Data Science for Beginners: 2 Books in 1
- Length: 295 pages
- Edition: 1
- Language: English
- Publication Date: 2020-02-01
- ISBN-10: B084FKFFBM
- Sales Rank: #604092 (See Top 100 Books)
Are you fascinated by Data Science but it seems too complicated?
Do you want to learn everything about Artificial Intelligence but it looks like it is an exclusive club?
If this is you, please keep reading: you are in the right place, looking at the right book.
SInce you are reading these lines you have probably already noticed this: Artificial Intelligence is all around you. Your smartphone that suggests you the next word you want to type, your Netflix account that recommends you the series you may like or Spotify’s personalised playlists. This is how machines are learning from you in everyday life. And these examples are only the surface of this technological revolution.
Everyone knows (well, almost everyone) how important Data Science 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 Deep 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.
Either if you want to start your own AI entreprise, to empower your business or to work in the greatest and most innovative companies, Artificial Intelligence is the future, and Python and Neural Networks programming is The Skill you want to have.
The good news is that there is no exclusive club, you can easily (if you commit, of course) learn how to find your way around Artificial Intelligence, Data Science, Deep Learning and Machine Learning, and to do that Data Science for Beginners is the best way.
In Data Science for Beginners you will discover:
- The most effective starting points when training deep neural nets
- The smartest way to approach Machine Learning
- What libraries are and which one is the best for you
- Tips and tricks for a smooth and painless journey into artificial intelligence
- Why decision tree is the way
- The TensorFlow parts that are going to make your coding life easy
- Why python is the best language for Machine Learning
- How to bring your ideas into a computer
- How to talk with deep neural networks
- How to deal with variables and data
- The most common myths about Machine Learning debunked
Even If you don’t know anything about programming, understanding Data Science is the ideal place to start.
Still, if you already know something about programming but not about how to apply it to Artificial Intelligence, Data Science is what you want to understand.