Millennials are the new generation, the lost and found generation. They have a new perspective on life, work, and learning: they look for purpose.
There is a ton of good machine learning books around, but it’s hard to find one you want to read and never stop because… they don’t have a purpose, like the education system itself, is completely outdated!
During my short but intense experience as laboratory teacher at the Autonomous University of Barcelona I learned two important lessons from my students (because I always learn in the classes I teach):
- Motivation is more important than results.
- Hard work comes alone when students have a purpose.
These are the two reasons why I decided to write this book. But what is this book? a Machine Learning book just for millennials?
No! Let’s face it. Millennials were born and raised in a difficult environment. Most of them educated to achieve what their parents failed achieving. They were educated for success, but no one tells them anything about failure. So, when failure comes they don’t know how the heck to go out from the well bottom.
In summary, millennials have a lot of problems and no one care for them. Some of them are found in the environment, others are reflective. Despite, all millennials lead lives filled with issues that can be easily changed or fixed not by Machine Learning bur for the way you think when you do Machine Learning.
This book is different from other Machine Learning books since it pretends to be a guide in the learning process of this fashion topic but in a new and fresh manner. This is not a unilateral teaching manner, since part of this book call to the self-dialog and self-analysis. This book also takes into consideration the inner aspects of the students such as the personal purpose, the motivations that move our actions, and the conscious orientation to choose that actions.
Of course, this is not to say that only millennials have problems and only they can use this book. Everybody that was struggling once in its life and knows the anatomy of a problem can benefit from this book. A basic knowledge of math would be helpful, but if you haven’t just take into consideration the math appendices at the end of the chapters.
What will you find in this book? You risk acquiring three things:
|Knowledge of Machine Learning.|
|An efficient way to solve your professional and personal problems from now on.|
|A purpose in life, the universe, and everything.|
I invite you to dive in at the deep end and discover what this book holds for you.