What are the Common Myths about Machine Learning?
Machine Learning (ML), a one of the hottest technology in the IT industry providing another interesting opportunity for techies to developed AI based models like automated machines and business applications making human work easier and more robotic in various fields.
Nowadays, machine learning seems everywhere and lots of people around us talking about this, but many of them not fully aware of it. Smartphones are automatically tagging photos, voice-activated virtual assistant working everywhere, Chatbots and self-driving cars all are backed with machine learning technology.
Before you know anything more about ML you need to make clear the machine learning myths what exactly machine learning is and what actually it is not, that you may have been perceived from the information hovering around you. The definition says – Machine learning is a discipline to train computers or make them learn themselves with the training dataset and work accordingly without explicit programming
Top Five Myths About Machine Learning
Myth#1: Machine learning works without human intervention
No doubt ML is the process of self-learning and performs accordingly but without a customize programming how it is possible to create programming or controlling codes for such technologies. All the algorithms used in machine learning solution are actually created by humans. Hence, the involvements of humans are mandate for ML. Though, after employing machine learning, limits or removes human from some various stages but complete human intervention cannot be ruled out.
Myth#2: Machine learning completely removes human bias
Yes it is true, that machine learning helps to remove the biased based decisions that usually taken by humans. However, it is also not true that bias is completely removed working with ML. ML can’t be completely unbiased because at the stage of initial development of data categorization a suitable algorithms data sets analyzed and the programming platform is also decided by the humans. Though, machine learning removes bias at very large extend compare to humans but can’t remove completely.
Myth#3: Machine learning performs task on real-time basis
This is also a common myth that Machine learning always performs tasks on real-time basis. In fact, only the systems that are built for learning can actually perform in real-time basis. At a very high level, ML based technologies are developed to run a series of algorithm against data, and build useful models for organizations and systems to use based on the results of that analysis. Such models are meant to be used in real time for most of the part while learning and analysis that built those models is not used for real-time basis task performance.
Myth#4: Machine learning can be applied to perform any task
This is another myth among the people interested about this emerging technology. Though, at present times machine learning can be only applied to task where large number of input data sets exists or can be potentially captured by the algorithms. Machine learning cannot be applied to every task where sufficient data sets are not available. As per the well-known publications, “the problem could be bigger when you search at areas where data is difficult to get your hands on. However, now many companies are trying to overcome this bottleneck of requirement of large amount of data collection and analysis for machine learning algorithms and trying to develop with fewer training data set to develop feasible models.
Myth#5: Only highly skilled data scientists can use machine learning
This is one of the biggest myths about machine learning that only highly skilled professionals or data scientists can use this technology. Though, it is true that owing to complex science of machine learning and further constant evolving it is quite difficult to understand, hence till now only major technology companies and enterprises are taking the advantage of this technology.
However, now many companies are focusing to work on this technology and trying to utilize the machine learning into daily business actions to make it more accessible to everyone. Big tech giants like Google, Facebook, Apple, Amazon and Microsoft are working seriously on this technology and they have already developed machine learning-powered applications and business models making it available for everyone through open source projects and APIs.
In addition to above myths there are many more fables which are very difficult to clear off from everyone’s minds. However, with the further progress in different industries and more practical use in our real life all these myths would be clear in near future. As nowadays many companies are using machine learning to build solutions to protect their business from fraud, while few of them are not using this as efficiently as they should; because this could be considered more of a marketing buzzword. Machine learning as a service is just like other technology, as long as a realistic and favorable approach is taken it would be a powerful tool and approaching to this technology can produce a value for money for the businesses across the industries globally.