Tag: testing

Feed: Planet big data. Author: Michele Goetz. Data ops, data engineering, data development — oh my! From new roles and teams to new skills and processes, the hot topic on everyone’s mind is data ops. I started to notice the data ops emergence back in 2015 as companies began to look at Agile development to spin up new data capabilities rapidly. Later, as data preparation entered the market, ETL developers were gravitating to these tools for quick data loading with transparency into newly formed analytics lakes. Step into today and running advanced analytics (or the sexier term today: machine learning) in ... Read More

Feed: Planet big data. Author: James L. McQuivey. Unless you were on the Appalachian Trail for a few weeks, you know what I’m talking about. I’ll start with this paragraph from our newly published analysis of Nike’s “Just Do It” campaign featuring Colin Kaepernick, called Nike Makes No Sacrifices: Judging the Nike decision is difficult because there’s so much conflicting evidence. In concept, values-based appeals can payoff big – 52% of US online adults say they actively consider company values when making a purchase. In practice it’s not always obvious: Nike brand-related social media chatter grew by 8x within a day after the ... Read More

Feed: All - O'Reilly Media. Author: Bret Fisher. Flow (source: Pixabay) Bret Fisher is a Docker Captain, DevOps consultant, and is leading a 2-day Docker and Swarm workshop at Velocity in New York and Velocity in London. A developer today is bombarded with a plethora of tools that cover every possible problem you might have—but, selecting which tools to use is The New Problem. Even in container-land, we're swimming in an ocean of tool choices, most of which didn't exist a few years ago. I'm here to help. I make a living out of helping companies adopt a faster and ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Olexander Kolisnykov. For most businesses, machine learning seems close to rocket science, appearing expensive and talent demanding. And, if you’re aiming at building another Netflix recommendation system, it really is. But the trend of making everything-as-a-service has affected this sophisticated sphere, too. You can jump-start an ML initiative without much investment, which would be the right move if you are new to data science and just want to grab the low hanging fruit. One of ML's most inspiring stories is the one about a Japanese farmer who decided to sort cucumbers automatically ... Read More

Feed: R-bloggers. Author: Fabian Müller. In a recent blog post our CEO Sebastian Heinz wrote about Google's newest stroke of genius – AutoML Vision. A cloud service "that is able to build deep learning models for image recognition completely fully automated and from scratch". AutoML Vision is part of the current trend towards the automation of machine learning tasks. This trend started with automation of hyperparameter optimization for single models (Including services like SigOpt, Hyperopt, SMAC), went along with automated feature engineering and selection (see my colleague Lukas' blog post about our bounceR package) towards full automation of complete data ... Read More

Feed: AWS Partner Network (APN) Blog. Author: Mattijis Ten Seldam. By Ben Bridts, APN Ambassador at CloudarBy leveraging services like Amazon Simple Storage Service (Amazon S3) to host content, our team at Cloudar has a cost effective way to build websites that are highly available. Cloudar is an AWS Partner Network (APN) Advanced Consulting Partner with AWS Competencies in both DevOps and Government. If we store content in a single Amazon S3 bucket, all of our content is stored in a single Amazon Web Services (AWS) region. To meet regulatory compliance, we can replicate objects for regionally distributed computing, minimize ... Read More

Feed: AWS Compute Blog. Author: Chris Munns. This post is courtesy of Mark Easton, Senior Solutions Architect – AWSOne of the biggest benefits of Lambda functions is that they isolate you from the underlying infrastructure. While that makes it easy to deploy and manage your code, it’s critical to have a clearly defined approach for testing, debugging, and diagnosing problems. There’s a variety of best practices and AWS services to help you out. When developing Lambda functions in .NET, you can follow a four-pronged approach: This post demonstrates the approach by creating a simple Lambda function that can be called ... Read More

Feed: Microsoft Azure Blog. Author: Kate Baroni. Artificial Intelligence (AI) and machine learning (ML) technologies extend the capabilities of software applications that are now found throughout our daily life: digital assistants, facial recognition, photo captioning, banking services, and product recommendations. The difficult part about integrating AI or ML into an application is not the technology, or the math, or the science or the algorithms. The challenge is getting the model deployed into a production environment and keeping it operational and supportable. Software development teams know how to deliver business applications and cloud services. AI/ML teams know how to develop models ... Read More

Feed: Cambridge Intelligence. Author: Toby Drane. Every year we welcome a group of students and recent graduates to our three-month summer internship at Cambridge Intelligence. Below, second-year university student, Toby Drane shares his experience.I’m not a fan of taking photos but I made an exception for this blog.About meI’m studying towards a Computer Science degree at Keele University. Although I’m only about to start my second year, I have ambitions of starting my own software company one day, and want to gain as much work experience as possible by the time I graduate. I like big data and coming up ... Read More

Feed: R-bloggers. Author: Ryan Sheehy. Here is the course link. Course Description In this course, you will learn the foundations of A/B testing, including hypothesis testing, experimental design, and confounding variables. You will also be exposed to a couple more advanced topics, sequential analysis and multivariate testing. The first dataset will be a generated example of a cat adoption website. You will investigate if changing the homepage image affects conversion rates (the percentage of people who click a specific button). For the remainder of the course you will use another generated dataset of a hypothetical data visualization website. Chapter 1: ... Read More