Systems | Development | Analytics | API | Testing

Accelerate your Hyperparameter Optimization with PyTorch's Ecosystem Tools

The design and training of neural networks are still challenging and unpredictable procedures. The difficulty of tuning these models makes training and reproducing more of an art than a science, based on the researcher’s knowledge and experience. One of the reasons for this difficulty is that the training procedure of machine learning models includes multiple hyperparameters that affect how the training process fits the model to the data.

Validating Jet Engine Predictive Models Using Cloudera Machine Learning

In this video, we’ll go over how to use Cloudera Machine Learning (CML) to validate a complex predictive model. Using a publicly available NASA dataset that simulates how jet engines degrade over time, we’ll use machine learning concepts in a cloud environment to go from simulation data to a cost benefit analysis in just a few steps. We’ll also show how we can run experiments to track specific metrics from many different scenarios that our predictive model could possibly be implemented in.

George Fraser and Tristan Handy Discuss the Fivetran-Fishtown Partnership

In a Slack discussion, the two CEOs explain why the Fivetran-dbt integration is great for data analytics engineering enthusiasts. After the recent launch of Fivetran dbt Transformations, both the Fivetran and Fishtown Analytics teams received questions about the newly available feature. (Fishtown is the team behind dbt.) Fivetran CEO George Fraser and Fishtown Analytics CEO Tristan Handy addressed those questions on Slack, and discussed the harmonious relationship between the two companies.

Emery Sapp & Sons Builds Civil Infrastructure, Not Data Pipelines

Growing heavy civil construction business brings on a modern data stack of Fivetran, BigQuery and Looker to gain a competitive edge. Want to hear more from Emery Sapp & Son's Clayton Hicklin? Join him and a number of other incredible data professionals at the 2020 Modern Data Stack Conference October 21-22. Register here.

A Complete Guide to Choose Test Cases for Automation

Although automation testing is becoming more popular, there remain certain difficulties for automation teams, including selecting which test cases to automate. According to the World Quality Report in 2019, 24% of teams encounter obstacles prohibiting them from deciding on the right test scenario. This article will detail how to choose test cases for automation and maximize your testing journey.

[TUTORIAL] How To Create and Execute Test Suites In Katalon Studio

In this video, we'll cover how to create and execute 3 types of test suites in Katalon Studio: Basic Test Suite, Test Suite Collection, and Dynamic Test Suite. We'll also give you an introduction to the Script mode integration in testing test suites and our WebUI keywords in action. Codeless testing tool is the easiest way for new automation testers to start learning and experimenting with test automation.

Asynchronous Javascript: From Promises to Async/Await

Javascript is a funny language. It claims to be (and very much is) a single-threaded language (i.e., it executes statements in order, one at a time, one after another, in a synchronous fashion). Despite just having the one native thread to work with, it somehow allows you to write concurrent, asynchronous code that is non-blocking in nature.