As a marketer, it can sometimes seem like the work my engineering colleagues are doing is magic -- pure computer science sorcery. I mean, they're building a chatbot that can communicate using human language and learn from the conversations it's having. AI can be a tough topic to wrap your head around. And with all of the various branches -- Machine Learning, deep learning, natural language processing -- it's not a topic that you can hope to master by reading a single blog post. So the purpose of this post isn't to provide you with an exhaustive, engineering-degree-level understanding of AI.

Any sufficiently advanced technology is indistinguishable from magic – Arthur C. Clarke As a marketer, it can sometimes seem like the work my engineering colleagues are doing is magic -- pure computer science sorcery. I mean, they're building a chatbot that can communicate using human language and learn from the conversations it's having. AI can be a tough topic to wrap your head around. And with all of the various branches -- machine learning, deep learning, natural language processing -- it's not a topic that you can hope to master by reading a single blog post. So the purpose of this post isn't to provide you with an exhaustive, engineering-degree-level understanding of AI.

As a marketer, it can sometimes seem like the work my engineering colleagues are doing is magic -- pure computer science sorcery. I mean, they're building a chatbot that can communicate using human language and learn from the conversations it's having. AI can be a tough topic to wrap your head around. And with all of the various branches -- machine learning, deep learning, natural language processing -- it's not a topic that you can hope to master by reading a single blog post. So the purpose of this post isn't to provide you with an exhaustive, engineering-degree-level understanding of AI.

And while computer scientists have tried to simply program computers to speak and understand natural language, it has become more and more apparent that learning a language is the only way to truly understand it and capture all of the nuances. That's where the machine learning comes into play. NLP is more about a class of problems than a particular method. That being said, nearly all modern NLP solutions use machine learning.)