@anievince
@UjuAnya
@daviddosuu
I don't think he does though. Some people usually have a hard time understanding systemic bias.
They only understand individualized experience. If he can be less pompous about his stand, this would be an opportunity for him to learn.
@WaleRexx
@stephenaaay
@__Alpha_one__
That's just false bro
When talking about some topics, it's impossible to be logical without using emotion. When speaking on inequality, gender, crime and so on, throwing emotion out of the window is not logical.
@WalleLawal
There's a belief that code mixing is result of lack of control over a particular language but I think when it comes to Yoruba middle aged men, it's a way to remind you that they can be sesquipedalian if they wanted to.
@nick08962149
@joyalana_
@FUCCl
Tyla is very humble just not in the way y'all are used to
In Nigeria, for instance, it's ok to ask someone to lend you a hand. We don't have the "I am not your slave" mentality...
What is Causal Inference?
Causal Inference is a new science of causation. This field is nothing less than a revolution in how scientists understand data. Read on to learn more.
This is the first post in a series based on the Book of Why by Judea Pearl. I will be reading the
@dmimno
Most of the tools I ended up using in econometrics and DS were just maths from high school.
The problem here is that they were useless when we learned it
@jessica_xls
I have been focusing on projects for the better part of the last few months and I have also paired this which actively searching for job.
Do you have any advice on landing a data role?
Here is a link to my portfolio for reference:
@timokonkwo_
Data science: Deep learning with pytorch
I have been using fastai for too long and I want to learn how to create models from scratch pytorch
@kareem_carr
You can think of it this way
m/n is sharing m equally among n number of people, things, energy e.t.c. There is no way to share m equally between 0 . So it doesn't exist.
@lherealchieff
@TeannaTrump
I'll always be grateful for the day you donated your kidney to my brother.
And still paid his hospital bills
You're a real one bro🙏🏾
@samlogic_
When did tech become mainstream in Nigeria?
When did Nollywood become mainstream?
When did afrobeats become mainstream in Nigeria?
How many businesses have been created in Nigeria with products used all over the world?
These are very important arguments
Learn how to calculate the error contribution of the features in your classifier —
@SamueleMazzanti
's new tutorial explains the process and why it's so important for the performance of machine learning models.
@Rita_tyna
This is a very amazing space. Very relatable.
I started my data journey since last year and have only been sharing my works on Kaggle.
It's only recently I decided to share my projects recently. I started sharing my past projects and I have been receiving amazing feedbacks.
Drinking Garri can cause blindness
Drinking Garri can cause blindness
Drinking Garri can cause blindness
Drinking Garri can cause blindness
Drinking Garri can cause blindness
Drinking Garri can cause blindness
Drinking Garri can cause blindness
Don’t Read 👇🏼Without Sharing
@predict_addict
You have a good taste in books.
This books start from probability and statistics to advanced econometrics, causal inference and even regularization models (depending on the version though)
That's where I first read that ARDL can be used to determine dynamic causality
@Opiano_1
Everyone advised newbies to : "Build public", "share what you know" and "use social media to your advantage".
When they eventually do, they are shamed for it
@starboy_abefe
DON'T CRAM CODES
You don't need all the courses
Read the documentations
Don't forget the basics
There's no perfect path
There's love in sharing
If someone had told me I'd be a computer science and maths teacher (full time) and part-time data scientist (remote) at the beginning of the year, I wouldn't have believed 😭😭😭
@BatSource1
This is a very beautiful piece of writing but I believe that Reeves approach is a very stale way of addressing the batman myth.
I don't think we're getting any batman live action from any author that isn't ashamed of the character anytime soon
Everyone that changed their whole personality because of LLM are slowly going back to traditional ml models. What happened?
LLM cannot solve all your problems bro
Know this and know peace
@jerryjok
@YemzyAliMaw
@IamEkene_
I wonder how this makes sense to you
Does that mean that many people that grows up to lead an hetero lives grew up in an environment that didn't give them the choice too?
I'm not opposing you or anything...just trying to understand your argument
@DavidAbu_
Even if they told me that I'd still be cautious..
God knows the amount of mental gymnastics job seekers have played with recruiters in Nigeria
@iam_Uchenna
Some people stop their EDA at visualizing the data which is wrong.
Although it is makes it less complex to non data savvy audience,it can be misleading because the human eyes have learned to see patterns that do not exist
Thanks for sharing
@WaleRexx
@stephenaaay
@__Alpha_one__
Very true. But in this context,the tweet that quoted and the one that it quoted were not based on facts or data in the first place just strictly rationality and allegorical thinking.
@Deez52351165
@yxngweaveB
@nab1803
That's what was done in the new 52.
There was a series that started at the end of each issue that just explored Shazam origin story.
The story was what was pretty much adapted in the first live action movie
Is any one on
#EconTwitter
hiring for PhD position?
I am a first class economics graduate who have research experience. I also have industry experience in data science and ml.
I am interested in causal inference and causal machine learning for policy optimization.
@ThePhDPlace
@predict_addict
Calibrated version of any model is better than any imbalanced ml technique.
@QuantEcon
has a good guided project where they used calibration and balance rightly.