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Unsupervised Machine Learning in Python: How to Find Distinct Patterns in Your Data Without Being at the Mercy of Data Labeling by Third-Party Workers
Machine learning is one of the most fascinating aspects of data science. It allows you to find patterns, figure out information, and make smart decisions without having to always be present at the computer.
But until recently, humans had to constantly show machines how to adapt and take on new challenges; machines weren’t autonomous or self-taught, so to speak.
But today, that’s all changed!
Current technology has allowed machines to figure out patterns and learn as they go.
A perfect example would be a search engine. Sure, programmers put in basic information to get things started, but there are myriad things the search engine (the machine) must learn on its own along the way without the oversight and input of another human being.
Just imagine how much free time this gives you…and how nice it’ll be to NOT have to sift through millions of data numbers yourself.
Essentially, when you learn unsupervised machine learning you won’t have to mess around with putting in code in order to teach machines how to do things—instead they can learn by the choices you or the user make, and can get better over time.
And if all this seems complicated or over your head, don’t worry—I’ve got you covered.
This info-packed guide will show unsupervised machine learning with easy, step-by-step instructions.
But until recently, humans had to constantly show machines how to adapt and take on new challenges; machines weren’t autonomous or self-taught, so to speak.
But today, that’s all changed!
Current technology has allowed machines to figure out patterns and learn as they go.
A perfect example would be a search engine. Sure, programmers put in basic information to get things started, but there are myriad things the search engine (the machine) must learn on its own along the way without the oversight and input of another human being.
Just imagine how much free time this gives you…and how nice it’ll be to NOT have to sift through millions of data numbers yourself.
Essentially, when you learn unsupervised machine learning you won’t have to mess around with putting in code in order to teach machines how to do things—instead they can learn by the choices you or the user make, and can get better over time.
And if all this seems complicated or over your head, don’t worry—I’ve got you covered.
This info-packed guide will show unsupervised machine learning with easy, step-by-step instructions.
40 pages, Kindle Edition
Published July 20, 2017
7 people are currently reading
3 people want to read
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April 19, 2023
This book is really good for anyone who wishes to understand the data annotation and labeling process. This skill is pretty important, with most popular programming languages and machine learning technologies operating with processed data with assigned classes and labels. Here https://marketbusinesstimes.com/data-... you can find some really useful info about working with raw data, if a book was enough for you. Overall, great reading on a really important topic in the modern tech market.
Displaying 1 of 1 review