Simplifying Deep Learning: A Brief Guide to AI for Business Leaders, Managers and Analysts with 18 Industry Examples & Datasets
Introduction
Deep learning, a subset of artificial intelligence (AI) and machine learning, has rapidly emerged as a game-changing technology for businesses. From voice recognition to image classification, deep learning algorithms have proven to be very effective at solving complex problems with non-linear relationships between the variables. In this no-nonsense guide, you’ll learn the foundations of deep learning, begin to understand its real-world applications, and examine its potential impact on business decision-making without needing to be a specialist in AI and ML or big data. To help illustrate these concepts, we will provide specific Python frameworks and algorithms to use as well as the relevant publicly available datasets for each use case. Deep learning can seem like a complex computer science topic filled with hype technical jargon that is often more confusing than educational. However, many of the underlying principles for deep learning are fairly intuitive once you cut through the hype. The trick is to understand how to apply each type of deep learning technique by selecting the appropriate neural network architecture for the problem you want to solve. We’ll start with a simple and concise introduction to deep…