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Vegard Flovik
Vegard Flovik

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Published in Towards Data Science

·Jan 7

A Gentle Introduction to Monte Carlo Methods

With practical code examples in python — Monte Carlo methods are a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results. The underlying concept behind these methods is the use of randomness for solving problems that might in principle be deterministic. …

Data Science

14 min read

A Gentle Introduction to Monte Carlo Methods
A Gentle Introduction to Monte Carlo Methods

Nov 15, 2021

From Zero to One Million Views on Medium: A Data Science Perspective

The statistics behind the numbers — When I published my first article on “Towards Data Science” in the summer of 2018, little did I know that my articles would gain more than 1 million views a little more than two years later! Realizing quite recently that my total number of views passed the magic 1 million…

Data Science

8 min read

From Zero to One Million Views on Medium: A Data Science Perspective
From Zero to One Million Views on Medium: A Data Science Perspective

Published in Towards Data Science

·Oct 26, 2020

Deep learning based reverse image search for industrial applications

From unstructured data to content based image retrieval — Ever wondered how the Google reverse image search works, which take in an image and returns you the most similar images in a fraction of a second? For humans, evaluating the content of images is fairly straight forward, and determining whether an image contains a car, cat or a house…

Data Science

8 min read

Deep learning based reverse image search for industrial applications
Deep learning based reverse image search for industrial applications

Published in Towards Data Science

·Sep 27, 2020

Q&A with a Data Scientist

My transition from Physics to Data Science — In collaboration with a couple of other companies, I have recently been part of an initiative for creating an online learning program designed to improve the digital literacy of the workforce. In this context, I did an interview/Q&A session on various Data Science related topics a few weeks ago. As…

Towards Data Science

10 min read

Q&A with a Data Scientist
Q&A with a Data Scientist

Published in Towards Data Science

·Aug 12, 2020

What is Graph Theory, and why should you care?

From graph theory to path optimization — Graph theory might sound like an intimidating and abstract topic to you, so why should you even spend your time reading an article about it? However, although it might not sound very applicable, there are actually an abundance of useful and important applications of graph theory! In this article, I…

Towards Data Science

14 min read

What is Graph Theory, and why should you care?
What is Graph Theory, and why should you care?

Published in Towards Data Science

·Feb 28, 2020

Deep Transfer Learning for Image Classification

A step-by-step tutorial from data import to accuracy evaluation — The following tutorial covers how to set up a state of the art deep learning model for image classification. …

Towards Data Science

15 min read

Deep Transfer Learning for Image Classification
Deep Transfer Learning for Image Classification

Published in Towards Data Science

·Jan 2, 2020

How (not) to use Machine Learning for time series forecasting: The sequel

Time series forecasting is an important area of machine learning. It is important because there are so many prediction problems that involve a time component. However, while the time component adds additional information, it also makes time series problems more difficult to handle compared to many other prediction tasks. Time…

Machine Learning

13 min read

How (not) to use Machine Learning for time series forecasting: The sequel
How (not) to use Machine Learning for time series forecasting: The sequel

Published in Towards Data Science

·Nov 4, 2019

Building an AI that can read your mind

Machine learning for Mental State Classification using EEG data — AI that can read your mind This might sound like the plot from a dystopic future of a sci-fi movie. However, with recent progress, this technology is now taking the leap from science fiction to merely science. Autonomous non-invasive detection of brain activity is potentially useful in multiple domains such as human robot interaction and mental…

Machine Learning

8 min read

Building an AI that can read your mind
Building an AI that can read your mind

Published in Towards Data Science

·Sep 16, 2019

Machine Learning: From hype to real-world applications

How to utilize emerging technologies to drive business value. — The hype is real. Artificial Intelligence (AI) and Machine Learning (ML) is all over the media, and everyone wants to be involved in the technology race. Progress during the last few years has been absolutely tremendous, and you have probably heard claims such as “AI is the new electricity” and…

Machine Learning

11 min read

Machine Learning: From hype to real-world applications
Machine Learning: From hype to real-world applications

Published in Towards Data Science

·Aug 14, 2019

The hidden risk of AI and Big Data

Recent advances in AI have been made possible through access to “Big Data” and cheap computing power. But can it go wrong? — Big data is suddenly everywhere. From scarcity and difficulty to find data (and information), we now have a deluge of data. In recent years, the amount of available data has been growing in an exponential pace. This is in turn made possible due to the immense growth in number of…

Machine Learning

8 min read

The hidden risk of AI and Big Data
The hidden risk of AI and Big Data
Vegard Flovik

Vegard Flovik

Physicist and Data Scientist, passionate about science and technology. https://www.linkedin.com/in/vegard-flovik/

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