Articles liés à Approaching (Almost) Any Machine Learning Problem
Synopsis
"Please note that the official seller in India is Pothi. Other sellers are selling printouts/photocopies for cheaper prices"
This is not a traditional book.
The book has a lot of code. If you don't like the code first approach do not buy this book. Making code available on Github is not an option.
This book is for people who have some theoretical knowledge of machine learning and deep learning and want to dive into applied machine learning. The book doesn't explain the algorithms but is more oriented towards how and what should you use to solve machine learning and deep learning problems. The book is not for you if you are looking for pure basics. The book is for you if you are looking for guidance on approaching machine learning problems. The book is best enjoyed with a cup of coffee and a laptop/workstation where you can code along.
Table of contents:
- Setting up your working environment
- Supervised vs unsupervised learning
- Cross-validation
- Evaluation metrics
- Arranging machine learning projects
- Approaching categorical variables
- Feature engineering
- Feature selection
- Hyperparameter optimization
- Approaching image classification & segmentation
- Approaching text classification/regression
- Approaching ensembling and stacking
- Approaching reproducible code & model serving
There are no sub-headings. Important terms are written in bold.
I will be answering all your queries related to the book and will be making YouTube tutorials to cover what has not been discussed in the book. To ask questions/doubts, please create an issue on github repo: https://github.com/abhishekkrthakur/approachingalmost
And Subscribe to my youtube channel: https://bit.ly/abhitubesub
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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Approaching (Almost) Any Machine Learning Problem
Edité par
Abhishek Thakur (edition ), 2020
ISBN 10 : 8269211508
ISBN 13 : 9788269211504
Ancien ou d'occasion
Paperback
Vendeur : BooksRun, Philadelphia, PA, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : Very Good. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported. N° de réf. du vendeur 8269211508-8-1
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Approaching (Almost) Any Machine Learning Problem
Edité par
Abhishek Thakur, 2020
ISBN 10 : 8269211508
ISBN 13 : 9788269211504
Ancien ou d'occasion
Couverture souple
Vendeur : Goodwill of Greater Milwaukee and Chicago, Racine, WI, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : good. Book is considered to be in good or better condition. The actual cover image may not match the stock photo. Hard cover books may show signs of wear on the spine, cover or dust jacket. Paperback book may show signs of wear on spine or cover as well as having a slight bend, curve or creasing to it. Book should have minimal to no writing inside and no highlighting. Pages should be free of tears or creasing. Stickers should not be present on cover or elsewhere, and any CD or DVD expected with the book is included. Book is not a former library copy. N° de réf. du vendeur SEWV.8269211508.G
Quantité disponible : 1 disponible(s)