☑ How to explain complex models without confusing your businessperson audience
☑ How tailor your explanations to your audience
☑ How to address common concerns and blocker raised by businesspeople
☑ How to create an engaging narrative from technical diagnostics
☑ How to collaborate with businesspeople to achieve better models that are accepted and used by across the business
This course is about the soft skills and contextualization skills you need to become that go-to person in the office, who can explain the complex ideas about machine learning and artificial intelligence in a manner that is accessible to all.
Why should you improve your machine learning and artificial intelligence communication skills? Communication skills are vital to
● build your career, and
● to help your colleagues and organization become successful,
The hard truth is that facts are not enough. Your wording and style often matter more than your content.
While this course is aimed at data scientists, statisticians, and data analysts, it doesn’t contain any mathematics nor does it require any calculations and coding. Why? Firstly, because there are many courses and tutorials out there that can teach you the mathematics and tools, and I see no need to repeat them. Secondly, and more importantly, because the published research shows that spending time on the mathematical details only leads to confusion, distrust, and errors.
It’s more than 25 years since I started my journey in machine learning and artificial intelligence, and during that time I’ve seen it all. As a technical manager and later a member of the C-Suite, I sat through many presentations from technical staff. Too many of those presentations looked like a Ph.D. research paper rather than effective and trustworthy business advice. So, I started to mentor people in how to communicate better.
For more than a decade now, I have been teaching technical people how to communicate, and how to contextualize the people issues and business environment.
You are going to learn to talk to businesspeople in terms that they understand and that will engage their attention, ask businesspeople questions that will align your model's behavior with business needs, and anticipate and prepare for their questions.
Quiz - Is This Course for You?
Stakeholder Analysis: Understanding Your Audience
Why Understand Your Audience
What is Stakeholder Analysis?
Identifying and Prioritizing Stakeholders
Identifying and Prioritizing Stakeholders - Part 2
Stakeholder Motivations and Styles
Quiz - Stakeholder Analysis
Communication - Solving the Right Problem
Communication is for Your Audience
Jargon, Details, and Cognitive Load
The Three to Five Rule
The One to Three Rule
Communication and Stakeholder Analysis
Quiz - Solving the Right Problem
Model Explanation - Which Data is Most Important?
Introduction to the Four Model Validation Questions
The Real Question Being Asked
Quiz - Which Data is Most Important
Model Explanation - What Did the Model Learn?
Introduction to What Did the Model Learn
The Real Question Being Asked
Using the Narrative Technique
Any Surprising Results?
Quiz - Learned Patterns
Model Explanation - Detailed Examples
Introduction to Case Study Examples
Which Case Study Examples to Use
Technical Approaches to Case Studies
Quiz - Case Study Examples
Model Explanation - Accuracy and Business Value
Introduction to Accuracy
Comparisons Give Context
Quiz - Accuracy
Introduction to Objection Handling
Humans are the Solution
Dealing With Fear
Dealing With The Need For Control
Dealing With Perfectionism
Dealing With Black-Box Objections