| |July 20199MACHINE CAN LEARN AND ACT ON ITS OWNMachine Learning is about making decision based on trial and error and is a more application oriented version of statisticsYou look at a random attempt, calculate the error made, amend your technique and try for a better result, its trial and error approach. Machines do a task in a more mathematical and formal way. When we replace self with a machine, and give them some steps to follow, it can learn. Although it lacks the intelligence to manage an unexpected scenario, but it seldom makes mistakes on the basis of what it has learnt.Data is used to make predictions, this evolution happened from pat-tern recognition and by applying al-gorithms to observe and learn from data and then make forecasts. This iterative aspect is crucial because as models are fed with new data, they are able to adapt independently. In human terms, you `teach a computer', feed data over and over. When com-puter has huge data sets, it can start making predictions for you.Why does Machine Learning Matter?It's being believed that Artificial In-telligence, will shape the future of hu-mankind. Accelerating growth in this technology is truly astounding- rapid advances in data storage, computer processing power have dramatically changed. The interest in machine learning in the recent years is due to the growing volumes and variety of data available, cheaper computation processing and powerful, affordable data storage.All these aspects mean that we can speedily and automatically produce models ­ that can study more com-plex data and bring faster and more precise results- even on a big scale. By building precise models, a com-pany has a better chance of identify-ing profitable opportunities or even averting unknown risks.The buzz of the tech generation would lead to few notable uptrends:Data Scientist Jobs Will Be Up for Grabs: Education certifica-tions on machine learning will be in huge demand.New Approaches to Cybersecu-rity: Multiple devices connected to the internet create data and also ex-pose the systems to vulnerable risks. Machine learning models deployed by cybersecurity firms can increase the level of security and act as a de-terrent in anticipation of the potential security threats.Robotic Process Automation Will Rule the World: The human adapta-bility to machine learning has led to a heavy reliance on robotic process au-tomation with intelligent drones and robots dominating the technological revolution space. Robots deployment into finance, health and even manu-facturing processes has made the task easier.Improved IT Operations: In-foTech is generating massive data through its hardware and software components. All the data is not fit as inputs to machine learning models. Captured data is cleaned and gener-ates intelligent business insights to make an IT enterprise more proactive instead of reactive. Transparency in Decision-Making: The impact of ma-chine learning models in industries such as retail, healthcare, medicine, and logistics has been increasingly felt. Their deployment in evaluation of loan application and medical diag-nosis brings transparency to decision-making in multitude of domains.ConclusionIt is time we go on beyond abstract un-derstanding of Artificial Intelligence and understand and engage with the details of a machine's ability to learn. The exponential improvement of ma-chine learning technologies will open up new avenues for upcoming future technology. The changes brought by machine learning will bring amazing outcomes that will redefine our way of living in times to come.
< Page 8 | Page 10 >