Based Machine Learning Can Help Overcome Challenges In Model Building Techniques (JNNC Technologies)

                                              http://jnnctechnologies.com/

                               https://clanguagetraininginvizagjnnc.blogspot.com/  

                               https://javatrainingjnnctechnologies.blogspot.com/

                                  https://pythontraininginjnnctechnologies.blogspot.com/

                                      https://dotnetjnnctechnologies.blogspot.com/

                                                   https://softwarecoursesselenium.blogspot.com/

                   https://jnnc-technologies-pvtltd-software-training-institute.business.site/?

                                     https://summerinternshipinjnnctechnologies.blogspot.com/
                                           

https://www.google.com/maps/place/JNNC+Technologies+Pvt.Ltd/@17.725503,83.3016408,17z/data=!3m1!4b1!4m5!3m4!1s0x0:0xd8a1b115babeb73c!8m2!3d17.725503!4d83.3038295

With the revolution of data, almost every organisations are shifting towards making data-driven decisions. During the last few decades, machine learning has been playing as a protagonist in a number of domains in the organisations. It has been broadly used in domains like speech recognition, autonomous vehicles, medical imaging, etc. With the researches going on in both academia and organisations, machine learning has developed in an exponential way within a shorter span of time.

In this article, we will discuss the model-based machine learning technique and how it helps to overcome the challenges of traditional machine learning.