#29 - One-shot, Few-shot, and Zero-shot Learning: Handling Data Scarcity in Machine Learning

08/06/23 • 21 min

Dive into the fascinating world of one-shot, few-shot, and zero-shot learning in this episode of "The AI Frontier". Discover how these innovative techniques tackle data scarcity in machine learning, explore key algorithms, and learn about their real-world applications. We'll also discuss the challenges these methods face and share success stories of their implementation. Join us as we explore the future of these techniques and their potential impact on the field of AI.Support the Show.Keep AI...

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#28 - Time Series Forecasting Explained: Trends, Seasonality, and More

Embark on a journey into the world of Time Series Forecasting in this episode of "The AI Frontier". Discover the importance of trends and seasonality, and explore advanced forecasting techniques like ARIMA, SARIMA, and Prophet. Learn about the challenges in time series forecasting and how to address them. Whether you're a data science enthusiast or a professional in the field, this episode will equip you with the knowledge and insights to make accurate and effective forecasts.Support the Show...

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#30 - The Art of Feature Engineering: Crafting Input for Machine Learning Models

In this episode of "The AI Frontier," we delve into the fascinating world of feature engineering in machine learning. We start by understanding what feature engineering is and why it's crucial in machine learning. We then explore various techniques for feature engineering, from basic methods like binning and scaling to advanced concepts like automated feature engineering and feature selection. We also discuss how these techniques can be applied to different types of data, including text, imag...