Top KDnuggets tweets, Feb 22-28: Quantifying Similarity in Structured Data; #Oscar #DataScience: 4-5 nominations no guarantee of winning

Top KDnuggets tweets, Feb 22-28: Quantifying Similarity in Structured Data; #Oscar #DataScience: 4-5 nominations no guarantee of winning Previous post            Tweet Tags: Bayesian, CNTK, Donald Trump, Movies, Similarity A Statistical View of #DeepLearning; Impressive tutorial – Tree Kernels: Quantifying Similarity in Structures; Conversation with Data Scientist Sebastian Raschka – new podcast; How to become a #Bayesian in…
Original Post: Top KDnuggets tweets, Feb 22-28: Quantifying Similarity in Structured Data; #Oscar #DataScience: 4-5 nominations no guarantee of winning

Machine Learning at your fingertips – 60+ free APIs, from HPE Haven OnDemand

Previous post            Tweet Tags: Amsterdam, API, Beijing, CA, Haven OnDemand, HPE, Machine Learning, Palo Alto, Paris, Singapore HPE Haven on Demand has 60+ Machine Learning free APIs to connect, extract, analyze, search, predict – get your API Key and RSVP for the HPE Analytics World Tour.   Get your free API key RSVP Today for the HPE…
Original Post: Machine Learning at your fingertips – 60+ free APIs, from HPE Haven OnDemand

R-based data maps in PowerBI

One of benefit of integrating R with PowerBI is access to rich array of data visulizations not present in the standard PowerBI loadout. R is practically unlimited in the types of graphics it can create (although the amount of programming required can vary from a few lines using an existing R package, to large custom functions for truly bespoke graphics). Some…
Original Post: R-based data maps in PowerBI

R-based data maps in PowerBI

One of benefit of integrating R with PowerBI is access to rich array of data visulizations not present in the standard PowerBI loadout. R is practically unlimited in the types of graphics it can create (although the amount of programming required can vary from a few lines using an existing R package, to large custom functions for truly bespoke graphics). Some…
Original Post: R-based data maps in PowerBI

Toying with models: The Game of Life with selection

Conway’s Game of life is probably the most famous cellular automaton, consisting of a grid of cells developing according simple rules. Today, we’re going to add mutation and selection to the game, and see let patterns evolve. The fate of a cell depends on the number cells that live in the of neighbouring positions. A cell with fewer than two…
Original Post: Toying with models: The Game of Life with selection

How The Algorithm Economy And Containers Are Changing The Apps

Previous post Next post            Tweet Tags: Algorithmia, Algorithms, Applications, Diego Oppenheimer Algorithmic Intelligence has been a driving force for many today’s technology companies. Understand how these organisations are using algorithms and container services for creating value from data. comments By Diego Oppenheimer, Co-Founder and CEO, Algorithmia. In the age of Big Data, algorithms give companies a competitive…
Original Post: How The Algorithm Economy And Containers Are Changing The Apps

Yahoo! CaffeOnSpark: Distributed Deep Learning on Big Data Clusters

Yahoo! CaffeOnSpark: Distributed Deep Learning on Big Data Clusters Previous post Next post            Tweet Tags: Caffe, Deep Learning, Distributed Systems, Spark Get an overview of Yahoo!’s CaffeOnSpark, the latest entrant into the world of distributed deep learning, directly from the developers. By Andy Feng(@afeng76), Jun Shi and Mridul Jain (@mridul_jain), Yahoo Big ML Team. Introduction Deep learning…
Original Post: Yahoo! CaffeOnSpark: Distributed Deep Learning on Big Data Clusters

Fitting the birthday model in Stan

Fitting the birthday model in Stan Posted by Andrew on 29 February 2016, 10:57 am I’m scheduling these posts a few months ahead of time, and I realize this is the perfect date for an update on the birthday model. Can we fit in Stan yet? As of this writing, I don’t know. But Aki and Seth assure me that we’re…
Original Post: Fitting the birthday model in Stan

The Force Awakens In Data – Industry Leaders Comment

Previous post Next post            Tweet Tags: Gartner, Industry, LinkedIn, Lutz Finger, Star Wars While Rey, saw her force come to life in less then 30min, the data industry has been waiting for ‘that’ to happen, for half a decade. However, finally, business-focused analytics and data discovery are on the rise. comments By Lutz Finger, LinkedIn. How does…
Original Post: The Force Awakens In Data – Industry Leaders Comment

Batch Forecasting in R

Given a data frame with multiple columns which contain time series data, let’s say that we are interested in executing an automatic forecasting algorithm on a number of columns. Furthermore, we want to train the model on a particular number of observations and assess how well they forecast future values. Based upon those testing procedures, we will estimate the full…
Original Post: Batch Forecasting in R