Artificial Intelligence and Deep Learning for Decision Makers

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About This Course

Skills You’ll Get

1

Preface

2

Artificial Intelligence and Deep Learning

  • Artificial Intelligence (AI)
  • Deep Learning (DL)
  • Machine learning versus deep learning
  • Introduction to Artificial Neural Networks (ANNs)
  • Algorithmic Problem-Solving Approach
  • Conclusion
  • Questions
3

Data Science for Business Analysis

  • What is data science?
  • Challenges faced by businesses
  • Problems that Occur During Model Development
  • Problems Faced by IT Organizations While Developing Models
  • Artificial Intelligence and Deep Learning Methods to Develop Models
  • Improvements in the Business
  • Benefits of data science in business analysis
  • Conclusion
  • Questions
4

Decision Making

  • Representation Of Problems
  • Design and development knowledge representation
  • Representation techniques
  • Knowledge Representation Issues
  • Conclusion
  • Questions
5

Intelligent Computing Strategies by Google

  • The Strategies Of Google In Deep Learning Exploration
  • Research Environment By Deepmind And Other Services Provided To The Users
  • Business Models Currently Adopted by Google
  • Google business model canvas
  • Conclusion
  • Questions
6

Cognitive Learning Services in IBM Watson

  • The Cognitive Learning in NLP
  • IBM Watson
  • Improving services with IBM Watson
  • How to impact businesses with IBM Watson
  • Conclusion
  • Questions
7

Advancement of Web Services by Baidu

  • Baidu web services and its business orientation
  • Deep Learning in Baidu Web Services
  • Next steps of Baidu intelligent web services
  • Conclusion
  • Questions
8

Improved Social Business by Facebook

  • Introduction
  • Introduction to Facebook
  • The Current Progress of FAIR for Advancing Social Media
  • Application of AI in the Field at Facebook Scale
  • Social Media Analytics
  • Potential Use of DL in Improving Customers Among Social Media Users
  • Conclusion
  • Questions
9

Personalized Intelligent Computing by Apple

  • Introduction to Apple
  • AI in Apple: From Siri to the image processing
  • Innovation On Intelligent Product Development
  • Emergence Of Apple Products Year By Year
  • Conclusion
  • Questions
10

Cloud Computing Intelligence by Microsoft

  • Lesson Objective
  • Introduction
  • Microsoft Approach to AI
  • Microsoft AI platform - Overview
  • Incorporation of DL capabilities in cloud computing
  • Microsoft business model
  • Microsoft business segments
  • Conclusion
  • Questions

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