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-5d2d8992c12d7060088451-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…

First hand experience from Uber, Microsoft, Delivery Hero & more – at PAW London
Top practitioners are coming to PAW London, 16-17 Oct 2019, to describe the design, deployment and business impact of their machine learning projects. Register using code KDNUGGETS for a 15% discount on your Predictive Analytics World ticket.
McKinsey: Data Engineer [Wroclaw, Poland]
McKinsey is seeking a Data Engineer in Wroclaw, Poland, to enable effective, highly scalable data analysis pipelines and play a critical role in database design, development, data integration and ingestion, as well as designing ETL architectures using a variety of ETL tools and techniques.
McKinsey: Data Scientist [Wroclaw, Poland]
McKinsey is seeking a Data Scientist in Wroclaw, Poland, to work with McKinsey clients and consulting teams to carry out complex data analysis and modeling, creating a foundation for sound recommendations for client studies and internal projects.
Scaling a Massive State-of-the-art Deep Learning Model in Production
A new NLP text writing app based on OpenAI's GPT-2 aims to write with you -- whenever you ask. Find out how the developers setup and deployed their model into production from an engineer working on the team.
Secrets to a Successful Data Science Interview
Are you puzzled as to what to prepare for data science interviews? That you are reading this document is a reflection of your seriousness in being a successful data scientist.
The Hackathon Guide for Aspiring Data Scientists
This article is an overview of how to prepare for a hackathon as an aspiring data scientist, highlighting the 4 reasons why you should take part in one, along with a series of tips for participation.
Top Stories, Jul 8-14: The Death of Big Data and the Emergence of the Multi-Cloud Era; Training a Neural Network to Write Like Lovecraft
Also: What's wrong with the approach to Data Science?; Introducing Gen: MITs New Language That Wants to be the TensorFlow of Programmable Inference; Top 10 Data Science Leaders You Should Follow; 5 Probability Distributions Every Data Scientist Should Know; XGBoost and Random Forest with Bayesian Optimisation
Introducing Gen: MIT’s New Language That Wants to be the TensorFlow of Programmable Inference
Researchers from MIT recently unveiled a new probabilistic programming language named Gen, a language which allow researchers to write models and algorithms from multiple fields where AI techniques are applied without having to deal with equations or manually write high-performance code.
Pre-training, Transformers, and Bi-directionality
Bidirectional Encoder Representations from Transformers BERT (Devlin et al., 2018) is a language representation model that combines the power of pre-training with the bi-directionality of the Transformer’s encoder (Vaswani et al., 2017). BERT improves the state-of-the-art performance on a wide array of downstream NLP tasks with minimal additional task-specific training.
Top June Stories: 5 Useful Statistics Data Scientists Need to Know; 7 Steps to Mastering Intermediate Machine Learning with Python – 2019 Edition
Also: Data Science Jobs Report 2019: Python Way Up, TensorFlow Growing Rapidly, R Use Double SAS; If you're a developer transitioning into data science, here are your best resources.