I have seen what @KNECKenya have created for KCSE 2024 results & i couldn’t believe it. I have taken my 2 precious hours to build this using html, css, js, ajax & php. If you want it i can give it for free all you need is to export the students data & host it. We deserves better.
I had the incredible opportunity to speak at Google IO extended Kisumu on Deep Learning and Neural Networks using TensorFlow and Keras.
I've also penned down an in-depth article on Medium. Dive in, and I hope it adds value to your deep learning journey!
https://t.co/v9D1vzZqv8
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You'll learn basic engineering design patterns used to build large-scale distributed systems. 🏗️
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(1.5 hour watch): https://t.co/EbrQQGOC0U
Hey there! 👋🏽
WiDS Kenya Datathon is back! Do you think you’re ready? If you do, we are back this year with an extensive program and agenda for you in partnership with Microsoft, Moringa School and Kenya Airways.
Register here: https://t.co/m70P1EzWU5
At the optional data processing layer, the source data goes through preprocessing, validation, and
transformation using extract, transform, load (ETL) or extract, load, transform (ELT) pipelines. These raw
datasets are then refined by using ETL operations.
Aws Redshift Data Flow.
An Amazon Redshift data warehouse is an enterprise-class relational database query and management
system. Amazon Redshift supports client connections with many types of applications,including business
intelligence (BI), reporting, data and analytics tools.
At the data ingestion layer, different types of data sources continuously upload structured, semistructured, or unstructured data to the data storage layer. This data storage area serves as a staging area that stores data in different states of consumption readiness.
We recently clocked 750K+ orders fulfilled since launch, with steady growth, stronger fundamentals and happier merchants. Team @MarketForceHQ is pumped, let's hit 1 million 🚀