Machine Learning : How a Machine Learns.
What is it and how it is done?
It's already going to be 2020 and technology has evolved drastically over the past few years. This evolution is expected to be consistent in the coming years as well. The most grossing subject, when it comes to technology is non-other than Artificial Intelligence (A.I).
Most of you already are familiar with what exactly is artificial intelligence and also a few have a wrong idea about it. So for those who are unfamiliar, Artificial Intelligence is a branch of Computer Science that gives Machines the ability to solve a certain problem / generate a convincing solution / perform a certain task autonomously only with the help of initial raw training data provided by a human. Simply put, A.I knocks sense in a machine to distinguish between Correct/Incorrect, True/False, Right/Wrong.
Alright. Now that we have cleared what A.I does, we can talk about Machine learning. According to Wikipedia :
Machine learning is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead. It is seen as a subset of artificial intelligence.
To explain this in simpler thoughts, machine learning is one of the many branches of A.I or one of the many methods of implementing A.I. What Machine learning does is it processes some given data (Patterns or Inferences), studies it, and then performs a certain task based on its deductions of the given data without explicit instructions. There is no need for direct instruction from a human.
History of M.L
Late Arthur Lee Samuel, a pioneer in the field of Computer Gaming and Artificial Intelligence first coined the term Machine Learning back in 1959 at IBM. He observed how machines could be given the ability to identify a specific pattern. His M.L based self-learning checkers game became famous amplifying the reputation of the abilities of M.L. Pattern recognition became interested among many A.I practitioners further on and thus lead to advancements in Machine Learning.
As observed from decades, Machine Learning algorithms possess the endless potential to solve any given problem very efficiently and fast. In most cases, Computer programs with M.L algorithms tend to perform better than Humans. For example, AlphaGo, Google's board game A.I has recently beaten the Go game 18-time world champion Lee Sedol. Now that's a big thing, isn't it? Assuming the potential of A.I, Machine learning is listed in one of the most required skills lists. now if you are learning M.L, Bingo! You could be a valuable asset to someone's Company.
How to learn M.L?
Unlike traditional methods, you can learn M.L from various internet sources today. Websites, Youtube, Educational Apps etcetera. You will find a way to get started with M.L almost everywhere. The challenge would really be tough if you come from a totally different stream rather than Computer Engineering or Computer Science. Also, you need to have at least basic algebraic knowledge and also a thing or two about discrete structures. If this information sparks a kindle of interest, start learning today. The knowledge of M.L will forever be your asset and will never go into vain.