Boosting is another famous ensemble learning technique in which we are not concerned with reducing the variance of learners like in Bagging where our aim is to reduce the high variance of learners by averaging lots of models fitted on bootstrapped data samples generated with replacement from training data, so ...

Mango Solutions are thrilled to announce that Tareef Kawaf, President of RStudio, will be joining us at EARL Boston as our third Keynote Speaker. Tareef is an experience...

Owen Jones, Placement Student A quick disclaimer: This post isn’t called H2O.ai: Going for the 100m freestyle world record. I’m not trying to win a Kaggle competition. I’m not carrying out detailed, highly-controlled benchmarking tests. I’m not, in fact, claiming to be doing anything ...

The package FedData has gone through software review and is now part of rOpenSci. FedData includes functions to automate downloading geospatial data available from several federated data sources (mainly sources maintained by the US Federal government). Currently, the package enables extraction from six datasets: The National Elevation Dataset (NED) digital ...

Before recession a commercial tool was popular in the country, hence, uncertainty around tools and technology was not much; however, after recession, incertitude (i.e. uncertainty) around tools and technology have pre-occupied and occupying data sc...

Euler problem 30 is another number crunching problem that deals with numbers to the power of five. Two other Euler problems dealt with raising numbers to a power. The previous problem looked at permutations of powers and problem 16 asks for … Continue reading → The post Digit fifth powers: Euler Problem 30 appeared first ...

Euler problem 30 is another number crunching problem that deals with numbers to the power of five. Two other Euler problems dealt with raising numbers to a power. The previous problem looked at permutations of powers and problem 16 asks for … Continue reading → The post Digit fifth powers: Euler Problem 30 appeared first ...

Introduction Dynamic systems are usually represented by a model before they can be analyzed computationally. These dynamic systems are systems that change, evolve or have their states altered or varied with time based on a set of defined rules. Dynamic systems could be mechanical, electrical, electronic, biological, sociological, and so ...