New Book: Enterprise AI – An Applications Perspective

New Book: Enterprise AI – An Applications Perspective


Now published. Enterprise AI: An applications perspective takes a use case driven approach to understand the deployment of AI in the Enterprise. Designed for strategists and developers, the book provides a practical and straightforward roadmap based on application use cases for AI in Enterprises. The authors (Ajit Jaokar and Cheuk Ting Ho) are data scientists and AI researchers who have deployed AI applications for Enterprise domains. The book is used as a reference for Ajit and Cheuk’s new course on Implementing Enterprise AI.

Download the book (members only) 
Click here to get the book. For Data Science Central members only. If you have any issues accessing the book please contact us at info@datasciencecentral.com.

Contents
Introduction 

Machine Learning, Deep Learning and AI 
The Data Science Process 
Categories of Machine Learning algorithms 
How to learn rules from Data? 
An introduction to Deep Learning 
What problem does Deep Learning address? 
How Deep Learning Drives Artificial Intelligence 

Deep Learning and neural networks

Perceptrons – an artificial neuron 
MLP – How do Neural networks make a prediction? 
Spatial considerations – Convolutional Neural Networks 
Temporal considerations – RNN/LSTM 
The significance of Deep Learning 
Deep Learning provides better representation for understanding the world 
Deep Learning a Universal Function Approximator 

What functionality does AI enable for the Enterprise? 

Technical capabilities of AI
Functionality enabled by AI in the Enterprise value chain 

Enterprise AI applications 

Creating a business case for Enterprise AI 
Four Quadrants of the Enterprise AI business case 
Types of AI problems 

Enterprise AI – Deployment considerations 

A methodology to deploy AI applications in the Enterprise 
DevOps and the CI/CD philosophy

Conclusions 
DSC Resources

Invitation to Join Data Science Central
Free eBook: Enterprise AI – An Applications Perspective
Free Book: Applied Stochastic Processes
Comprehensive Repository of Data Science and ML Resources
Advanced Machine Learning with Basic Excel
Difference between ML, Data Science, AI, Deep Learning, and Statistics
Selected Business Analytics, Data Science and ML articles
Hire a Data Scientist | Search DSC | Classifieds | Find a Job
Post a Blog | Forum Questions


Link: New Book: Enterprise AI – An Applications Perspective