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If you are not updated, you will get out dated!!Learning process knows no Limits. When you swim to the depth of it, you engulf yourself to the world of Clarity in understanding things. One such Pillar which can’t be appeased from today’s World is Machine Learning. This Digital World has thrown a huge challenge to every data Scientist. In other words it makes everyone sink in the world of Technology. As a profound Data Scientist one has to use his analytical skill to his Maximum level in order to solve Business Problems.
The statistics and data have to be channeled to a proper flow in order to solve the problem.
But all Business Solutions nowadays require Automation. Automation has been an irreplaceable factor in this Modern world. Thus Machine Language can only quench the thirst for Automation. Every innovation becomes successful if it is able to cope up with the current trend. In recent times these 3 Machine Languages have been used extensively for Machine Learning.
Python
LISP
Prolog
Python has turned out to be a user friendly with its Advanced Data Structures.
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It also proves to be so worthy since it has Extensive support libraries. Productivity and Sped also plays an important role in making Python a user friendly
Compared to C++, the flexibility and Power of LISP is greater. It is one of the most Concise Languages being used today. The most important aspect of using a LISP function is that it can be manipulated in the same way as a DATA is Manipulated.
Prolog has some additional features such as “Object oriented extensions”,
“Constraint Based techniques “and so on.
However Prolog is not a complete implementation of Logic but better than C. Moreover it is more like a Mathematical Notation. It is also easy to build tables and databases while the program is running. As a Data Scientist it is a must to approach the problems in a way that leads to Permanent Solution. There are many companies who still approach problems in a way that just gives a Temporary Solution. This Temporary Satisfaction can lead to a great fall. Moreover this temporary Solution makes your company vulnerable to Threats and risks.
Data Scientist should always keep in mind the following factors while in approaching the Machine language.
User Friendliness
Cost of Investment
Time taken to Solve the problem
Risks involved in Maintenance Costs
Machine Learning For Data Scientists. (2024, Feb 25). Retrieved from https://studymoose.com/machine-learning-for-data-scientists-essay
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