And why it’s worth it.
It seems like there are a million and one machine learning courses out there, but we only have 24 hours in a day, so what should you focus your time on?
There’s really no right or wrong answer, but you want to make sure that you’re learning from the best. At this point, Google is practically an AI company, as they’re serving AI-powered applications to billions of people. Google has also released their own online machine learning crash course.
The free crash course features 30+ exercises, 25 lessons, 15 hours of content, lectures from Google researchers, real-world case studies, interactive visualizations, and more.
While you don’t need these skills to deploy AI, given no-code AI tools like Obviously.AI, this course can be useful if you want to dive deeper into theory later on.
Google-owned YouTube uses Deep Neural Networks, a form of AI, to recommend videos to over 2 billion users. Google Search services an even bigger user base with AI-driven search results.
Google runs a wide range of AI projects, including TensorFlow, AdaNet, Deepmind, Open Images Database, and many more.
