Innhold om Maskinlæring
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Uncertainty in Machine Learning
Some things in life are certain - for instance, we tend to take for granted that the sun will rise every day. Similarly, everyone knows that each Christmas, Canadian-Italian singer-songwriter Michael Bublé will emerge from his secret hideaway and top Christmas playlists yet again.
Some things in life are certain - for instance, we tend to take for granted that the sun will rise every day. Similarly, everyone knows that each Christmas, Canadian-Italian singer-songwriter Michael Bublé will emerge from his secret hideaway and top Christmas playlists yet again.
Style Transfer
Usually we let neural networks adapt their parameters to data, for instance images. Ever wondered what happens if we instead adapt images to match the network? Style transfer applies the style of one image onto another, and it's a crowd-pleaser.
Usually we let neural networks adapt their parameters to data, for instance images. Ever wondered what happens if we instead adapt images to match the network? Style transfer applies the style of one image onto another, and it's a crowd-pleaser.
Neural Networks
If you have paid some attention to the artificial intelligence community the latest years, you’re bound to have heard of neural networks. These kinds of computational algorithms have pushed the boundaries of machine learning in pretty much every sub field there is. But what are they really?
If you have paid some attention to the artificial intelligence community the latest years, you’re bound to have heard of neural networks. These kinds of computational algorithms have pushed the boundaries of machine learning in pretty much every sub field there is. But what are they really?
Lies, damned lies and statistics
Is it straight forward to collect unbiased data for the average spending on Christmas gifts in Oslo? Did Nicolas Cage cause swimming pool drownings in US in 1999 to 2009? And how can your understanding of Bayesian probability help to prevent your doctor from erroneously removing your breasts? Read on to find out.
Is it straight forward to collect unbiased data for the average spending on Christmas gifts in Oslo? Did Nicolas Cage cause swimming pool drownings in US in 1999 to 2009? And how can your understanding of Bayesian probability help to prevent your doctor from erroneously removing your breasts? Read on to find out.
Customer segmentation
How can we use methods from machine learning, along with traditional principles from service design, to get a better understanding of our customers and their needs?
How can we use methods from machine learning, along with traditional principles from service design, to get a better understanding of our customers and their needs?
Spice up you graphs!
Why is it important to make beautiful graphs? Isn't it most important what the numbers show?
Why is it important to make beautiful graphs? Isn't it most important what the numbers show?
How good is a model based on historical data?
Machine learning algorithms are helping us predict the future by learning patterns from past observations. How does this effect the way we assess our models?
Machine learning algorithms are helping us predict the future by learning patterns from past observations. How does this effect the way we assess our models?
Lost in branches?
First of all, this is not a Git article. This article will give a short introduction to a set of trees almost as powerful as Christmas trees: decision trees.
First of all, this is not a Git article. This article will give a short introduction to a set of trees almost as powerful as Christmas trees: decision trees.
It’s the economy, stupid!
Up until now we have learnt what machine learning is and looked at some initial examples. But before we move on with more details of how to do machine learning we must first talk about why. In this blog post we‘ll present a high-level overview of practical application before diving into a real-life example from our work at the Center for Service Innovation (CSI) in Norway. The basic concept? It‘s all about business value!
Up until now we have learnt what machine learning is and looked at some initial examples. But before we move on with more details of how to do machine learning we must first talk about why. In this blog post we‘ll present a high-level overview of practical application before diving into a real-life example from our work at the Center for Service Innovation (CSI) in Norway. The basic concept? It‘s all about business value!
Linear Models
There are many different types of machine learning models. Linear models are some of the simplest, but also some of the most widely used. In this post we’ll explain what a linear model is and why linear models are so popular.
There are many different types of machine learning models. Linear models are some of the simplest, but also some of the most widely used. In this post we’ll explain what a linear model is and why linear models are so popular.
What is Machine Learning?
Finally December!
Welcome! Welcome to our Christmas calendar for machine learning and data science, one of 12 (!) calendars prepared by Bekk this year.
Welcome! Welcome to our Christmas calendar for machine learning and data science, one of 12 (!) calendars prepared by Bekk this year.