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Article

An Introduction to Time Series Forecasting

What is a time series? Many of the real world data are time series data, which comprises an important time axis. A time series data can be multivariate or uni-variate, and the time t can be continuous, such as the time series of electric signals...

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Article

Prompt-based Learning

A command prompt. With the advent of the language model GPT-3¹ in 2020 [1], it turns out that you don’t need to be a Data Scientist anymore to create powerful applications with Natural Language Processing (NLP). Actually, you might not even need...

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Article

Flow-based Generative Models

Based on the intuitive meaning, generative models are responsible for creating new instances of data. Discriminative models on the other hand are responsible for discriminating or distinguishing between various kinds of instances of data. To...

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Article

Philosophy of AI: The Turing Test and Chinese Room Argument

In this article, I will introduce several fundamental concepts in the philosophy of AI, namely the Turing test and the Chinese room argument, which aim to provide insight into these questions. Both of these thought experiments provide us with a...

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Article

Trends in AI: What are KTH Students Most Interested in?

At the KTH AI Society, we aim to represent and strengthen this AI culture by building a competent community of KTH students. This includes organizing events, creating videos and articles (like this one!), and collaborating with other...

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Article

The rise of the Data Engineer

Data Engineering VS Data Science (by Terence Shin) The last years have seen the ascent of a new job title taking job boards and tech board rooms by storm. With the lofty expectations of the former sexiest job of the 21st century finally brought...

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Article

Using SHAP to Explain Machine Learning Models

Explainable AI is what many consider the ‘ideal’ solution to this problem and, although the existing research is not quite far enough to provide us with a detailed, human readable description of a model’s process throughout inference; some of the...

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Article

Representation learning — The core of machine learning

Representation learning is a key concept in machine learning, which has become tightly connected to deep neural networks in recent years. In machine learning representations are used to transform the input data to a mathematical form, which can be...

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Article

Nordic-China AI Synergies Report

It is with great pleasure that we present our very first research report on the topic of Nordic-China AI Synergies! Together with NCSF, KTHAIS took the initiative to send Jacob Stubbe Østergaard (NCSF, lead author) and Alfred Wahlforss (KTHAIS,...

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Article

What is Elements of AI?

Elements of AI is a yearly, free-of-charge mini-course organized by the KTH AI Society. It's open for anyone looking to get a better understanding of what Artificial Intelligence is and how it can be used - no technical background needed. Students...

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Article

Partnership with McKinsey & Company

Hello, fellow KTHAISers! We are thrilled to announce our partnership with McKinsey & Company! They are now the society's main partner and will open up a new world of possibilities for us in terms of events, projects and impact. Their analytics...

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