Displaying 1 to 6 from 6 results

MentDB - Mentalese Database Engine

  •    C

The platform provides tools for AI, SOA, ETL, ESB, database, web application, data quality, predictive analytics, chatbot ..., in a revolutionary data language (MQL). The server is based on a new generation of AI algorithm, and on an innovative SOA layer to reach the WWD.

Multivariate Normal Splines

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Implementation of Multivariate Normal Splines technique for multidimensional data approximation

spring-cloud-dataflow - Spring Cloud Data Flow is a toolkit for building data integration and real-time data processing pipelines

  •    Java

Spring Cloud Data Flow is a toolkit for building data integration and real-time data processing pipelines.Pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks.

Agile_Data_Code_2 - Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

  •    Jupyter

Like my work? I am Principal Consultant at Data Syndrome, a consultancy offering assistance and training with building full-stack analytics products, applications and systems. Find us on the web at datasyndrome.com. There is now a video course using code from chapter 8, Realtime Predictive Analytics with Kafka, PySpark, Spark MLlib and Spark Streaming. Check it out now at datasyndrome.com/video.




Wharton_Stat_422_722 - The official class webpage for Statistics 422/722 taught at Wharton in the Spring of 2017

  •    TeX

This is the course homepage for STAT 422/722 for the Spring semester 2017 at The Wharton School of the University of Pennsylvania taught by Professor Adam Kapelner. The syllabus can be found here. Audio for lectures should be on canvas except for the first lecture (links below).

h2o.js - Node.js bindings to H2O, the open-source prediction engine for big data science.

  •    CoffeeScript

This Node.js / io.js module provides access to the H2O JVM (and extensions thereof), its objects, its machine-learning algorithms, and modeling support (basic munging and feature generation) capabilities. It is designed to bring H2O to a wider audience of data and machine learning devotees that work exclusively with Javascript, for building machine learning applications or doing data munging in a fast, scalable environment without any extra mental anguish about threads and parallelism.