Advanced Machine Learning

This lecture slideshow explores the world of Large Language Models (LLMs), detailing their architecture, training, and application. It begins by explaining foundational concepts like recurrent neural networks (RNNs) and Long Short-Term Memory (LSTM) ... more

Forecasting, the process of predicting future events, is a fundamental element of many disciplines, including economics, meteorology, and social sciences. This text provides an overview of time series analysis, a powerful technique for understanding ... more

This source is a lecture on sequence-to-sequence learning (Seq2Seq), a technique for training models to transform sequences from one domain to another. The lecture explores various examples of Seq2Seq problems, including machine translation, image ca... more

The source material explores the challenges and techniques for detecting concept drift in machine learning models. It examines several methods categorized by their approach, including error rate-based, statistical process control, and distance-based ... more

The source is a series of lecture notes on Generative Adversarial Networks (GANs). It begins with an introduction to generative models, comparing and contrasting them with discriminative models, and then introduces the concept of adversarial training... more

The provided text, excerpts from "06. Introduction to Basic Deep Learning (Slides).pdf," is a series of lecture slides covering the fundamentals of deep learning. The slides introduce the concept of deep learning as a more advanced form of machine le... more

These lecture slides discuss transfer learning in machine learning, which is a technique that reuses a pre-trained model for one task to improve the performance of a new model for a different but related task. The slides explain different approaches ... more

The source describes dimensionality reduction, a technique used to simplify and improve the performance of machine learning algorithms when dealing with high-dimensional datasets. The curse of dimensionality refers to the challenges that arise when a... more