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Top 10 Skills for Data Engineers in 2021
Data engineering is an increasingly sought after job role, and despite a tumultuous 2020, the chart above showed it’s more in demand than ever.  Due to the pandemic, jobs were scarce in April but quickly rebounded before the traditional summer lull hit. Demand increased significantly in... Read more
How Good are the Visualization Capabilities of Microsoft Power BI?
The number of visuals in Power BI is vast, and the aim of this article is to provide an overview of the Microsoft Power BI data visualization potential to create most of the visuals. This article is an excerpt from the book Microsoft Power BI Quick Start Guide, Second Edition by Devin Knight, Mitchell Pearson, Bradley Schacht, and Erin Ostrowsky – A book that provides an... Read more
The State of Enterprise NLP in 2020
The state of entrerpise NLP in 2020. This has been a unique year for public health, professional life, the economy, and just about every other aspect of daily life. While some doors are closing, and others are pivoting their business models, businesses that haven’t taken a... Read more
Getting Started with Dask and SQL
Lots of people talk about “democratizing” data science and machine learning. What could be more democratic — in the sense of widely accessible — than SQL, PyData, and scaling data science to larger datasets and models? Dask is rapidly becoming a go-to technology for scalable computing.... Read more
Dask in the Cloud
When doing data science and/or machine learning, it is becoming increasingly common to need to scale up your analyses to larger datasets. When working in Python and the PyData ecosystem, Dask is a popular tool for doing so. There are many reasons for this, one being... Read more
Data Engineer Jobs on the Rise – Skills Needed and Who’s Hiring
If you review the schedule or contents of any data science learning platform, such as with the Ai+ Training Platform,  you’ll notice that data engineering is a primary focus. That’s no surprise, as data engineer is currently one of the fastest-growing roles. Job site, DICE’s, recent... Read more
ML Inference on Edge Devices with ONNX Runtime Using Azure DevOps
This article discusses ML inference on edge. AI applications are designed to perform tasks that emulate human intelligence to make predictions that help us make better decisions for the scenario. This drives operational efficiency when the machine executes the task without worrying about fatigue or safety.... Read more
Introduction to PyCaret
In this article, I’d like to introduce a new machine learning library for Python called PyCaret. PyCaret is touted as a low-code resource for data scientists that aims to reduce the “hypothesis to insights cycle time” in a machine learning experiment. It enables data scientists to perform... Read more
Continuous Delivery for Machine Learning
Why is bringing machine learning code into production hard? Machine Learning applications are becoming popular in all industries. However, the process for developing, deploying, and continuously improving them is more complex compared to more traditional software, such as a web service or a mobile application. These... Read more
A Look Inside the AI Runtime from Microsoft
Today, I want to wear my software archeology hat and share with you one story about the AI efforts at Microsoft and how Microsoft built its open-source high-performance AI runtime that is saving the company time and money. A couple of years ago, I decided to... Read more