Learn how to build chatbots, voice apps, and more machine learning projects
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There’s an unimaginable amount of data out there on the web today, more than any IT team could possibly manage. That’s the real, nuts-and-bolts purpose of machine learning: Enabling AI to do the heavy lifting, sifting through the data to find out what’s important – and valuable. If you’re looking to break into this field, there’s a number of ways in, and the Complete Machine Learning A to Z Bundle covers most of them.
After an overview that allows you to understand AI and deep learning through the innovations of Siri and Tesla’s self-driving cars, you’ll learn the many ways it can be implemented. There are separate courses on how to create chatbots using Google DialogFlow or Amazon Lex, and another on how to build voice apps using Amazon’s popular Alexa device. You’ll get deep dives into the art and science of data analytics with Spark 2.x, plus walkthroughs on the framework of systems like ApacheMXNet and Pytorch.