When it comes to Big Data, these computer science terms are often used interchangeably, but they are not the same thing. While it may sound confusing, it is actually simple to differentiate the terms when you understand how they work together. Here is the difference between AI and Machine Learning
When it comes to Big Data, these computer science terms are often used interchangeably, but they are not the same thing. While it may sound confusing, it is actually simple to differentiate the terms when you understand how they work together.Think of this as exactly what it sounds like, teaching a machine to learn. Machine learning uses programming through a thing called “neural networks.
The important thing to remember with ML is that it can only output what is input based on the large sets of data it is given. It can only check from what knowledge it has been “taught.” If that information is not available, it cannot create an outcome on its own. Therefore ML will go for the solution whether or not it is the most optimal solution.AI can create outcomes on its own and do things that only a human could do.
The goal of AI is to simulate natural intelligence to solve complex problems and increase the chance of success. AI will try and find the most optimal solution. It will use machine learning to reflect on the outcomes and optimize decision making based on observing its surrounding environment. Think of the two as separate but hand in hand. They are both crucial to the future of technology and digital marketing and will be interesting to see how they grow together.
Nicole Martin is the owner of NR Digital Consulting and host of Talk Digital To Me Podcast. She is a journalist and has worked in several industries digital marketing and strategy.Nicole Martin is the owner of NR Digital Consulting and host of Talk Digital To Me Podcast. She has worked in many different industries on customer journeys, website man...
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