Publisher's Synopsis
Are you fascinated by Machine Learning but it seems too complicated?Do you have some coding skills but you want to go deeper in Python and Machine Learning?
If this is you, please keep reading: you are in the right place, looking at the right book.
Since you are reading this you are probably aware of how important Artificial Intelligence is in these days.
In your everyday life Artificial Intelligence is all around you. Every time you buy a product on Amazon, follow a new profile on Instagram, listen to a song on Spotify or reserve a room on Booking, they are learning something out of your behavior. And these are just the most visible aspects of how Machine Learning is having an impact on our lives.
Everyone knows (well, almost everyone) how important Machine Learning is for the growth and success of the biggest tech companies, and many people know about the Machine Learning impact in science, medicine and statistics.
Also, it is quite commonly known that Artificial Intelligence, Machine Learning, and the mastering of their most important language, Python, can offer a lot of possibilities in work and business.
And you yourself are probably thinking "I surely can see that opportunity, but how can I seize it?"
Well, if you kept reading so far you are on the right track to answer your question.
In Machine Learning with Python you will find:
- Why python is the best language for Machine Learning
- How to bring your ideas into a computer
- The smartest way to approach Machine Learning
- How to deal with variables and data
- Tips and tricks for a smooth and painless journey into artificial intelligence
- The most common myths about Machine Learning debunked
So, whether you decided to start now or to go deeper into Artificial Intelligence, Machine Learning and Python Programming, you will only have two unanswered questions right now: "what is the best way to do it? And when is the best time to start?"
An easy, clear and complete guide as Machine Learning with Python is the answer to your first question, and about the second one, well, that's an easy one: the best time is NOW!
