If you’ve spent any amount of time on the internet over the past year or so, you’ve inevitably come across the terms machine learning/artificial intelligence and deep learning. In many instances, these buzzwords are being used interchangeably, which has ultimately caused some misunderstandings – particularly for those who are not familiar with the data science sector. With so many different terminologies being tossed around, it’s easy to get confused. To clarify things a bit, let’s delve into some of the key differences between these emerging technologies.
How Machine Learning and Deep Learning are Related
Ever used the online chat feature of a website? Chances are you were actually interacting with an intelligent chatbot as opposed to a live human. AI chatbots are powered by machine learning algorithms and capable of recognizing names, understanding language and more. The more real-world data that is fed to these bots, the more feedback they produce. Over time, this advanced software actually learns and improves all on its own, based on the patterns it identifies and the results it produces.
Deep learning is a relatively new subset of machine learning that enables more complex analysis of large datasets. This allows for problem-solving like never before. Deep learning algorithms interpret massive amounts of raw data to facilitate better decision-making. Ever wonder how Netflix is so good at suggesting new shows or movies you’d like? That’s all thanks to deep learning algorithms working behind the scenes. And these recommendations have become so accurate that they account for more than 80% of the content being watched.
Artificial Intelligence Applications
You certainly don’t have to look very far to see real-life examples of AI being used in almost every facet of our lives. In fact, global spending on artificial intelligence initiatives is expected to reach an incredible $46 billion as soon as the year 2020. And while some uses of these technologies may be frustratingly complex, the good news is, its use doesn’t necessarily have to be super complicated in order to make a difference. For instance, the simple act of automating a few tedious, manual processes – such as data entry – can have a tremendous impact.
AI for Improved Living
By implementing machine learning and deep learning software, businesses can slash costs, boost productivity and become much more efficient. Once automation begins to take on the bulk of the busywork, human workers are freed up to focus their time, energy and creativity on innovative projects to drive the business forward. For instance, marketing teams can shift their time-consuming administrating tasks to software robots so they can focus on activities that can’t yet be automated, such as relationship-building.
Without question, artificial intelligence is poised to unlock a whole new world of possibilities, both for businesses as well as individuals. Expect these platforms to continue to get smarter, become more accurate and add even more value to our lives over time. The digital revolution – led by AI – may already be underway, but the best is most certainly yet to come. One thing’s for sure – it’s an exciting time to be alive!