Transcription of Machine Learning For Absolute Beginners
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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.
per se, Arthur Samuel is widely considered as the first person to coin and define machine learning in the form we now know today. Samuel’s landmark journal submission, Some Studies in Machine Learning Using the Game of Checkers, is also an early indication of homo sapiens’ determination to impart our own system of learning to man-made machines.
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