Deep learning is dumb.
Automation and Time Series is smart.
Let me explain. π§΅
#datascience #rstats #python
Automation and Time Series is smart.
Let me explain. π§΅
#datascience #rstats #python
Before you chastise me and say,
"Matt, you're off base. Deep learning is changing the universe. ChatGPT wrote me an R script just by asking it questions, blah blah blah."
"Matt, you're off base. Deep learning is changing the universe. ChatGPT wrote me an R script just by asking it questions, blah blah blah."
Yeah, AI is great.
But you know what's greater?
Getting promoted.
But you know what's greater?
Getting promoted.
So let me remind you that for 99.9% of business applications...
Deep learning is NOT going to help you.
Deep learning is NOT going to help you.
But do you know what will help you climb the ladder faster?
Time series + Automation.
... but 90% of data scientists are making these 2 mistakes:
Time series + Automation.
... but 90% of data scientists are making these 2 mistakes:
Mistake 1: Skipping time series
90% of data scientists overlook Time Series.
They go straight for deep learning, which has about zero use for business.
Cool but useless.
90% of data scientists overlook Time Series.
They go straight for deep learning, which has about zero use for business.
Cool but useless.
Mistake 2: Not learning automation
Further, automation is a key capability that organizations can **actually** use.
Yet, data scientists again skip the obvious... And never learn how to automate their data science projects.
Further, automation is a key capability that organizations can **actually** use.
Yet, data scientists again skip the obvious... And never learn how to automate their data science projects.
What if we could fix these 2 problems in 1 FREE training?
I'd like to help.
(And WHAT I'm about to show you is easier than you think)
I'd like to help.
(And WHAT I'm about to show you is easier than you think)
I have a new LIVE workshop where I'm going to share:
1. How to make a dead-simple time series analysis
(just a quick Auto ARIMA with my Modeltime R package)
(just a quick Auto ARIMA with my Modeltime R package)
2. How to automate the time series analysis using production tooling
(schedule an automation on a 1-minute interval to download the data, make the forecast, and save as a CSV)
(schedule an automation on a 1-minute interval to download the data, make the forecast, and save as a CSV)
3. How to have some fun with Bitcoin forecasting
(we'll connect to a Crypto API and forecast Bitcoin prices at 5-minute intervals)
(we'll connect to a Crypto API and forecast Bitcoin prices at 5-minute intervals)
4. And you'll see exactly how to add time series + automation project to your interview portfolio.
(And get companies to compete for you)
(And get companies to compete for you)
Did I mention I'm doing this for FREE?
What's the next step?
Stop being Joey...
And register and attend my free training on March 8th at 2PM EST:
"Automating Time Series Forecasting with Modeltime + Prefect"
πRegister Here: us02web.zoom.us
Stop being Joey...
And register and attend my free training on March 8th at 2PM EST:
"Automating Time Series Forecasting with Modeltime + Prefect"
πRegister Here: us02web.zoom.us
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