Artificial intelligence is fully geared up in revolutionizing the business environment and user’s lives. Outcome – oriented mindset has led to the adoption of machine learning in Artificial Intelligence.
Trying one’s mind, efforts and energy in the field of computer science to create invent something unique, distinctive to make the life of people easier has always been of great interest to the scientists. One such topic where such a hype is created surrounding it is Artificial Intelligence for the decent time period.
For the people who were quite unaware of this field has thought of it as mere hype but the results and advances makes the claims seem real and believable. Artificial Intelligence has brought out a significant transformation in the lives of people. Artificial intelligence is now connected to our very lives and existence as we are using these artificial intelligence output while carrying out our daily work.
First, let us know what is Artificial Intelligence? Artificial intelligence is that branch of computer science that enables the computer and computer regulated systems to wolf down information to produce end results similar to how humans reasons out, make decisions and solve problems. Artificial intelligence uses the similar logic, reasoning, creativity and problem solving skills as do humans. John McCarthy, who is the father of Artificial Intelligence says “Artificial Intelligence is the science and engineering of making intelligent machines, especially intelligent computer programs”.
The application of Artificial Intelligence is seen in the form of biometric recognition, personal assistants called Siri, Cortana, digital assistant, speech recognition are some of the examples. It has an overarching usage capacity and capability.
It is used by defense sector for application of Artificial Intelligence in hostile situations, let’s say for example , a computer enabled robot is given all the information and then can be sent to diffuse the bomb, this is reduce the chances of putting lives in danger. It makes the decisions much faster by using it technical cognitive skills and reduce the chances of making errors, thus bringing out efficiency in its working.
Owing to its far fetching results, there is no industry that remains untouched. It has impacted advertising, healthcare, finance, manufacturing, education, retailing, entertainment, etc. Many businesses are using Artificial Intelligence powered solutions in their business organization. These are automated communication, robotics, virtual assistants, automated sales analyst, predictive analyst, machine learning, automated sales analyst, etc.
Here we are going to talk about what is machine learning, what is machine learning algorithm and to understand better, we will give out machine learning examples. First, let us answer what machine learning means.
Machine Learning Definition
To know Machine learning meaning, one needs to know that it is a modern innovation that helps in improving business industries and lives of people. Machine learning in artificial intelligence is a sub- area in artificial intelligence which is fed with all the information, the system will automatically tries to learn from the experience without any external assistance. It acts just like human beings.
Just like humans have evolved over a period of time beginning in antiquity, in the same manner machines are very recently developed. Machine learning meaning that the machines are computer enabled that helps in making decisions on the basis of data. The programming is done in such a manner that the system learns from past experience and improves upon its outcomes. Also with the exposure from new data, they grasp it and make sound, logical and accurate decisions.
Machine Learning Examples
- Speech recognition and text to speech is the translation of audio into written text and vid-a-versa respectively. It is one of the commonly used machine learning examples.
- One of the machine learning examples is in the banking sector. It helps in tracking down the pattern of consumer spending, it can perform the market analysis. It has many more applications.
- Medical diagnosis
It is the most common technique that helps in making the diagnosis of diseases, monitoring of patient, for planning the medical course of treatments. It is one of the most helpful machine learning examples in healthcare sector.
These are some of the machine learning examples that helps you understand things better.
Machine Learning Algorithm
There are three main classification of machine learning algorithm. They are:
a) Supervised Learning
In this machine learning algorithm, the target or goal or dependent variable is to be predicted with the help of given set of independent variable. The system helps in mapping out input with the desired results. It will continue to do so, till the desired accuracy is achieved. The supervised learning of machine learning examples includes decision tree, KNN, etc.
b) Unsupervised Learning
The unsupervised learning of machine learning algorithm, is for categorizing population in different groups based on some specifications. Unsupervised learning of machine learning examples include Apriori algorithm.
c) Reinforcement Learning
Machine learning algorithm, reinforcement learning, learns from the previous experiences and uses all the knowledge to bring out the best possible results. Reinforcement learning of machine learning examples is a Markov decision process.
Let’s look at some of the facts on the basis of survey as to how much is and why machine learning is relevant in different industries.
Machine learning in artificial intelligence in manufacturing sector, the users presented a 50% votes towards machine learning. It helps in performing repetitive tasks more efficiently. In the education sector, out of the total percentage of the decision makers, total 100% indicated that machine learning is highly impact for the sector. In financial sector, 44% of the decision makers finds it impactful in banking, finance and insurance services, technology sectors indicated 45% for the applicants.
In general management machine learning gets 25% voting share by the decision makers. In administration, the decision makers has given shown 25% faith in machine learning to be useful. There are many more other sectors that has given different liking towards different Artificial Intelligence powered solution.
The overall results show that it is machine learning, automated research, automated data analyst, data collection, virtual assistants that stands out among the rest. I hope the percentage are convincing enough to reason out why machine learning?
Machine learning in artificial intelligence is proving themselves to be the most effective and reliable in building up or creation of artificially intelligent machines.