2018 is the year you finally crush your New Year’s resolution and learn to code.
Start off 2018 on the right foot by learning how to code. If you pledge for this Kickstarter you will not only learn to code, you will learn how to build machine learning models from scratch. This bundle of courses is a must have if you want to keep your skills and knowledge relevant in today’s fast moving world.
This year is your year. Crush your New Year’s resolution by pledging today. There are limited seats so don’t miss out!
Self-driving cars. Artificial intelligence. Genomics. And you.
What do these have in common? They use machine learning, the technology shaping our future. Machine learning isn’t a magical concept exclusive to top-level researchers – you can learn it, too!
Machine learning is changing the world around us. It’s bringing us self-driving cars, facial recognition and artificial intelligence. ML began on computers, but the next big wave is machine learning for mobile. Have you ever thought: why can’t my mobile device do more?
We from Mammoth Interactive are here to tell you that your Android and iOS apps can become smarter, stronger and more convenient thanks to machine learning. Better yet, we’ll show you how to build your very own intelligent software that grows with you.
Pledge today to get a massive online course on machine learning (ML), a subfield of Artificial Intelligence (AI) on how computers learn from experience to improve how they react in the future.
Anyone – yes, including you – can learn to create data analysis that allows computers to learn from data and get smarter without extra programming.
Who is this for?
If you want to build sophisticated and intelligent mobile apps or simply want to know more about how machine learning works in a mobile environment, this course is for you.
No prior knowledge is required. We will teach you all you need to know about the languages, software and technologies we use. If you have lots of experience building machine learning apps, you may find this course a little slow because it’s designed for beginners.