Publisher's Synopsis
Successfully and proactively take charge of your machine learning strategy. Machine learning (ML) is permeating every sector and aspect of business, from evaluating the success of a massive online marketing campaign, to predicting insurance payouts, to crime scene analysis. This book shows how to interpret patterns and redundancies from massive amounts of existing data to help your business cut costs, operate more efficiently and effectively, and get to the next level.
What You'll Learn
- Understand the vast potential of machine learning, and how and when to apply different ML techniques
- Devise strategies to improve efficiency and accuracy in your business
- Get to know your customers and their specific needs through interpreting highly accurate and complex data
- Communicate more effectively with teams of architects and data scientists as they develop and deploy complex machine learning solutions
- Contrast the life cycle of a machine learning project to a software development project
- Master terms such as "convolutional neural network," "nonparametric regression," and "multi-class decision jungle"
Who This Book is For
Any technical business decision maker who has to implement a machine learning strategy or converse with data scientists. A basic level of technical understanding is helpful, but does not have to be specific to programming languages or operating systems.
This book is open access under a CC BY license.
