Skip To Main Content
Skye Tran on Muck Rack

Skye Tran

As seen in: Towards Data Science
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile
Back to Skye Tran’s profile

Articles by Skye Tran

The Secret Life of Metadata

|
By Skye Tran
| Towards Data Science
Photo by Lucas Sankey on Unsplash If you ever tried to read articles about metadata on the Internet, you would most likely come across either the horror stories (something around the line of new metadata retention laws with creepy security loopholes that would screw us all) or the utopian fairytales (hey, metadata is the magical silver bullet for data democratisation and making your analytics dream come true).
Open in Who Shared Issue with article?

Time Series Analysis & Forecasting in Simple Words

|
By Skye Tran
| Towards Data Science
Photo by Aron Visuals on Unsplash Imagine a world where time series analysis doesn’t exist! Those painful booms and bust cycles of the economy might sound like random challenges that life throws at us. Governments would have a hard time trying to forecast the economic growth while companies struggle to predict future demand to plan for production. On a more personal level, you might leave the house only to drive straight into the path of a hurricane because the weather forecast doesn’t even exist.
Open in Who Shared Issue with article?

6 Useful Metrics to Evaluate Binary Classification Models

|
By Skye Tran, Marcel Moosbrugger, M Khorasani, Federico Mannucci
| Towards Data Science
Photo by Craig Adderley from Pexels Photo by Taylor Nicole on Unsplash This is Newt. Living in a mythical world, Newt aspires to become the best dragon trainer. But a dragon only accepts someone as his forever owner if his owner is the first creature it sees right after hatching. A bit like love at the first sight, coincidental yet so precious! That’s why Newt has been searching high and low for hatchable dragon eggs. Unfortunately, a hatchable egg is really difficult to come by. What’s more?
Open in Who Shared Issue with article?

How to Train a Model to Predict Next-Day Rain with Google BigQuery ML

|
By Skye Tran, Frank Andrade, Federico Mannucci, Khuyen Tran
| Towards Data Science
Photo by Anna Atkins on Unsplash Expect rain. Only two simple words, yet the stakes sometimes could be much higher than grabbing an umbrella before leaving the house tomorrow. Rain could ruin picnic plans or bring tremendous joy to farmers who are desperate to save their drought-stricken crops. Learning how to predict next-day rain is a simple and practical way to explore Machine Learning with Google BigQuery. So let’s find out how we can make it happen.
Open in Who Shared Issue with article?

Build ETL Data Pipelines Even When You Don’t Know How to Code

|
By Skye Tran
| Towards Data Science
When all you want is simple steps to get good data scattered everywhere into a single location for quick business insights, don’t let the complexities of coding and infrastructure hold you back. Image by Author Knowing how to integrate data from various sources and perform simple transformation to address data quality issues is the first step towards extracting insights from big data.
Open in Who Shared Issue with article?

Seeing The World Through Computers’ Eyes (And Why It Matters To You)

|
By Skye Tran
| Towards Data Science
Computer vision has the potential to improve the consumer experience, reduce costs and enhance security. Understanding the fundamentals of computer vision is the first step towards unlocking a crucial competitive edge. Are you ready? Image by Author Computer vision is one of the most extraordinary gifts coming out of the artificial intelligence world.
Open in Who Shared Issue with article?

Data Warehouse: Basic Concepts You Need to Know in 2021

|
By Skye Tran
| Towards Data Science
The Traditional Data Warehouse The data warehouse is all about creating a single version of truth for historical data from various sources and making it easily accessible, in a usable format and quick to query for business insights. In this way, business analysts and management can quickly undercover trends, patterns or anomalies about business performance and decide on what’s the best thing to do.
Open in Who Shared Issue with article?

8 Practical Guidelines for Designing Databases That Don’t Land You in Hot Water

|
By Skye Tran
| Towards Data Science
Getting Started Photo by Sebastian Herrmann on Unsplash Designing databases presents a conundrum: How are you supposed to design a database when you’ve never designed something similar? Like, how are you supposed to know what works and what doesn’t when all the tips and tricks you Google are slightly different or worst still, contradicting one another? Or how are you supposed to avoid costly mistakes that could impede the performance when you are building everything from scratch?
Open in Who Shared Issue with article?

8 Practical Guidelines for Designing Databases That Don’t Land You in Hot Water

|
By Skye Tran
| Towards Data Science
How to truly address business problems, satisfy users and avoid costly mistakes Photo by Sebastian Herrmann on Unsplash Designing databases presents a conundrum: How are you supposed to design a database when you’ve never designed something similar? Like, how are you supposed to know what works and what doesn’t when all the tips and tricks you Google are slightly different or worst still, contradicting one another?
Open in Who Shared Issue with article?
Show More