Ian Bat

Computer programming is hard and incomprehensible, right? Wrong!

If you have always been fascinated by programming for artificial intelligence and computer interfaces but it always seemed to you like something too hard to learn...you are in the right place, looking at the right book. So, please keep reading.

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: 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
 • Debunk the most common myths about machine learning
 • Understand the elements of Python you will actually need
 • And much more...

Most users see a computer at the front and use the graphical user interfaces. The first time I used a computer, it intrigued me to know how these interfaces work. In this audiobook, you’ll learn the same way I did

Brynn Flemming

Computer Science Beginners Course 2

Computer Science 2.0 Beginners Crash Course - Python, Javascript, Cyber Security And Algorithms: AI,programming,advance technology,matrix ,data analysis

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