O B A L O L U W A

Learn the Art, Commerce, Engineering, and Science of Data. Find that data, turn it into information, draw knowledge, and use it for the benefit of humanity.

[O B A L O L U W A @DataClergy]

@IrishRail Any update on this? Any chances the 8.18 or 10.47 train options from Castlerea will be on time?

[O B A L O L U W A @DataClergy]

The initial email is effectively the attacker’s classifier: it determines who responds, and thus who the scammer attacks (i.e., enters into email conversation with)."

[O B A L O L U W A @DataClergy]

Interesting paper but the topic should have been "Why do Scammers Say They are from Nigeria?".

Hits differently - "If only 0.00001% of the population is viable then mistakenly attacking even a small portion of the 99.999% of the population that is non-viable destroys profit.

[Sean J. Taylor @seanjtaylor]

@chrisalbon It’s a binary classification problem https://t.co/2JPuemhf5b

[Andrew Ng @AndrewYNg]

New short course on Serverless LLM apps with Amazon Bedrock, taught by @AWS' @mikegchambers! A serverless architecture enables you to quickly deploy your applications without needing to set up and manage compute servers to run your applications on, the maintenance of which can be another full-time job. In this course, you’ll learn how to do this by using an event-driven architecture to build complex AI workflows.

Mike illustrate these concepts by building a cool application that automatically detects incoming customer inquiries, transcribes them with ASR (automatic speech recognition), summarizes them with an LLM using Bedrock, and deploys serverless with AWS Lambda.

I hope this course makes it much easier for you to build and deploy LLM applications requiring multi-step AI workflows. Please sign up here: https://t.co/37hE71j3pT

[O B A L O L U W A @DataClergy]

Hey! I would like to share this NFT creator with you! Check it out on @TheBinanceNFT https://t.co/hU2xhjsLxs

[Matt Rickard @mattrickard]

Service reliability math that every engineer should know

Uptime Downtime (Yearly)
99.00000% 3d 15h 39m
99.90000% 8h 45m 56s
99.99000% 52m 35s
99.99900% 5m 15s
99.99990% 31s
99.99999% 3s

[O B A L O L U W A @DataClergy]

Apt!

[Hadley Wickham @hadleywickham]

If you use dbplyr, now is a great time to try out the development version because I've been making a bunch of improvements: https://t.co/h4sfqoOHlT

[O B A L O L U W A @DataClergy]

Just a quick reminder.

😀 Correlation is not necessarily causality. The former is mainly statistical while the latter largely relies on context and domain knowledge.

Have a great week!

#openforbusiness #ai #artificialintelligence #deeplearning #machinelearning #datascience

[O B A L O L U W A @DataClergy]

Yea, I remember this argument😂😁.

Keep pushing guys and congrats.👏

[Josh Patterson @datametrician]

Can't do all data science on the GPU they said...
you need CPU for string processing they said...
well...
Another step towards end to end #GPU acceleration with @RAPIDSai. Memory copies hurt perf... so do #NLP and text processing on the GPU! 🔥🔥🔥 I ❤️ this ecosystem!

[PyData @PyData]

The #Astropy Project is a community effort to develop a single core #Python package for common astronomical computing tasks and to provide a framework for interoperability between Python #astronomy packages.
https://t.co/hmvlu50Fsa

#NumFOCUS Sponsored Project since 2014
@astropy

[O B A L O L U W A @DataClergy]

Welcome to August!

We will be having two major hangouts this month with weekly tips for data professionals.

Keep learning and sharing. Happy new month!

[O B A L O L U W A @DataClergy]

@rikturr 😂 watchu up to!

[Wes McKinney @wesmckinn]

Slides from my #ACMTechTalk "@ApacheArrow and the Future of Data Frames"

https://t.co/EmRRTlPi5D

Will reply later with link to demo notebooks

[O B A L O L U W A @DataClergy]

#DataClergy #Data #DataScience #DataEngineering #DataAnalytics #DataEthics #Statistics

[O B A L O L U W A @DataClergy]

🤣😂🤣

Yes, we need to. The concept of having a data dictionary or metadata repository cannot be overemphasized in data management.

Every piece of data should be clearly defined to avoid telling misleading stories or projecting wrong insights.

#Thread

[O B A L O L U W A @DataClergy]

For surveys and routine performance data management, defining every piece of data and their relevance before setting out to gather data is key to drawing useful insights and managing expectations.

Always remember that data definition is critical to any analysis.

#DataClergy

[O B A L O L U W A @DataClergy]

Happy new month, fellow learners.

I hope you've not been disappointed so far.

Let's keep learning; knowledge is a journey.

#DataClergy #DataScience #DataEngineering #Data #HappyNewMonth

[O B A L O L U W A @DataClergy]

If there are terms or concepts you need clarity on, drop a comment below and I will make sure I cover them in the current data buzzword definition series.

Kindly engage and share widely.
#DataScience #DataBuzzwords #Data #DataClergy #DataAnalytics #Statistics #Sample #Population

[O B A L O L U W A @DataClergy]

Data Buzzwords - Pt 2 https://t.co/4CTwlmXBtg via @YouTube

Hi there, how's your weekend?

Thanks for hitting the follow button.

In this new post, I've defined and differentiated some usually confused statistical terms.