Posts published in “Automation”

Progress Metrics for DataFlows

Published January 2, 2019 by Mark Sherer

Composable has recently added progress-tracking features, including progress metrics and animations. Both of these aim to elucidated DataFlow execution by showing the modules that are currently executing and highlighting potential…

Code Reuse and Modularity in Composable

Published January 2, 2019 by Lars Fiedler

Composable provides special mechanisms for managing complexity of dataflows. Specifically, Composable allows you to reuse parts of your dataflow by encapsulating them as stand-alone custom modules. When developing your dataflow…

Integrating and Syncing Salesforce with Sql Server

Published November 16, 2017 by Lars Fiedler

Integrating and Syncing Salesforce with Sql Server

When it comes to CRMs these days, Salesforce has maintained its industry leadership for quite some time. But its analytics and reporting capabilities surrounding the data it controls has always…

Introducing Batch Image Processing with Composable

Published November 6, 2017 by Ryan O'Shea

When you’re working with large numbers of images, using standard tools like ImageMagick can often feel like an endless cycle of combing through [crayon-5ce18ff691b90880756383-i/] pages and StackOverflow posts to find the magical…

Migrating a FoxPro Database to 64 bit SQL Server

Published September 25, 2017 by Lars Fiedler

Migrating a FoxPro Database to 64 bit SQL Server

We recently had a client who needed to query data from a legacy system built on FoxPro. What is FoxPro you ask? Fox Software was a company Microsoft purchased back…

Exporting WebEx Contacts

Published March 16, 2017 by Lars Fiedler

Exporting WebEx Contacts

Have you ever wanted to export all your contacts out of Web-ex? I recently needed this feature, as our marketing team wanted to do some follow ups with potential users…

Monash University: Research Fellow – Optimisation [Melbourne, Australia]
Seeking an enthusiastic researcher with solid skills in any of the following areas: constraint programming, mixed integer programming, SAT and SAT modulo theories, modelling languages and program analysis, to join an established team working on new approaches to modelling and solving discrete optimisation problems.
Think Like an Amateur, Do As an Expert: Lessons from a Career in Computer Vision
Dr. Takeo Kanade shared his life lessons from an illustrious 50-year career in Computer Vision at last year's Embedded Vision Summit. You have a chance to attend the 2019 Embedded Vision Summit, from May 20-23, in the Santa Clara Convention Center, Santa Clara CA.
60+ useful graph visualization libraries
We outline 60+ graph visualization libraries that allow users to build applications to display and interact with network representations of data.
PyCharm for Data Scientists
This article is a discussion of some of PyCharm's features, and a comparison with Spyder, an another popular IDE for Python. Read on to find the benefits and drawbacks of PyCharm, and an outline of when to prefer it to Spyder and vice versa.
7 Steps to Mastering SQL for Data Science — 2019 Edition
Follow these updated 7 steps to go from SQL data science newbie to practitioner in a hurry. We consider only the necessary concepts and skills, and provide quality resources for each.
A complete guide to K-means clustering algorithm
Clustering - including K-means clustering - is an unsupervised learning technique used for data classification. We provide several examples to help further explain how it works.
Why Data Professionals Should Negotiate Every Job Offer
Here are six reasons why you shouldn't feel tempted to jump at the chance and take that job offer as it is without first negotiating.
Large-Scale Evolution of Image Classifiers
Deep neural networks excel in many difficult tasks, given large amounts of training data and enough processing power. The neural network architecture is an important factor in achieving a highly accurate model... Techniques to automatically discover these neural network architectures are, therefore, very much desirable.
Top KDnuggets tweets, May 08-14: The end of average Data Scientist is near: @GoogleAI fully automated, End-to-End #AutoML #MachineLearning
Also: My favorite free courses to learn data structures and #algorithms in depth; “Please, explain.” Interpretability of machine learning models; Decoding ‘A Game of Thrones’ #GOT with data science; Another 10 Free Must-See Courses for Machine Learning and Data Science; Best Data Visualization Techniques for small and large data
Building Recommender systems with Azure Machine Learning service
Microsoft has provided a GitHub repository with Python best practice examples to facilitate the building and evaluation of recommendation systems using Azure Machine Learning services.