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Predictive AI Engineering Course (3 Modules)
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Predictive AI Engineering Course Program Overview
Module 7: Fundamental Predictive AI Engineering
Module 7 Overview
Lesson 1: Neural Network Basics
Exercise 7.1
Lesson 2: Common Activation Functions for Predictive Neural Networks
Exercise 7.2
Lesson 3: Step-by-Step Scenarios - Simple Predictive Neural Networks
Exercise 7.3
Lesson 4: Fundamental Predictive Neural Network Architectures
Exercise 7.4
Lesson 5: Sequence-Based Predictive Neural Network Architectures
Exercise 7.5
Lesson 6: Convolutional Predictive Neural Network Architectures
Exercise 7.6
Lesson 7: Training Predictive Models - Terms & Concepts
Lesson 8: Training Predictive Models - Step-by-Step
Module 8: Advanced Predictive AI Engineering
Module 8 Overview
Lesson 1: Data Preparation & Exploration Techniques
Exercise 8.1
Lesson 2: Model Development & Refinement Techniques
Exercise 8.2
Lesson 3: Model Evaluation & Maintenance Techniques
Exercise 8.3
Module 9: Predictive AI Engineering Lab
Module 9 Overview
Reading Exercise 9.1: Case Study: Big Online Bazaar (BOB) Industries (~5 minutes)
Lab Exercise 9.2 Preparing Model Training Data (~60 minutes)
Lab Exercise 9.3 Refining the Model (~45 minutes)
Lab Exercise 9.4 Choosing the Right Model (~30 minutes)
Reading Exercise 9.5 Case Study: Finance Link Connect (FLC) Services (~5 minutes)
Lab Exercise 9.6 Configuring the Neural Network (~50 minutes)
Lab Exercise 9.7 Improving Predictions with Missing Features (~45 minutes)
Lab Exercise 9.8 Recognizing Images and Patterns for Fraud Protection (~35 minutes)
Lab Exercise 9.9 Processing Numerical and Textual Input (~30 minutes)
Reading Exercise 9.10 Case Study Background: SocialMeer Media Services (~5 minutes)
Lab Exercise 9.11 Creating Categorized User Groups and Identifying Common Interests (~30 minutes)
Lab Exercise 9.12 Establishing Active Buyers Categories (~45 minutes)
Supplement: Predictive AI Engineering Module 9 Mind Map Poster
Lab Exercise 9.8 Recognizing Images and Patterns for Fraud Protection (~35 minutes)
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