Computer Programming: Python - 3 Books in 1: A Crash Course to Go Deep into Artificial Intelligence by Russel R. Russo
English | 2020 | ASIN: B08KGY3V5K | 407 Pages | PDF/EPUB/AZW3/MOBi | 21.9 MB
English | 2020 | ASIN: B08KGY3V5K | 407 Pages | PDF/EPUB/AZW3/MOBi | 21.9 MB
If you are here you surely are well aware of how important Artificial Intelligence is these days.
Just think about your everyday life. 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, these platforms are learning something out of your behavior. Not to mention how AI is changing science and medicine.
Also, it is commonly known that Machine Learning, Neural Networks, and the mastering of their most important language, Python, offer nowadays a lot of chances 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 up your own enterprise, apply your knowledge to your current business, or find a job at the greatest and most innovative companies, Computer Programming: Python will prepare the ground for your future success.
With Computer Programming: Python you will:
Discover why Python is the best language for Machine Learning
Find the smartest way to approach Machine Learning and interact with Python and Neural Networks
Get tips and tricks for a smooth and painless journey into artificial intelligence and prevent you from getting lost in coding
Debunk the most common myths about Machine Learning
Code your first application
Understand the elements of Python you will actually need
Easily find your path among Python data, statements, classes and objects
See how algorithms and Machine Learning will help you making predictions
Learn the smartest way to approach Neural Network Programming
Discover why algorithms are your friends
Learn about The “three Vs” of Big Data (plus two new Vs)
Spot the three most common problems with Neural Networks and how to overcome them