AI-ML Decoded: From Fundamentals to Future

By Elius Etienne

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Category: Courses

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Episodes: 15

Description

The world of AI moves fast. This podcast bridges the gap between simple overviews and dense technicality. Whether you are a Data Scientist prepping for interviews, a student navigating the math, a business leader, or just a curious soul, this is your roadmap. We skip the hype to provide a rigorous, practical guide to the "how" and "why" of Machine Learning. Note: In the spirit of the topic, this show uses AI-generated voices and scripts. However, accuracy is our priority: all content is rigorously verified by a human expert with a PhD in Engineering and professional ML experience.

Episode Date
E14. An Overview of MLOps
Jan 11, 2026
E13. An Overview of Machine Learning Libraries
Jan 11, 2026
E12. An Overview of Model Training
Jan 11, 2026
E11. An Overview of Generative AI
Jan 11, 2026
E10. An Overview of Natural Language Processing
Jan 11, 2026
E09. An Overview of Computer Vision
Jan 11, 2026
E08. An Overview of Deep Learning
Jan 11, 2026
E07. An Overview of Reinforcement Learning
Jan 11, 2026
E06. An Overview of Self-Supervised Learning
Jan 11, 2026
E05. An Overview of Semi-Supervised Learning
Jan 11, 2026
E04. An Overview of Unsupervised Learning
Jan 11, 2026
E03. An Overview of Supervised Learning
Jan 11, 2026
E02. An Overview of Feature Engineering
Jan 11, 2026
E01. An Overview of Machine Learning
Jan 11, 2026
Intro
Jan 11, 2026