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Posts published in “Software”

Composable shines versus Alteryx

Published April 17, 2018 by Lars Fiedler

Composable shines versus Alteryx

We’ve written previously about the numerous products that market themselves for Data Analytics and Business Intelligence. As we noted earlier, this can be confusing, but we are typically successful in…

XML data ingestion in Composable, and modeling a model

Published February 12, 2018 by Peter Insley

Programmers and data scientists at Composable do a variety of service work for our clients. My primary role at Composable is as a data scientist, and in a recent project…

Infinite Extensibility

Published February 23, 2017 by Lars Fiedler

Composable Analytics is an end-to-end data discovery, orchestration, analysis, and visualization platform. It offers integration with all sorts of data sources that you can mash together, has a vast array…

Versioning Modules – Migration of publicly released interfaces

Published December 17, 2016 by Lars Fiedler

Versioning Modules – Migration of publicly released interfaces

Today we’ll go over how Composable solves the problem with updating modules, while avoiding breaking-changes to callers. Versioning is a tough problem. When code takes a dependency on your interface, and you need to update…

Using Forms Authentication over Windows Authentication in the Composable SDK

Published November 10, 2016 by Lars Fiedler

Using Forms Authentication over Windows Authentication in the Composable SDK

I recently came across a scenario where I needed to do some maintenance on a client’s instance through our APIs. This particular Composable instance has Windows Authentication enabled, but also has…

Drowning in Text Files

Published October 31, 2016 by Lars Fiedler

Drowning in Text Files

Everyone has them laying around their computer somewhere: folders full of loosely formatted files. It could be text, xml or csv data that was created for that one time use…

Code Coverage – Combining IIS and Test Process numbers

Published October 30, 2016 by Lars Fiedler

Code Coverage – Combining IIS and Test Process numbers

Here at Composable, we’re big fans of Continuous Integration, and have suites of tests that run on every change we check in. One of the metrics that we’re always looking…

Can Edge Analytics Become a Game Changer?
Edge analytics is considered to be the future of sensor handling, and this article discusses its benefits and architecture of modern edge devices, gateways, and sensors. Deep Learning for edge analytics is also considered along with a review of experiments in human and chess figure detection using edge devices.
The Big Bad NLP Database: Access Nearly 300 Datasets
Check out this database of nearly 300 freely-accessible NLP datasets, curated from around the internet.
Hands on Hyperparameter Tuning with Keras Tuner
Or how hyperparameter tuning with Keras Tuner can boost your object classification network's accuracy by 10%.
Decision Tree Intuition: From Concept to Application
While the use of Decision Trees in machine learning has been around for awhile, the technique remains powerful and popular. This guide first provides an introductory understanding of the method and then shows you how to construct a decision tree, calculate important analysis parameters, and plot the resulting tree.
New Poll: When Will AutoML Replace Data Scientists (if ever)?
Take part in the latest KDnuggets poll by weighing in on when you think AutoML and Automated Data Science will replace humans — if ever.
Introducing fastpages: An easy to use blogging platform with extra features for Jupyter Notebooks
This article introduces the easy to use blogging platform fastpages. fastpages relies on Github pages for hosting, and Github Actions to automate the creation of your blog, and contains extra features for Jupyter Notebooks.
Top KDnuggets tweets, Feb 19-25: 9 lessons learned during my first year as a #DataScientist
Also The Next Decade in #AI: Four Steps Towards Robust #ArtificialIntelligence; Perl, yes, but will R be dead by 2030? #rstats Programming Languages You Won’t Use by 2030; Will AutoML eliminated Data Scientists? Let's do some tests to find out...Leaders, Changes, and Trends in Gartner 2020 #MagicQuadrant for #DataScience
Data Science Curriculum for self-study
Are you asking the question, "how do I become a Data Scientist?" This list recommends the best essential topics to gain an introductory understanding for getting started in the field. After learning these basics, keep in mind that doing real data science projects through internships or competitions is crucial to acquiring the core skills necessary […]
Image Recognition and Object Detection in Retail
“According to Gartner, by 2020, 85% of customer interactions in the retail industry will be managed by AI.”
Python and R Courses for Data Science
Since Python and R are a must for today's data scientists, continuous learning is paramount. Online courses are arguably the best and most flexible way to upskill throughout ones career.