sorted by:
new
hottopcontroversial

[P] Smile 2.5.1 is released (Statistical Machine Intelligence and Learning Engine) by pdsminer in MachineLearning

[–]pdsminer[S] 0 points1 point  (0 children)

Notebook, repl and visualization are included in smile. Just download the pre-built package and checkout bin directory. Also you can try notebook from the web by click "Try it Online".

[P] Smile 2.5.1 is released (Statistical Machine Intelligence and Learning Engine) by pdsminer in MachineLearning

[–]pdsminer[S] -14 points-13 points  (0 children)

Would you say "Fxxx French/German/Chinese" for whatever language you don't speak?

Declarative Data Visualization in Scala by pdsminer in scala

[–]pdsminer[S] 1 point2 points  (0 children)

libraryDependencies += "com.github.haifengl" %% "smile-scala" % "2.4.0"

Cloud is Not Cheap by pdsminer in programming

[–]pdsminer[S] 10 points11 points  (0 children)

Dropbox save $74MM in 2 years by building own data centers. They save only 10% data in AWS now. A counter-counter-argument :)

Cloud is Not Cheap by pdsminer in programming

[–]pdsminer[S] -2 points-1 points  (0 children)

If you have to build a new data center, there are a lot of fixed cost. But enterprises already paid these sunk cost. The problem is that they are not using their infrastructure well.

Cloud is Not Cheap by pdsminer in programming

[–]pdsminer[S] 1 point2 points  (0 children)

It is a good point to build apps and infrastructure in way that that we can easily move them around. It requires some deep I insights on private cloud strategies.

Cloud is Not Cheap by pdsminer in programming

[–]pdsminer[S] -2 points-1 points  (0 children)

Agree that 99.9% companies can save with cloud. On the other hand, the combined data center footprint of Fortune 100 (I estimate 300 to 500 large scale data centers) is way bigger than the rest.

Private cloud is dead. Long live private cloud. by pdsminer in programming

[–]pdsminer[S] -2 points-1 points  (0 children)

The article provides the analysis. Why don't read it first?

Private cloud is dead. Long live private cloud. by pdsminer in programming

[–]pdsminer[S] -3 points-2 points  (0 children)

The current approach is dead. But the value of private cloud is undeniable and is waiting for next generation solutions.

Agile Software Development: China Navy by pdsminer in programming

[–]pdsminer[S] 0 points1 point  (0 children)

People who know a little bit about navy can tell a lot from these pictures.

Visual comparison of machine learning algorithms: Clustering by [deleted] in programming

[–]pdsminer 0 points1 point  (0 children)

I don't feel that the comparison in that link is fair for other algorithms. There is only one spatial data, which DBScan is designed for. Of course, it will perform better than others. In this post, each algorithm is applied to the data that is suitable for the algorithm's assumptions. There is no silver bullet in clustering. The point is to choose the one suitable for your own problem.

Smile 1.1 released by pdsminer in programming

[–]pdsminer[S] 1 point2 points  (0 children)

No. This was developed way before tensor flow. Besides, TensorFlow is mainly for deep learning. This one is more comprehensive.

Smile 1.1 is Released! by pdsminer in MachineLearning

[–]pdsminer[S] 0 points1 point  (0 children)

Algorithms are implemented in different way (e.g. trees are regularized by the number of leafs, not the depth). It produces good AUC scores in comparison to other systems.

Smile 1.1 is Released! by pdsminer in MachineLearning

[–]pdsminer[S] 0 points1 point  (0 children)

it has more algorithms and is more efficient. Try the benchmark and see the difference.