Machine learning is a subset of artificial intelligence that focuses on algorithms that learn from behavior or data, make predictions, and improve performance.
Statistical learning is a subset of machine learning that uses big data analysis methods to make predictions.
Both forms of learning are used in data science projects, but they’re different enough to merit separate definitions.
Machine Learning
Machine learning is an area of computer science that focuses on algorithms that improve automatically through experience or data without being explicitly programmed.
These algorithms are capable of learning from data, identifying patterns, and making predictions about future data or events.
Can be applied in almost any Field
Studies have shown that machine learning can be applied to almost any field of study. In fact, almost every industry today has started using machine learning to improve their products or services and analyze their data more efficiently.
This has led to an increased demand for machine learning professionals with experience in this field which makes it a lucrative career option for students
· It is used in healthcare to improve the quality of care and also reduce the cost
· It is used in law enforcement to better detect crime and prevent terrorism
· It is even used by some companies as an alternative way to recruit employees by analyzing resumes and determining which candidates would be best suited for specific jobs, just to name a few.
It Is a Course with Demand
Machine Learning experts are one of the most sought professionals by companies nowadays because they play a key role in improving their business processes by automating tasks and providing insights into large volumes of data.
It is one of the top choices for many students these days because it gives them an edge over other candidates during job interviews and helps them get better jobs than their peers with lesser technical skills.
Also, the demand for machine learning engineers is growing every year and it’s expected to continue doing so. According to a study by Indeed.com, 89% of world companies are looking for machine learning engineers, while 78% are looking for data scientists.
A High Paying Job
If you study machine learning, then you will be able to get a job where you can earn more than $100k per year.
It Has Fewer People Studying It
The demand for this course means that there are fewer people opting for it which makes it easier for you to get into top universities and secure good grades without much competition from other students who want to do similar courses.
You’ll be able to make an impact on society by improving its systems
Machine learning can help you solve problems you didn’t even know existed before it affects your entire network or social circle.
For example, Facebook uses machine learning algorithms to identify offensive language on their platform so they can remove it before it gets shared with anyone else.
It Improves Accuracy
The main benefit of machine learning is that it improves accuracy over time, unlike statistical learning. It uses historical data to predict future events and takes into account all possible outcomes to determine the most likely result.
This makes machine learning extremely accurate and useful in situations where there are many unknown factors involved in making a prediction.
Statistical Learning
Statistical learning is a subfield of machine learning that develops statistical models from data.
Statistical learning can be used to find patterns in datasets or to predict future events based on a set of observations.
It makes it Easy to Make Predictions
The main benefit of statistical learning is that it allows us to make predictions with data that we don’t necessarily have access to or control over.
The most common example is probably weather forecasts, which use historical data on temperature, wind speed, and other factors to predict what the weather will be like tomorrow.
Another example would be predicting how likely a person is to get sick based on their exposure to different bacteria or viruses during their lifetime; this type of problem is called survival analysis.
It has a High Pay
Data science has become one of the most important professions in today’s world. Companies like Google and Facebook are hiring hundreds of people with expertise in statistical learning and machine learning every year.
You can earn six figures as a statistician or data scientist and even more if you become an expert at something like neural networks or deep learning.
Can be Applied in Many Fields
In the 21st century, many companies are looking for employees who can work with numbers and analyze data. If you are good at statistics, then it will be easy for you to find a job in any company. There are many companies that need statisticians to perform various functions and tasks. These include:
· The insurance industry needs statisticians to calculate premiums based on customer data.
· Finance companies need statisticians to determine if anyone has defaulted on their loan payments.
· Healthcare providers and hospitals need statisticians to perform various tasks relating to medicine, research and development as well as patient care
