The article provides a brief overview of machine learning and related programs. The core of the article rests upon the examination and consequent comparison of online and offline machine learning courses. It concludes with providing an unbiased opinion to choose from the two depending upon several factors.
There is a digital progression of the world from offline to online domain. However, this doesn’t mean that offline modules of pedagogy and learning have become outdated. Both online and offline courses are relevant today under various circumstances.
Online machine learning courses
Online machine learning courses are important for the students as it provided them with the freedom to comprehensively understand the course at the time and place of their own choosing. Moreover, machine learning online training has become increasingly popular in the country owing to the unlimited scope it has in the future. The videos can be watched any number of times and doubt clearing sessions can be also organized.
Advantages of online machine learning courses
Few of the advantages of online machine learning courses that we may want to mention include the three dimensional visualization techniques supported by deep and thrilling research. This level of research infuses inquisitiveness in the mind and makes learning much more elaborate. Another advantage of machine learning online training is the vast diversity of students that are simultaneously engaged in thought provoking sessions. So, we may conclude that the online training program has a diversity across borders which can’t be granted by offline versions.
Disadvantages of online machine learning
Though it is difficult to point out the disadvantages of machine learning online training, the critics have repeatedly pointed out that physical presence in the classroom ensures one to one guidance and also the direct supervision of the subjects.
Offline machine learning courses
When we talk about offline machine learning courses, we are actually pointing at the traditional form of classroom where physical presence is a must. However, this doesn’t mean that the offline programs are orthodox and less dynamic. The truth actually is that offline modules have lost sheen because digitization has picked up a brisk tempo.
Advantages of offline machine learning courses
Offline machine learning courses are still popular because they have their own set of advantages. The first among the list is that learning is under peer guidance and supervision and is constantly monitored by the guide who makes initial corrections so that the project progresses along the right direction. Regular and time bound tests, trials and research ensure benefits that online programs lack. In addition to this, recent research has shown the physical training evokes a state of emotive learning which has greater probability of making major breakthroughs in machine learning.
Disadvantages of offline machine learning
At the same time, it is quite easy to recognize that the advantages of online learning become the disadvantages of offline learning. To portray this by an example, there may be several constraints like access, time and travel which may come along the way of offline machine learning courses but such factors hardly influence a machine learning course which is offered online.
Which is better?
If we are asked to argue which among the two is better, the answer would be rather subjective and not objective. This is because there are several factors which determine the feasibility of an online course to a subject. There may emerge factors which would tilt the balance in favour of online machine learning. These factors may range from suitability to a working professional or a college student. On the other hand, several other factors may tilt the balance in favour of offline machine learning. For instance, consider a freelance researcher who is completely devoted to machine learning and wants some first hand exposure to the job. For him, offline machine learning training would be a natural choice.
A word for the wise
There is actually a very small barrier which separates online and offline machine learning. The truth is that there is absolutely no conflict between online and offline machine learning courses. However, what is required is to get acquainted with machine learning skills through any medium. A bit of investment in the field and a passion for machines ensures that learning actually happens.
As the world has witnessed a digital revolution, the online footprint of the various users has also increased. In this context, the online machine learning courses which are gaining popularity should be the new choice for aspirants of this domain!