Items related to 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
"synopsis" may belong to another edition of this title.
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Approaching (Almost) Any Machine Learning Problem
Seller: Goodwill of Silicon Valley, SAN JOSE, CA, U.S.A.
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Condition: good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear. Seller Inventory # GWSVV.8269211508.G
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Approaching (Almost) Any Machine Learning Problem
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paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_469093507
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Approaching (Almost) Any Machine Learning Problem
Seller: HPB-Red, Dallas, TX, U.S.A.
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paperback. Condition: Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_481026487
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Approaching (Almost) Any Machine Learning Problem
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Approaching (Almost) Any Machine Learning Problem
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paperback. Condition: Very Good. Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. A few small stains. Seller Inventory # rev1866255632
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Approaching (Almost) Any Machine Learning Problem
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