Plotting data on the graph is like looking at a bunch of stars. They all look the same and the data is difficult to interpret. What if there was a method to colour the stars?
Red stars are associated with red flowers and blue stars are associated with yellow flowers
Cluster analysis groups observations into subsets based on the similarity of responses on various relational variables, called clusters. The data is plotted on a graph and different clusters are coloured and separated to make sense of data. Today we will be using the same data set (NESARC wave 1) as the previous two examples: 1, 2
Lasso regression (AKA Penalized regression method) is often used to select a subset of variables. It is a supervised machine learning method which stands for “Least Absolute Selection and Shrinkage Operator”.
The shrinkage process identifies the variables most strongly associated with the selected target variable. We will be using the same target and explanatory variables from the post on Random Forests. This helps us compare the different ways to select important variables that affect the target.
A decision tree can predict a particular target or response. The decision tree below was made by me using machine learning to test against several relationships which can be found in the National Longitudinal Study of Adolescent Health survey performed in the United States.
The syntax is provided at the end of the post.
Bitcoin, Ethereum, ETC, Ripple, Litecoin and Dash, which one should you invest in and why? The truth is there is no right answer as the answer will change depending on when these commodities become overvalued/appreciated.
Ethereum’s price over the last few months
Anytime is a good time to start investing but there are a few basic fundamentals to read up on before entering the cryptomarket.
Posted in Blog/Updates
Tagged bitcoin, blockchain, cryptocurrency, Dash, ETC, ethereum, explanation, investment, litecoin, mining, ripple, Titcoin
TensorFlow is developed by Google and released as an open source software library for machine learning, specifically to training neural networks to to detect and decipher patterns and correlations. I would not say that the software would be analogous to human reasoning, but the behavior is more akin to teaching a dog to follow commands. However, the more data you have, the smarter your software is, making your deep neural network smarter than a dog, slightly dumber than a human, but probably more consistent than both. Today, the tutorial will be based on reading chest radiographs.
The chest radiograph is easy to learn but hard to master. The basics of radiology is embedded within the chest radiograph itself and tests the reader on evaluating the soft tissues, bones, air and sometimes fluid.
Wayland is a lightweight display server protocol that is already severely overdue to replace XORG. There has always been a master plan to include Wayland into Ubuntu.
What does this mean?
It means Linux/Ubuntu will now be easier to develop, use less resources and will probably get better compatibility in the future. Perhaps April 2018 will be The Year of the Linux Desktop. It can also mean nothing, depending on how well people adopt it.
When is it released?
Wayland will first be released on Ubuntu on the 17.10 version. There will be need to iron out some bugs, but this will also be the best time to demonstrate the its benefits. Say hi to full resolution splash screens.
Why X isn’t good enough?
I was born in 1987. The X version became 11 and that was when X11-protocol was also born. A lot have changed over the past 30 years but…
Problems with Wayland
Any project will definitely have a lot of issues, but Wayland has been out for extended amount of time with many hiccups. It also has issues with propriety software like NVIDIA and AMD. FGLRX and the NVIDIA propriety software do not have KMS support and hence do not work well with Wayland. What is the point of a more responsive system when you can’t play games?
In a way, Wayland does not attempt to make life easier for end-users. Users are not interested in the technology, they are interested in getting their job done.
“If X works good enough, why do you need Wayland?” – said no linux elitist ever.