Capstone Live AI Lab: AI Models for the Business User
Live Lab lesson IBM AutoAI vs NoCodeAI platforms
Dear Class,
Hope you had fun with our Live AI Lab and Model fitting exercise. Phew! It was 2 hours of AI Model theory and an hour of AI Lab.
Understanding AI Models for the Business User
As a business user, you need to understand what AI can do for you, define the problem statement and understand the models to know how to frame your business ask and provide the right data in the right format and do feature engineering.
Here is the class recording (2hrs 20min) fully about the theory of learning models.
Machine Learning
Deep Learning and understanding neural networks (Feed Forward, RNN, CNN)
Supervised vs Unsupervised learning and structured vs unstructured data
We briefly reviewed Object recognition (what our self-driving cars need) and Anomaly detection (Fraud detection) and your role in defining bundle of metrics to track. we are not covering these two in this class lab.
Classification vs Regression vs Clustering and what problems they solve.
Pytorch vs Tensorflow and why you should care as a business person
Binary Classification and top 7 Classification models
Terms Loss function and Learning Rate and Epoch
7 Classification Algorithms (IBM's AutoAI is going to fit into 5 of these and give you options to choose from when you run an AutoAI Experiment)
We reviewed Gradient Descent which is used when you have very huge volume of data.
Business Resources to make sense of the models
We looked at McKinsey Institute’s Executive Guide to AI to play with it to understand models and which industry uses them for what use cases. It will help understand the Applied AI possibilities and what transferrable skills you bring to the AI business.
Companion Deck for Session 7 AI Model and Live AI Lab for Product and Business Managers.
Remember to check if you working working with an AI Technology Business (the $100 Trillion business) or Applied AI ($14 Trillion business) always to have some reality check on your role and contribution and where you can add value.
Keep Learning, I am here to help. Remember your fellow classmates who are on the same ride and check on them for moral support.
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