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Data Science Professional Consulting Course (2 Modules)
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Data Science Professional Consulting Course Program Overview
Module 7: Fundamental Machine Learning
Module 7 Overview
Module 7 Symbol Legend
Lesson 1: Understanding Machine Learning (18:59)
Exercise 7.1
Lesson 2: Fundamental Terms and Concepts (8:03)
Exercise 7.2
Lesson 3: How Machine Learning Works (4:22)
Exercise 7.3
Lesson 4: Machine Learning Algorithms and Practices (24:59)
Exercise 7.4
Lesson 5: How Machine Learning Systems Work (12:52)
Exercise 7.5
Lesson 6: Machine Learning in the Industry (4:28)
Supplement: Module 7 Algorithms and Practices Reference Supplement
Supplement: Patterns and Mechanisms Mapping Reference Matrix
Module 10: Fundamental Artificial Intelligence
Module 10 Overview
Module 10 Symbol Legend
Lesson 1: Understanding Artificial Intelligence (19:32)
Exercise 10.1
Lesson 2: Fundamental Terms and Concepts (9:39)
Exercise 10.2
Lesson 3: Common AI Practices (31:01)
Exercise 10.3
Lesson 4: Understanding Neural Networks (40:41)
Exercise 10.4
Lesson 5: Building AI Systems (4:53)
Supplement: Artificial Intelligence Systems Neural Networks and Neuron Types Mapping Reference Matrix
Supplement: Artificial Intelligence Systems Neural Networks and Practices Mapping Reference Matrix
Supplement: Artificial Intelligence Systems Problem Types and Practices Mapping Reference Matrix
Supplement: Artificial Intelligence Systems Problem Types and Neural Networks Mapping Reference Matrix
Supplement: Artificial Intelligence Algorithms and Practices Reference Supplement
Supplement: Artificial Intelligence Neural Networks Reference Supplement
Become a Data Science Consultant
Step 1 - Take the Self-Test (Optional)
Step 2 - Order and Schedule the Exam
Step 3 - Purchase Exam Prep Kit (Optional)
Add-Ons
Instructor-Led Training & Coaching Information
Online Coaching Order
Digital Training Badge (Acclaim/Credly)
Downloadable Digital Course Materials (PDFs)
Printed Course Materials
eLearning Study Kit Account
Data Science Professional Consulting Course Program Overview
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