Machine Learning : The Introduction

In this special introduction episode, we open Season 2 of the Adapticx AI Podcast by shifting our focus from the foundations of artificial intelligence to one of its most transformative ideas: machine learning.Season 1 took us through the origins of AI—from Turing’s early thought experiments and symbolic reasoning, to expert systems, AI winters, and the essential building blocks that shaped the field. In this episode, we connect that journey to what comes next: the rise of learning-based systems.We explore why early AI systems struggled with complexity, why hand-crafted rules couldn't scale, and how researchers began asking a new question: What if machines could learn patterns directly from data?This season is dedicated to understanding that shift. We introduce the motivations behind machine learning, the high-level ideas behind supervised and unsupervised learning, reinforcement learning, classical algorithms, and the engineering principles that make modern AI work.By the end of Season 2, you’ll have a clear, intuitive understanding of what machine learning is, why it matters, and how it changed the trajectory of artificial intelligence.If you enjoy the show and want to follow the full discussion, this episode is part of the Adapticx AI Podcast. You can listen using the provided link or by searching “Adapticx” on Apple Podcasts, Spotify, Amazon Music, and most other podcast platforms.

There are no comments yet.

Please log in to write the first comment.