Guide to Data Science
Mastering Digital Art with Stable Diffusion
Next-Level Data Science

About The Author

Hi, I’m Jason Brownlee. I run this site and I wrote and published this book.

I live in Australia with my wife and sons. I love to read books, write tutorials, and develop systems.

I have a computer science and software engineering background as well as Masters and PhD degrees in Artificial Intelligence with a focus on stochastic optimization.

I’ve written books on algorithms, won and ranked well in competitions, consulted for startups, and spent years in industry. (Yes, I have spend a long time building and maintaining REAL operational systems!)

I get a lot of satisfaction helping developers get started and get really good at applied machine learning.

I teach an unconventional top-down and results-first approach to machine learning where we start by working through tutorials and problems, then later wade into theory as we need it.

I’m here to help if you ever have any questions. I want you to be awesome at machine learning.

What Are Skills in Machine Learning Worth?

Your boss asks you:

Hey, can you build a predictive model for this?

Imagine you had the skills and confidence to say:
“YES!”
…and follow through.

I have been there. It feels great!

How much is that worth to you?

The industry is demanding skills in machine learning.
The market wants people that can deliver results, not write academic papers.

Business knows what these skills are worth and are paying sky-high starting salaries.

A Data Scientists Salary Begins at:
$100,000 to $150,000.
A Machine Learning Engineers Salary is Even Higher.

What Are Your Alternatives?

You made it this far.
You’re ready to take action.

But, what are your alternatives? What options are there?

(1) A Theoretical Textbook for $100+
…it’s boring, math-heavy and you’ll probably never finish it.

(2) An On-site Boot Camp for $10,000+
…it’s full of young kids, you must travel and it can take months.

(3) A Higher Degree for $100,000+
…it’s expensive, takes years, and you’ll be an academic.

OR…

For the Hands-On Skills You Get…
And the Speed of Results You See…
And the Low Price You Pay…

Machine Learning Mastery Ebooks are
Amazing Value!

And they work. That’s why I offer the money-back guarantee.

You’re A Professional

The field moves quickly,
…how long can you wait?

You think you have all the time in the world, but…

New methods are devised and algorithms change.
New books get released and prices increase.
New graduates come along and jobs get filled.

Right Now is the Best Time to make your start.

Bottom-up is Slow and Frustrating,
…don’t you want a faster way?

Can you really go on another day, week or month…

Scraping ideas and code from incomplete posts.
Skimming theory and insight from short videos.
Parsing Greek letters from academic textbooks.

Targeted Training is your Shortest Path to a result.

Professionals Stay On Top Of Their Field
Get The Training You Need!

You don’t want to fall behind or miss the opportunity.

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