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Hosted by ComputerScience · 🇺🇸 US · EN · 11 episodes
Established thought leaders with verified media credentials.
Machine learning (ML) is a field of computer science that allows systems to learn from experience and improve their performance. ML is used to solve problems that are difficult or impossible to program explicitly, such as speech recognition and navigating on Mars. ML is similar to statistics, but its focus is on building autonomous agents rather than helping humans draw conclusions. ML can be supervised (expected output is given) or unsupervised (no expected output given).
ComputerScience hosts Advanced Machine Learning, a education show with 11 episodes published.
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
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 powerfu
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
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 proces
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 c
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 mo
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
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 th
The source material focuses on the development and training of neural networks. The first source introduces multilayer perceptrons (MLPs), which overcome the limitations of simple perceptrons by incorporating hidden laye
The two source texts, "02. Introduction to Neural Networks (Slides).pdf" and "02.2 Optional Slides.pdf", provide an introduction to the concept of neural networks and explore their potential applications. The first text
This source is a comprehensive introduction to machine learning, covering various aspects of the field. It starts by explaining the core concept of learning and its applications in different scenarios. The text then expl
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Advanced Machine Learning is hosted by ComputerScience. The show is categorised under education (courses) and has published 11 episodes.
Advanced Machine Learning has published 11 episodes.
Advanced Machine Learning regularly covers education, courses. It sits in the education category, with a courses focus.
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Episodes of Advanced Machine Learning average 25 minutes. a focused format where a clear narrative arc and tight preparation matter most.
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