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Courses · Elius Etienne

AI-ML Decoded: From Fundamentals to Future

by Elius Etienne

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.

Latest episodes

Showing 15 · updated from the feed

E14. An Overview of MLOps

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 critic

Jan 11
9 min

E13. An Overview of Machine Learning Libraries

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 Learn

Jan 11
6 min

E12. An Overview of Model Training

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

Jan 11
8 min

E11. An Overview of Generative AI

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—th

Jan 11
12 min

E10. An Overview of Natural Language Processing

Episode 10: An Overview of Natural Language Processing If Computer Vision allows machines to "see," Natural Language Processing (NLP) allows them to "understand." In thi

Jan 11
8 min

E09. An Overview of Computer Vision

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 "se

Jan 11
7 min

E08. An Overview of Deep Learning

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 be

Jan 11
10 min

E07. An Overview of Reinforcement Learning

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 Learn

Jan 11
9 min

E06. An Overview of Self-Supervised Learning

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-

Jan 11
14 min

E05. An Overview of Semi-Supervised Learning

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-Superv

Jan 11
10 min

E04. An Overview of Unsupervised Learning

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 tas

Jan 11
8 min

E03. An Overview of Supervised Learning

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 Learni

Jan 11
6 min

E02. An Overview of Feature Engineering

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 ex

Jan 11
6 min

E01. An Overview of Machine Learning

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 dow

Jan 11
7 min

Intro

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 techn

Jan 11
2 min

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