Ivan Idris's Blog, page 7
June 25, 2013
Review of “Shadow of the Hegemon”
“Shadow of the Hegemon” is the second book in the Bean’s series or Shadow’s series. You can even say that it is part of the Ender’s Series. Bean is a genetically manipulated boy, that doesn’t stop growing. As a result … Continue reading →
June 20, 2013
Coursera Machine Learning Weeks 7 and 8
I was out of the office for personal reasons. As a result I am behind on the Coursera Machine Learning lectures. Here are my notes by video and topic: Support Vector Machines Optimization Objective – yet another long equation is … Continue reading →
June 1, 2013
Weekly Standup VI
First some classic Chuck Norris jokes: Chuck Norris wears Timeboxershorts. Chuck Norris pairs alone. Chuck Norris starts projects with a Roundhouse-Kickoff. Chuck Norris is not afraid of bugs, bugs are afraid of him. Chuck Norris has no burn-down chart. Around … Continue reading →
May 31, 2013
Using More Robust Statistics
This entry is part 24 of 24 in the series NumPy WeatherWe can make the code of NumPy Weather 22 more robust by: Computing the median instead of the mean Ignoring the outliers with a masked array 1 2 3 … Continue reading →
May 30, 2013
Outliers Analysis of Average De Bilt Temperature
This entry is part 23 of 23 in the series NumPy WeatherOutliers are values in a data set, that are to be considered extreme. Outliers can be caused by measurement or other type of errors or they could be caused … Continue reading →
May 29, 2013
Coursera Machine Learning Week 6
Week 6 is all about selecting models and system analysis. Basically, there are two major problems, one can encounter – underfitting or overfitting. These are also called high variance(overfit) and high bias(underfit). Overfitting can be avoided with regularization or by … Continue reading →
May 28, 2013
Review of “Ender’s Shadow”
“Ender’s Shadow” is a parallel novel to “Ender’s Game”. “Ender’s Game” is the first book in the Ender’s series. “Ender’s Shadow” is the first book in the Bean’s series. Both books are written from the perspective of a Battle School … Continue reading →
May 27, 2013
Time-dependent Temperature Mean Adjusted Autoregressive Model
This entry is part 22 of 22 in the series NumPy WeatherIt’s a mouthful, but it’s not nearly as complicated as it sounds. I am all for giving models catchy names, like Scheherazade or something. That’s a name that could … Continue reading →
May 26, 2013
Autoregressive Moving Average Temperature Model
This entry is part 21 of 21 in the series NumPy WeatherThe Autoregressive Moving Average Model (ARMA) mixes the autoregressive (AR) and moving average (MA) model. We discussed both models already. Informally we can say that we have the autoregressive … Continue reading →
May 25, 2013
Weekly Standup V
Another light bulb joke: Question: How many certified Scrum masters does it take to change a light bulb? Answer: An infinite number who would wait for the light bulb to do it itself through the principles of self-organization and emergence. … Continue reading →
