Machine Learning: How a machine is replacing human activities with its algorithm
What is Machine Learning?
Machine Learning is a type of Artificial Intelligence that observes a lot of data and tries to recognize new data through a complex mathematical and algorithmic data structure.
History of Machine Learning
The late 1970s was a time of evolution in artificial intelligence. A paper by logician Walter Pitts and neuroscientist Warren McCulloch, published in 1943, attempted to mathematically map out thought processes and decision making in human cognition.
Classification of Machine Learning
There are two types of Machine Learning. One is Supervised Machine Learning and the other one is Unsupervised Machine Learning.
Under the Supervised classification there are also 2 parts:
1. Categorical target variable
2. Contentious target variable
Algorithms that are used in Machine Learning
For Supervised Machine Learning:
a. Decision Tree Algorithm
b. Linear Regression Algorithm
c. Logistic Regression Algorithm
d. Naive Bayes Algorithm
e. K-Nearest Neighbors Algorithm
For Unsupervised Machine Learning:
a. K-means Clustering Algorithm
b. Mean-Shift Algorithm
c. DBSCAN Clustering Algorithm
d. Gaussian Mixture Algorithm
How Machine Learning algorithm works?
Firstly, the programming language we need to learn for Machine Learning is Python Programming Language. Python has some build in methods like NumPy, Pandas, Matplotlib, Sklearn, TensorFlow which need to be learned before learning Machine Learning. After that, there are some algorithms of Machine Learning that need to be learn. Besides, some mathematical terms are also required such as Calculus, Pre-Calculus, Linear algebra, Matrix, Vector and etc.
Companies that use Machine Learning
Machine Learning has become very popular in today’s world. Big companies around the world are using Machine Learning algorithm. Here are some companies that use Machine Learning algorithm like Facebook, Apple, Microsoft etc.
Advantages of Machine Learning
Machine learning creates data by observing various patterns that are almost impossible for normal humans to solve. For example, for an e-commerce website like Facebook, it plays a very important role in the world of e-commerce by observing the browsing patterns of users and making new product recommendations. Also, it helps with antivirus detection and other unnecessary malware detection on the computer and even now it is very popular for finding email spam and medical sectors as well.
Conclusion
Machine learning is an amazing thing in today's world. It is currently being used in large companies. Its use will increase in the near future. By increasing its use in medical science including medicine and sensitive operation(Brain or Heart operation) we can provide a better medical support.
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