Unravel the complexities of machine learning in a way that's approachable for everyone, regardless of technical background. In Getting Started with Machine Learning, participants embark on a journey through the world of machine learning, understanding not only the what but the why and how behind this transformative technology.
Rather than diving deep into complex algorithms, this course takes a practical approach to machine learning. Participants engage in hands-on activities and discussions that showcase the real-world applications of machine learning in various industries including healthcare, finance, recommendation systems, and more.
Key takeaways from this class include:
- Breaking down the notion of machine learning into simple, relatable terms, offering a glimpse into how machines learn from data.
- Understanding the types of machine learning and their impact on everyday life.
- Demystifying machine learning algorithms by explaining their functions using familiar examples.
- Understanding critical ethical considerations like biases, fairness, and the responsible use of AI.
By the end of this course, participants emerge equipped with a clear understanding of the fundamental principles of machine learning, enabling them to engage in informed discussions and make sense of the pervasive role of this technology in our rapidly evolving world.
Who Should Attend
Anyone currently using GitHub (Basic to Advanced) or looking to adopt GitHub in their software development lifecycle.