Book Image

Python Machine Learning Cookbook - Second Edition

By : Giuseppe Ciaburro, Prateek Joshi
Book Image

Python Machine Learning Cookbook - Second Edition

By: Giuseppe Ciaburro, Prateek Joshi

Overview of this book

This eagerly anticipated second edition of the popular Python Machine Learning Cookbook will enable you to adopt a fresh approach to dealing with real-world machine learning and deep learning tasks. With the help of over 100 recipes, you will learn to build powerful machine learning applications using modern libraries from the Python ecosystem. The book will also guide you on how to implement various machine learning algorithms for classification, clustering, and recommendation engines, using a recipe-based approach. With emphasis on practical solutions, dedicated sections in the book will help you to apply supervised and unsupervised learning techniques to real-world problems. Toward the concluding chapters, you will get to grips with recipes that teach you advanced techniques including reinforcement learning, deep neural networks, and automated machine learning. By the end of this book, you will be equipped with the skills you need to apply machine learning techniques and leverage the full capabilities of the Python ecosystem through real-world examples.
Table of Contents (18 chapters)

Simplifying machine learning workflow using TensorFlow

TensorFlow is an open source numerical calculation library. The library was created by Google programmers. It provides all the tools necessary to build deep learning models and offers developers a black-box interface to program.

Getting ready

In this recipe, we will introduce the TensorFlow framework, using a simple neural network to classify the iris species. We will use the iris dataset, which has 50 samples from the following species:

  • Iris setosa
  • Iris virginica
  • Iris versicolor

Four features are measured from each sample, namely the length and the width of the sepals and petals, in centimeters.

The following variables are contained:

  • Sepal length in cm
  • Sepal width...