Machine learning (ML) is a discipline of Artificial Intelligence. It is based on the ability of systems to learn from data, identify patterns, and enact lessons from that data without human interaction – or with minimal human interaction. Machine learning makes day-to-day and repetitive work much easier! Financial, healthcare, IT, manufacturing, and many other industries have adopted ML technology, and many more soon will.
So, what exactly is machine learning used for? Today’s infographic will answer that question – and discuss its use, advantages, associated career paths, and more. (click the image to view a larger version)
Conclusion: What is Machine Learning?
Artificial intelligence (AI) is a broad science that focuses on mimicking human abilities. Machine learning is an AI subset that specifically trains machines how to learn. While ML has been on the market for some time, usage of machine learning algorithms entered the spotlight in recent years. The ability to apply ML to big data-repeatedly processing information faster and faster-is an even newer development.
So, what is machine learning used for?
Well, we’ve seen its utility in many industries so far, but this is just the beginning. According to Codeburst, “The machine learning market is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period.
The evolution of machine learning is expected to go beyond mere deep learning. In the next decade, ML platforms are expected to incorporate knowledge representation, reasoning, planning, and optimization. Since the evolution of machine learning is expected to bring even more advantages in faster processing, predictions, and recommendations of data – industry leaders see ML together with AI as a top priority for industry investments.
We are excited to follow and report on future developments in AI – especially changes involving Machine Learning!
IT Staffing Trends: What to expect during a recession
Regardless of any potential recession, the fact remains that IT companies need people to continue with daily work and planned projects, especially highly trained, knowledgeable, and skilled IT professionals.
9 IT Staffing Trends in 2022 (Infographic)
The US Bureau of Labor Statistics forecasts a 10.8% increase in overall employment within the year. Meanwhile, in the world of IT, employment is projected to grow by 17.6%. With these stats in mind, we are looking at the top trends in IT staffing.
Robotic Process Automation: Questions to Ask Your Technology Partner
Robotic process automation (RPA) can be a game changer for businesses seeking to reduce the manual effort — and associated costs and resources — required to perform routine, repetitive tasks. The efficiency gains promised by RPA are enticing. Here, we discuss them and how they can help your processes become more efficient.