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Hosted by Elius Etienne · 🇺🇸 US · EN-US · 15 episodes
Established thought leaders with verified media credentials.
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.
Elius Etienne hosts AI-ML Decoded: From Fundamentals to Future, a education show with 15 episodes published.
Episode 14: An Overview of MLOps In our season finale, we answer the most practical question of all: What happens after the model is trained? We explore MLOps—the critical "assembly line" practices that take a model from
Episode 13: An Overview of Machine Learning Libraries Developers don't build AI from scratch. In this episode, we open the toolbox to explore the essential Machine Learning Libraries and frameworks that power the industr
Episode 12: An Overview of Model Training We've used the word "training" in every episode. Now, we break down exactly what it means. In this episode, we explore the step-by-step workflow of how a model actually "learns"
Episode 11: An Overview of Generative AI It’s the topic everyone is talking about. In this episode, we broaden our scope from NLP to the entire field of Generative AI—the technology that creates original text, images, co
Episode 10: An Overview of Natural Language Processing If Computer Vision allows machines to "see," Natural Language Processing (NLP) allows them to "understand." In this episode, we explore the science behind how comput
Episode 9: An Overview of Computer Vision If Deep Learning is the engine, Computer Vision is the eyes. In this episode, we explore how machines process, analyze, and "see" the world around them—from detecting tumors in X
Episode 8: An Overview of Deep Learning In almost every episode so far, we've mentioned "Neural Networks." Now, we finally pull back the curtain to explain the engine behind modern AI. In this episode, we explore Deep Le
Episode 7: An Overview of Reinforcement Learning So far, we have discussed models that learn from static datasets. Now, we enter the dynamic world of Reinforcement Learning (RL), where "agents" learn to master their envi
Episode 6: An Overview of Self-Supervised Learning We have explored learning with labels and learning without them. Now, we examine the "magic" trick of modern AI: Self-Supervised Learning (SSL), where the model creates
Episode 5: An Overview of Semi-Supervised Learning What do you do when you have a mountain of data, but only a handful of labels? In this episode, we explore Semi-Supervised Learning, the hybrid approach that solves the
Episode 4: An Overview of Unsupervised Learning What happens when you don't have an "answer key"? In this episode, we explore Unsupervised Learning, the branch of AI tasked with finding hidden patterns and structures in
Episode 3: An Overview of Supervised Learning Now that we understand "features," how do models actually learn from them? In this episode, we break down Supervised Learning—the most common approach in modern AI where mode
Episode 2: An Overview of Feature Engineering Before a model can "learn" anything, the raw data must be translated into a language it understands. In this episode, we explore Feature Engineering—the critical, often overl
Episode 1: An Overview of Machine Learning In our series premiere, we start at the top with a high-level map of the Machine Learning landscape. Mark and Rachel break down the buzzwords to explain exactly how these system
Welcome to AI-ML Decoded: Your Guide to Artificial Intelligence and Machine Learning. The world of AI is transforming society in real-time, but keeping up with the technical details can feel overwhelming. In this introdu
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AI-ML Decoded: From Fundamentals to Future is hosted by Elius Etienne. The show is categorised under education (courses) and has published 15 episodes.
AI-ML Decoded: From Fundamentals to Future has published 15 episodes.
AI-ML Decoded: From Fundamentals to Future regularly covers education, courses. It sits in the education category, with a courses focus.
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