PYTHON PROGRAMMING AND MACHINE LEARNING: The ultimate guide for beginners to learn Python and mastering the fundamentals of ML + tools and tricks. by John Code

Author:John Code [Code, John]
Language: eng
Format: azw3
Published: 2020-05-09T16:00:00+00:00

Chapter 2

Applications of Machine Learning

Machine learning helps to change how businesses work and operate in today’s world. Through machine learning, large volumes of data can be extracted, which makes it easier for the user to draw some predictions from a data set.

There are numerous manual tasks that one cannot complete within a stipulated time frame if the task includes the analysis of large volumes of data. Machine learning is the solution to such issues. In the modern world, we are overwrought with large volumes of data and information, and there is no way a human being can process that information. Therefore, there is a need to automate such processes, and machine learning helps with that.

When any analysis or discovery is automated fully, it will become easier to obtain the necessary information from that analysis. This will also help the engineer automate any future processes. The world of business analytics, data science, and big data requires machine learning and deep learning. Business intelligence and predictive learning are no longer restricted to just large businesses but are accessible to small companies and businesses too. This allows a small business to utilize the information that it has collected effectively. This section covers some of the applications of machine learning in the real world.

Virtual Personal Assistants

Some examples of virtual assistants are Allo, Google Now, Siri and Alexa. These tools help users access necessary information through voice commands. All you must do is activate the assistant, and you can ask the machine any questions you want.

Your personal assistant will look for the necessary information based on your question, and then provide you with an answer. You can also use this assistant to perform regular tasks like setting reminders or alarms. Machine learning is an important part of this tool since it helps the system gather the necessary information to provide you with an answer.

Density Estimation

Machine learning will help a system use any data that is available on the Internet, and it can use that data to predict or suggest some information to users. For example, if you want to purchase a copy of “A Song of Ice and Fire” from a bookstore, and run it through a machine, you can generate a similar copy of the book using that very machine.

Latent Variables

When you work with latent variables, the machine will try to identify if these variables are related to other data points and variables within the data set. This is a handy method when you use a data set where it is difficult to identify the relationship between different variables. There are times when you will be unable to identify why there is a change in a variable. The engineer can understand the data better if he or she can take a look at the different latent variables within the data set.

Reduction of Dimensionality

The data set that is used to train machines to predict the outcome to any problem will have some dimensions and variables. If there are over three dimensions within the data set, it will become impossible for the human mind to visualize or understand that data.

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