Machine learning is perceived as a difficult, challenging, and math-intensive topic. In this course, Building Your First Machine Learning solution, you will discover the magic of machine learning and understand the theory behind it. First, you will learn what machine learning is, its types, its applications, why it is getting traction, and what its phases are. Next, you will discover how vital the data is for machine learning solutions, how to source it, analyze it, and pre-process it for subsequent machine learning steps. Finally, you will explore how to train your machine learning algorithms and evaluate them. Moreover, you will develop knowledge around recent trends in machine learning, such as AI as a Service. When you are finished with this course, you will have a firm understanding of machine learning with the ability to build a basic regression machine learning solution.
Author Name: Mohammed Osman
Author Description:
Mohammed Osman is a senior software engineer who started coding at the age of 13. Mohammed worked in various industries, including telecommunication, accounting, banking, health, and assurance. Mohammed’s core skillset is a .NET ecosystem with a strong focus on C#, Azure, and Data Science. Mohammed also enjoys the soft-side of software engineering and leads scrum teams. Mohammed runs a blog with the message “Making your code smart and your career smarter.” He shares tips and techniques to improv… more

Table of Contents

• Course Overview
  1min
• Getting Your Feet Ready to Run
  31mins
• Feeding Your Machine Learning Pipeline
  19mins
• Understanding the Overall Data Trends
  45mins
• Making Your Data Ready for the ML Model
  31mins
• Implementing Your Regression Solution
  43mins
• What Is Next?
  15mins