Название: Practical Machine Learning in Python: Applying Artificial Intelligence to Classify Real World Data SetsАвтор: Malcolm Gloyer
Издательство: Amazon.com Services LLC
Год: 2021
Язык: английский
Формат: pdf, azw3, epub
Размер: 22.4 MB
Recent technology developments have facilitated Machine Learning on laptops. Most publications on this subject concentrate on teaching technology by using trivial examples to help readers understand the technological concepts resulting in technical proficiency but a lack of understanding how to (or being overwhelmed by the complexity when starting to) apply Machine Learning (ML) to real world problems. This book will deal with both the technology and the practical application of Machine Learning technology by explaining, via case studies presented in the appendices, how Machine Learning can be implemented to demonstrate artificial intelligence and draw inference from practical, real world problems.
Using Python’s Pandas and Scikit-learn libraries case studies of customer attrition then the independence of luxury assets and financial indices are presented. These Python libraries provide developers with the building blocks to manipulate data and code artificial intelligence Machine Learning using neural networks. Customer attrition is analysed initially using a non-linear tree based predictive model which can find non-linear relationships in the data. Readers are encouraged to experiment with sample data to understand how Machine Learning algorithms work and establish rules to model increasingly complex datasets. Commercial customer attrition data is then downloaded and analysed using a multi-layer perceptron (MLP) classification neural network case study. Readers are encouraged to download this data set and experiment with neural network methods and classes. The independence of luxury assets and financial indices case study using a multi-layer perceptron (MLP) regression neural network concludes this book.
Malcolm Gloyer, Chartered Member of the Chartered Institute for Securities and Investments explains some solutions to the challenges of laptop financial modelling. As a Certified Practicing Project Manager (CPPM MAIPM), Malcolm has more than 30 years’ experience working on projects in the UK and Australia, specialising in data strategy, market and credit risk, derivatives, commodities and artificial intelligence.
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