WIE IEEE Adgitm

WHAT IS MACHINE LEARNING?

Almost everyone around nowadays is excited to get their hands-on and explore the trending new tech in the developers’ community, “Machine Learning” and “Artificial Intelligence”. In response to this, it is indeed a true statement that the ones interested in this field are working hard to learn and create something new to utilize its full potential. Naturally, for beginners, the question that comes to mind is, “What exactly is Machine Learning?”.
Machine Learning in simple words:
Machine Learning is a field of Computer Science that aims at predicting the next event from the experience of current and past events. Some might be wondering how? It can be done using the elements of Mathematics (specifically Statistics). There are certain Algorithms of Machine Learning, for e.g. Linear Regression, Logistic Regression, Support Vector Machines, Naive Bayes, etc. that can be used to do amazing tasks. These Algorithms have existed since a long time but this technology has gained popularity in the recent years due to an obvious fact that in the previous times, we did not own adequate compute capability that is available in the present scenario.
Working Rule of ML:
Machine Learning has a definite structure of data flow. In a nutshell, an input is considered that is basically past experiences of any event and the output is given, which are the predictions. For instance, if the past experiences (or input) include that the robot crashes with a wall when it moves in the right and left direction, then the prediction (or output) given by the ML model would be that the robot should move in the forward direction.
Applications of Machine Learning:
Talking about the Applications of Machine Learning, there is a vast array of use cases of ML. Some of them include:
1. ML can be used for Text Recognition, Image Recognition and Gesture Recognition.
2. Music is also one of the fields in which ML and DL (Deep Learning) is being used to let the computer now generate EDMs.
3. ML can also be used in Computers for smart Load Balancing, Database Management and improving User Experience.
4. Healthcare Industry is using ML to predict various diseases before it gets to a serious stage.
Conclusion:
Machine Learning is a very fascinating and unique field to experiment with. All that one needs to get started with ML is the knowledge of basic coding in Python and Java, familiarity with Python libraries like NumPy, Matplotlib and Pandas, and understanding of maths, specifically statistics, linear algebra, probability and calculus.