In Machine Learning there are often three values that interests us and that are: Mean, Median and Mode.
Example: We have registered the speed of 13 cars:
speed = [99,86,87,88,111,86,103,87,94,78,77,85,86]
Mean
The mean value is the average value.
To calculate the mean, find the sum of all values, and divide the sum by the number of values:
(99+86+87+88+111+86+103+87+94+78+77+85+86) / 13 =...
The application of Machine Learning in our day to day activities have made life easier and more convenient. They've created a lot of buzz around the world and paved the way for advancements in technology.
Applications of Machine Learning include:
Product Recommendation
Product recommendation is one of the coolest applications of Machine Learning. Websites are able to recommend products to you...
There are lots of tools you can use for Machines Learning. These tools can be classified into three categories, which include:
Programming languages: Programming languages used for Machine Learning include Python, Java, R, and C++.
Machine Learning platforms: These platforms help you carry out machine learning procedures from beginning to the end. They provide you with the tools to develop and...
There are three types of Machine Learning, which include:
Supervised Learning
Unsupervised Learning
Reinforcement Learning
Supervised Learning
Supervised Learning is the most common type of Machine Learning. It involves training the algorithm with a “labelled” dataset. The labelled training data helps the Machine Learning algorithm make accurate predictions in the future.
A...
The term “Machine Learning” was coined by a computer gamer named Arthur Samuel in 1959.
In his words machine learning is "The Field of study that gives computers the ability to learn and make predictions without being explicitly programmed."
Machine Learning is a sub-field of Artificial Intelligence. It's based on the idea that computers or machines can learn from their past...
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