The AI Concepts Podcast

By Sheetal ’Shay’ Dhar

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Category: Technology

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Episodes: 38

Description

The AI Concepts Podcast is my attempt to turn the complex world of artificial intelligence into bite-sized, easy-to-digest episodes. Imagine a space where you can pick any AI topic and immediately grasp it, like flipping through an Audio Lexicon - but even better! Using vivid analogies and storytelling, I guide you through intricate ideas, helping you create mental images that stick. Whether you’re a tech enthusiast, business leader, technologist or just curious, my episodes bridge the gap between cutting-edge AI and everyday understanding. Dive in and let your imagination bring these concepts to life!

Episode Date
Deep Learning Series: Autoencoders
Jul 17, 2025
Deep Learning Series: Transformers
Jul 17, 2025
Deep Learning Series: Attention Mechanism
Jul 17, 2025
Deep Learning Series: Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU)
Apr 13, 2025
Deep Learning Series: Recurrent Neural Network
Apr 13, 2025
Deep Learning Series: Convolutional Neural Network
Apr 13, 2025
Deep Learning Series: What is Batch Normalization?
Apr 13, 2025
Deep Learning Series: Advanced Optimizers Part II - RMSprop and ADAM
Apr 11, 2025
Deep Learning Series: Advanced Optimizers - SGD and SGDM
Apr 11, 2025
Deep Learning Series: What is Gradient Descent?
Apr 10, 2025
Deep Learning Series: What is Backpropagation?
Apr 09, 2025
Deep Learning Series: What is a Feedforward Neural Network?
Apr 08, 2025
Deep Learning Series: What is a Neural Network?
Apr 07, 2025
Deep Learning Series : What is Deep Learning?
Apr 07, 2025
Markov Decision Processes (MDPs): The Framework Behind Smart Decision-Making in AI
Jan 30, 2025
Gradient Descent Explained: How ML Models Learn to Optimize
Jan 29, 2025
Principal Component Analysis: What It Is and How It Works
Jan 28, 2025
What is K-Nearest Neighbors and How Does It Work?
Jan 27, 2025
What Is K-Means Clustering and How Does It Work?
Dec 20, 2024
What Is Support Vector Machine and How Does It Work?
Dec 20, 2024
What Are Ensemble Methods and How They Work ?
Dec 20, 2024
What Is Random Forest and How Does it Work?
Dec 20, 2024
What Is a Decision Tree and How Does It Work?
Dec 20, 2024
What is Logistic Regression and How Does It Work?
Dec 15, 2024
What Is Linear Regression and How Does It Work?
Dec 15, 2024
Machine Learning Series: The Machine Learning Workflow
Dec 10, 2024
AI Essentials Series - Precision, Recall, F1 Score, ROC and AUC
Nov 21, 2024
AI Essentials Series - Evaluating AI Models: The Accuracy Trap
Nov 21, 2024
AI Essentials Series - How do AI Models Learn?
Nov 06, 2024
AI Essentials Series - Classification Vs Regression in Machine Learning
Nov 06, 2024
AI Essentials Series - What is Reinforcement Learning?
Nov 05, 2024
AI Essentials Series - What is Unsupervised Learning?
Nov 04, 2024
AI Essentials Series - What is Supervised Learning?
Nov 03, 2024
AI Essentials Series - Understanding Data, Algorithms, and Compute
Nov 02, 2024
AI Essentials Series - AI vs. Machine Learning vs. Deep Learning: Key Differences Explained
Nov 01, 2024
AI Essentials Series - The Evolution of AI
Oct 31, 2024
AI Essentials Series - What is AI?
Oct 30, 2024
Welcome: Who Should Listen to This Podcast
Oct 29, 2024