Query Active Directory for IT Ops – dataflow analytics blog

We now support querying Active Directory within your enterprise. Some of the reports you can create include:

Determine who’s still using Windows XP on your network
Create org charts and enrich with public data
Know which departments are commonly targeted for phishing / spam

About
Latest Posts

Lars Fiedler

Lars has comprehensive expertise building large complex software systems, and has served as a Software Engineer at MIT’s Lincoln Laboratory from 2010-2014, where he began developing Composable Analytics. Prior to joining Lincoln Laboratory, Lars worked as a Software Engineer at Microsoft Corporation from 2006 to 2010. Lars received his MS in Computer Science from Georgia Institute of Technology in 2004, and his BS in Computer Science from Georgia Tech in 2003.

Latest posts by Lars Fiedler (see all)

Code Reuse and Modularity in Composable - January 2, 2019
DataOps: Straightforward Data Migration - December 31, 2018
WIX: Scheduling a custom database upgrade to happen After=”InstallSqlData” and Before=”StartServices” - October 24, 2018

KDnuggets

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.