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Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning

https://www.amazon.com/Machine-Learning-Python-Cookbook-Prep...
This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re comfortable with Python and its libraries, including pandas and scikit-learn, you’ll be able to address specific problems such as loading data, handling text or numerical data, model selection, and dimensionality reduction and many other topics.Each recipe includes code that you can copy and paste into a toy dataset to ensure that it actually works. From there, you can insert, combine, or adapt the code to help construct your application. Recipes also include a discussion that explains the solution and provides meaningful context. This cookbook takes you beyond theory and concepts by providing the nuts and bolts you need to construct working machine learning applications.You’ll find recipes for:
  • Vectors, matrices, and arrays
  • Handling numerical and categorical data, text, images, and dates and times
  • Dimensionality reduction using feature extraction or feature selection
  • Model evaluation and selection
  • Linear and logical regression, trees and forests, and k-nearest neighbors
  • Support vector machines (SVM), naïve Bayes, clustering, and neural networks
  • Saving and loading trained models
Author: Chris Albon
Published by: O'Reilly Media | Publication date: 03/09/2018
Kindle book details: Kindle Edition, 368 pages

Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists

https://www.amazon.com/Feature-Engineering-Machine-Learning-...
Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machine-learning models. Each chapter guides you through a single data problem, such as how to represent text or image data. Together, these examples illustrate the main principles of feature engineering.Rather than simply teach these principles, authors Alice Zheng and Amanda Casari focus on practical application with exercises throughout the book. The closing chapter brings everything together by tackling a real-world, structured dataset with several feature-engineering techniques. Python packages including numpy, Pandas, Scikit-learn, and Matplotlib are used in code examples.You’ll examine:
  • Feature engineering for numeric data: filtering, binning, scaling, log transforms, and power transforms
  • Natural text techniques: bag-of-words, n-grams, and phrase detection
  • Frequency-based filtering and feature scaling for eliminating uninformative features
  • Encoding techniques of categorical variables, including feature hashing and bin-counting
  • Model-based feature engineering with principal component analysis
  • The concept of model stacking, using k-means as a featurization technique
  • Image feature extraction with manual and deep-learning techniques
Published by: O'Reilly Media | Publication date: 03/23/2018
Kindle book details: Kindle Edition, 218 pages

Downtown and Driftwood: Issue 3 - May 2015

https://www.amazon.com/Downtown-Driftwood-Issue-May-2015-ebo...
We are very excited to be able to offer an eBook version of Downtown & Driftwood for download. Now we have a new printer (and are able to offer the printed version at a much more reasonable price) we have more control over the end result and are therefore able to produce an eBook which is viewable on Android and IOS devices. The eBook is a zipped .epub file so please make sure your device can unzip and view .epub files.Issue THREE of … DOWNTOWN & DRIFTWOOD print magazine – a bimonthly magazine concentrating primarily on photography, street photography and photojournalism but including Steve’s other passions of poetry and short stories.Issue THREE carries on from Issue TWO with photojournalistic features on The Hot Rod Shop: from humble settings in the Middlesex countryside classic American cars are supplied to Pinewood Studios for blockbuster movies. More Fascinating and thought provoking images from London at night by Nicola Albon.Short stories and poetry from both up and coming talent and established authors. This issues Close Up focuses on short story writer, editor and teacher Nik Perring including the full copy of one his best short stories “Kiss”. Hard hitting poetry from Chris AbramsSteve is actively looking for publishers for backing to increase the print run size. The uptake and interest from readers and contributors is increasing and the magazine already has a steady and loyal readership – issues 4 and 5 are beginning to take shape and 2015 is looking like a great year as Downtown and Driftwood’s inaugural year
Published by: SMP | Publication date: 04/24/2015
Kindle book details: Kindle Edition, 218 pages
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