Proscovia

Tweeting and retweeting AI/ML stuff. Data scientist at @AirQoProject writes at

[Proscovia @pro_napro]

I can't stop celebrating 💃🏿💃🏿💃🏿.@DeepIndaba and @ruha9 thanks for the amazing poster prize (race after technology).I am truly humbled .
@BenjaminAkera @iBaino @AIR_lab_MUK @HildaAdur thank you for always motivating and inspiring me
#DLindaba19 #SautiYetu

[The Makerere AI and Data Science Research Lab @AIR_lab_MUK]

Join us yet again for our weekly AI seminar as we host Proscovia Nakiranda who will be presenting about, Building Identification in Aerial Imagery using Deep Learning.

Attendance is hybrid.
𝐙𝐨𝐨𝐦 𝐥𝐢𝐧𝐤: https://t.co/0YcwimgRrn
𝐏𝐚𝐬𝐬𝐜𝐨𝐝𝐞: 325182

#deeplearning

[Proscovia @pro_napro]

Gesture practice!

[Proscovia @pro_napro]

Create in Freeform

[Proscovia @pro_napro]

My illustrations are coming along nicely, and I'm having a lot of fun creating them.

[Proscovia @pro_napro]

@p_k_green Yes, I am. thanks!

[Proscovia @pro_napro]

#NeurIPS2022

[cam(ille chong)! 🐍 瑷薇 author or something @camiscribbles]

you can tell someone grew up reading because they know many words and they pronounce them all wrong

[Deep Learning Indaba @DeepIndaba]

Thanks to our sponsors we can fund 100 students to attend the Deep Learning Indaba!

However, there are still MANY more who will miss the opportunity due to lack of travel funds. Please support them and help strengthen African AI by donating at https://t.co/V7aBi3SHxi

[Proscovia @pro_napro]

Steps to follow when creating/deploying a machine learning project. Each step is vital and should be completed before moving on to next one.
#datascientist #machinelearning #softwaredeveloper #softwareengineer

[Proscovia @pro_napro]

Poor Quality data has noise, outliers and errors
Errors in data can lead to errors in the output of machine learning models.
When your data is bad your machine learning tools can be useless.
#machinelearning #datascience #AI #artificialintelligence

[Proscovia @pro_napro]

Feature Engineering
#ArtificialIntelligence #MachineLearning #datascience #data

[Proscovia @pro_napro]

Overfitting and underfitting are important concepts to understand because they affect the accuracy of your model. Controlling them gives a model that generalizes well.
#datascientist #machinelearning #machinelearningalgorithms #machinelearningengineer #artificialintelligence