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August 29, 2023
2m 34s

Tips and Tricks - Turbo Training Setting for Fast Synthetic Data Generation

Trascript

πŸš€ Turbo Setting for Fast Synthetic Data Generation | Tips and Tricks

πŸ“Ί Welcome to another insightful Tips and Tricks video! We will dive into the Turbo training setting on MOSTLY AI's synthetic data platform, a powerful tool for quickly generating realistic looking synthetic data.

⚑ Fast Track Your Data Generation
The Turbo setting is your go-to choice when time is of the essence. Perfect for initial stages of data synthesis, where speed outweighs precision. Let's explore how to implement Turbo in linked table setups, such as the one we're examining today with baseball players and seasons.

πŸ•’ Timestamps:

00:00 Introduction to Turbo Setting
00:15 Quick Progress with Turbo
01:00 Implementing Turbo in Linked Table Setup
02:10 Applying Turbo to Baseball Players and Seasons
03:30 Turbo's Impact on Data Generation Speed
04:50 Balancing Speed and Quality
05:30 Reviewing Synthetic Data Results
06:45 Examining Data Accuracy in QA Report
08:00 Utilizing the QA Report for Data Insights

πŸ”— Helpful Resources:

Register for free for MOSTLY AI's synthetic data platform ➑️ https://bit.ly/43IGYSv
The Baseball Dataset ➑️ https://mostly.ai/docs/datasets
Learn More About Synthetic Data ➑️ https://bit.ly/3OPnh6e

πŸ“ˆ Advantages of the Turbo setting:
πŸ”Ή Dramatically accelerate synthetic data generation.
πŸ”Ή Perfect for quick explorations and early insights.
πŸ”Ή Balances speed and accuracy to meet your needs.
πŸ”Ή Reduces job runtime significantly.

πŸ” Unlocking Insights Using the QA Report:
The QA report isn't just about accuracy; it's your key to unlocking valuable insights about your data. Discover univariate and bivariate distributions that reveal correlations, patterns, and characteristics of your data.

πŸ‘ Did This Video Turbo-Charge Your Knowledge?
Hit the thumbs-up button and share your thoughts in the comments below. Don't forget to subscribe for more tips, tricks, and insights from MOSTLY AI.

#SyntheticData #TurboSetting #DataGeneration #DataScience #TipsAndTricks #RapidDataInsights #QAReport #MOSTLYAI #DataQuality #DataInsights

Transcript

[00:00:01] Hello. In today's Tips and Tricks video, I want to take a look at the Turbo training setting.

[00:00:07] This is very useful if you want to make quick progress in your data synthesization, and at least initially, you don't care so much about the quality of the synthetic data that's generated.

[00:00:21] We have introduced this new setting, Turbo in a linked table setup, such as the one that I'm looking at right now with my baseball players and my seasons. I have to apply it separately to both, so for players first and then for the seasons.

[00:00:37] That will speed up the generation of the synthetic data. To show you, I have here run a job as preparation for this recording, and you can already see the synthetic data.

[00:00:50] To be honest, it looks very good to the human eye. You can absolutely use this already as synthetic data, but of course, some of the correlations are not going to be that good. We can see the accuracy in the QA report in a bit.

[00:01:08] As I said, we're doing this because we want to make fast progress. This job only ran for about four minutes. While it's a normal job with full accuracy, it takes about 30 minutes or so.

[00:01:22] Now, one little cool thing that I like about our QA report also is that it actually teaches you some interesting facts about the original data. In case you didn't have the time to rigorously do data exploration before in other tools, you can totally use the QA report to understand more stuff about your original data.

[00:01:43] Under univariate distributions, for example, here we can see the birth dates distributed over time or the height curve, the weight curve, et cetera.

[00:01:56] Under bivariate distributions, you can see correlations between data points in the dataset.

[00:02:03] One interesting one here is batting and throwing with your right hand or your left hand.

[00:02:09] The darker shape means those are a higher proportion of the dataset. You can see there that a lot of people bat with their right hand and throw with their right hand, but then there's also some people that bat with both and throw with the right hand.

[00:02:27] That's it for today. Remember to use the Turbo setting to get to results quickly.

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