What does the term Machine Learning mean:
Machine learning is a type of Ai which allows a software application to become more accurate at predicting an outcome without being explicitly programmed to do so
Application of Machine Learning?
Recommendation engines are the common use case of Machine Learning. It is also used in spam filtering malware threat detection, self-driving cars, Image Recognition medical diagnosis
What are the different types of Machine Learning
Machine learning algorithms are mainly categorized into four basic approaches
1. Supervised learning
2. Unsupervised learning
3. Semi-supervised learning
4. reinforcement learning
let us briefly see about them.
Supervised learning :
In this type of Machine learning, scientists supply algorithms with labeled training data and define the variables they want the algorithm to asses for correlation, both input, and desired output are needed
Supervised learning help organization solve a variety of real-world problems such as classifying spam message in a separate folder from our inbox
Unsupervised learning:
Unsupervised learning is a type of machine learning in which models are trained using unlabelled datasets and are allowed to act on the data without any supervision
This type of learning can be compared to learning which takes place in the human brain while learning new things.
Semi-supervised learning:
This type of machine learning involves a mix of two preceding steps[supervised and unsupervised learning] where a data scientist may feed an algorithm mostly labeled training data, but the model is free to explore the data on its own and develop its an own-understanding of the dataset
some of its uses are:
* It is used in machine translation
*It is also used for fraud detection
Reinforcement learning:
Reinforcement learning works by programming an algorithm with a precise goal and set of rules for accomplishing that goal and it is used in the field such as:
Video Gameplay: Reinforcement learning has been used to teach the bots in a game
Robotics: Reinforcement learning is used in robots to perform a real-world task
What are the advantages and disadvantages of Machine learning:
Advantage:
One of the main advantages of machine learning is that it allows a company to know about its customers deeply and tries to correlate with them, easiest example of this is the recommendation engines of Facebook, Instagram
Disadvantage:
First and foremost machine learning is expensive because the data scientist involved in machine learning projects demand high salaries. These projects also require software that can be expensive
If algorithms trained on data sets that contain errors can lead to the massive inaccurate output of models