Machine Learning For Absolute Beginners

Machine Learning For AbsoluteBeginners Oliver Theobald Second EditionCopyright 2017 by Oliver TheobaldAll rights reserved. No part of this publication may be reproduced,distributed, or transmitted in any form or by any means, includingphotocopying, recording, or other electronic or mechanicalmethods, without the prior written permission of the publisher,except in the case of brief quotations embodied in critical reviewsand certain other non-commercial uses permitted by copyright law. Contents INTRODUCTIONWHAT IS Machine Learning ?ML CATEGORIESTHE ML TOOLBOXDATA SCRUBBINGSETTING UP YOUR DATAREGRESSION ANALYSISCLUSTERINGBIAS & VARIANCEARTIFICIAL NEURAL NETWORKSDECISION TREESENSEMBLE MODELINGBUILDING A MODEL IN PYTHONMODEL OPTIMIZATIONFURTHER RESOURCESDOWNLOADING DATASETSFINAL WORD INTRODUCTIONM achines have come a long way since the Industrial Revolution. Theycontinue to fill factory floors and manufacturing plants, but now theircapabilities extend beyond manual activities to cognitive tasks that, untilrecently, only humans were capable of performing.

machine learning as well as the mathematical and statistical underpinnings of designing machine learning models. For those who do wish to look at the programming aspect of machine learning, Chapter 13 walks you through the entire process of setting up a supervised learning model using the popular programming language Python.

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