What’s the Difference Between Artificial Intelligence, Machine Learning, and Deep Learning?
As the digital world continues evolving, so does the marketing strategies of businesses all over the globe. Artificial intelligence and its fascinating subgroups play a significant role in search engines, digital assistants, and smart devices throughout the home. As a result, business owners must be able to tell the difference between technologies to use them to their best advantage.
Artificial intelligence (AI) is technology that mimics the human thought process. Machines with AI can be presented with problems, evaluate the information provided, and develop a solution. AI appears in many different industries and has seemingly endless applications. AI can be found in computers, smartphones, self-driving vehicles, healthcare technology, banking software, and yes, even robots.
There’s a distinction made between “weak” and “strong” AI. Weak AI is capable of fulfilling one task only, such as a computer program that can play a game of chess. Strong AI is equipped to make more complex decisions and doesn’t require a human user for assistance. A self-driving vehicle is a type of strong AI.
Machine learning is actually a subgroup of AI. While AI simply performs tasks, machine learning entails an analysis of data, through which insights are gained. The more data provided, the greater the knowledge base of the application becomes.
Machine learning can be found in GPS navigation apps, digital assistants, social media, anti-malware programs, search engines, and many other places. Algorithms are at the heart of the machine learning process, and they can range from simple to complex depending on the specific application.
Like machine learning stems from AI, deep learning was borne out of machine learning. Also called neural networks, deep learning technology is designed to mimic the way the human brain interprets and processes information. Along with being trained to interpret new data, deep learning algorithms are also designed to enhance processing for improved performance as the application learns.
While there is an overlap between the applications of deep learning and machine learning, deep learning is capable of undertaking the most sophisticated tasks. For example, deep learning can handle millions of data points, while machine learning tends only to deal with thousands of data points. Machine learning employs automated algorithms to make decisions, while deep learning processes information using complex neural networks that use a multitude of functions.
Technology moves at a rapid pace and having a trusted guide for your business ensures your marketing approach offers the greatest benefit. SonicSEO.com uses our extensive experience to help clients devise marketing solutions that work. Don’t hesitate to reach out today if you’d like to update your current approach.