[airbnb] BigDataFr recommends: Aerosolve: Machine learning for humans #machine-learning

BigDataFr recommends: Aerosolve: Machine learning for humans « Have you ever wondered how Airbnb’s price tips for hosts works? In this dynamic pricing feature, we show hosts the probability of getting a booking (green for a higher chance, red for a lower chance), or predicted demand, and allow them to easily price their listings dynamically with […]

[O’R] BigDataFr recommends: The O’Reilly Data Show Podcast-Phil Liu #machine-learning #SaaS

BigDataFR recommends: The O’Reilly Data Show Podcast-Phil Liu, co-founder and CTO of SignalFx Building self-service tools to monitor high-volume time-series data on the evolution of metric monitoring tools and cloud computing. Phil Liu Building on the evolution of metric monitoring tools and cloud computing. One of the main sources of real-time data processing tools is IT […]

[Rayli] BigDataFr recommends: Top 10 data mining algorithms in plain R #datamining #algorithm #machine learning

BigDataFr recommends: Top 10 data mining algorithms in plain R Knowing the top 10 most influential data mining algorithms is awesome. Knowing how to USE the top 10 data mining algorithms in R is even more awesome. That’s when you can slap a big ol’ “S” on your chest… because you’ll be unstoppable! By the […]

[IBM] BigDataFr recommends: Spark speeds towards the next data processing revolution #Apache Spark

BigDataFr recommends: Spark speeds towards the next data processing revolution  »“A mighty flame followeth a tiny spark.” —Dante Alighieri If you know anything about Apache Spark, you know that its chief claim to fame is speed. With in-memory processing, Spark can achieve ten to hundredfold improvements or more in data-processing times compared to traditional MapReduce. […]

[arXiv] BigDataFr recommends: Predicting Regional Economic Indices using Big Data of Individual Bank Card Transactions #machine learning #datascientist

BigDataFr recommends: Predicting Regional Economic Indices using Big Data of Individual Bank Card Transactions ‘For centuries quality of life was a subject of studies across different disciplines. However, only with the emergence of a digital era, it became possible to investigate this topic on a larger scale. Over time it became clear that quality of […]

[Forbes] BigDataFr recommends: The New Analytics Professional: Landing A Job In The Big Data Era #datascientist

BigDataFr recommends: The New Analytics Professional: Landing A Job In The Big Data Era ‘Along with the usual pomp and celebration of college commencements and high school graduation ceremonies we’re seeing now, the end of the school year also brings the usual brooding and questions about careers and next steps. Analytics is no exception, and […]

[Gartner Blog Network] BigDataFr recommends: The Internet of Things Will Give Rise To The Algorithm Economy

BigDataFr recommends: The Internet of Things Will Give Rise To The Algorithm Economy It’s hard to avoid. Almost every CEO’s conversation about how IT is driving innovation inevitably comes back to the potential of big data. But data is inherently dumb. It doesn’t actually do anything unless you know how to use it. And big […]

[arXiv] BigDataFr recommends: Behaviour of ABC for Big Data #datascientist #machinelearning

BigDataFr recommends: Behaviour of ABC for Big Data ‘Many statistical applications involve models that it is difficult to evaluate the likelihood, but relatively easy to sample from, which is called intractable likelihood. Approximate Bayesian computation (ABC) is a useful Monte Carlo method for inference of the unknown parameter in the intractable likelihood problem under Bayesian […]

[O’R] BigDataFr recommends: The business value of unifying data #machinelearning #datascientist

BigDataFr recommends: The business value of unifying data Practical applications of human-in-the-loop machine learning. ‘With hundreds, thousands, or even just tens of suppliers — each with different business units, payment terms, and locations — businesses are faced with a monumental task: unifying all of their supplier-related data, and fast so that it can be useful. […]