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Artificial Intelligence for Business
von: Rajendra Akerkar
Springer-Verlag, 2018
ISBN: 9783319974361 , 92 Seiten
Format: PDF, Online Lesen
Kopierschutz: Wasserzeichen
Preis: 69,54 EUR
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Preface
6
Contents
9
Introduction to Artificial Intelligence
12
Data
12
Information
13
Knowledge
13
Intelligence
14
Basic Concepts of Artificial Intelligence
14
Benefits of AI
17
Data Pyramid
17
Property of Autonomy
19
Situation Awareness
20
Business Innovation with Big Data and Artificial Intelligence
21
Overlapping of Artificial Intelligence with Other Fields
22
Ethics and Privacy Issues
24
AI and Predictive Analytics
25
Application Areas
26
Clustering or Segmentation
27
Psychographic Personas
29
Machine Learning
30
Introduction
30
Machine Learning Workflow
32
Learning Algorithms
33
Linear Regression
33
k-Nearest Neighbour
34
Decision Trees
35
Feature Construction and Data Reduction
37
Random Forest
37
k-Means Algorithm
37
Dimensionality Reduction
39
Reinforcement Learning
39
Gradient Boosting
40
Neural Networks
41
Deep Learning
44
Introduction
44
Analysing Big Data
45
Different Deep Learning Models
47
Autoencoders
47
Deep Belief Net
47
Convolutional Neural Networks
48
Recurrent Neural Networks
48
Reinforcement Learning to Neural Networks
49
Applications of Deep Learning in Business
49
Business Use Case Example: Deep Learning for e-Commerce
50
Recommendation Engines
52
Introduction
52
Recommendation System Techniques
55
Content-Based Recommendations
55
Item Representations
56
User Profiles
56
Learning of User Models
56
Collaborative Recommendations
57
Hybrid Approaches
58
Applications of Recommendation Engines in Business
58
Collection of Data
59
Storing the Data
60
Analysing the Data
60
Product Recommendation Algorithm
61
Business Use Case
62
Natural Language Processing
64
Introduction
64
Morphological Processing
66
Syntax and Semantics
66
Semantics and Pragmatics
66
Use Cases of NLP
67
Text Analytics
68
Sentiment Analysis
69
Sentiment Analysis Use Cases
69
Challenges of Sentiment Analysis
70
Applications of NLP in Business
70
Customer Service
70
Reputation Monitoring
71
Market Intelligence
72
Sentiment Technology in Business
72
Employing AI in Business
74
Analytics Landscape
74
Application Areas
75
Complexity of Analytics
75
Descriptive Analytics
76
Predictive Analytics
77
Prescriptive Analytics
81
Embedding AI into Business Processes
81
Implementation and Action
83
Artificial Intelligence for Growth
83
AI for Customer Service
83
Applying AI for Marketing
84
Glossary
86
References
92