The fact that this lady is a cancer research technician at Texas Children's Hospital and also holds a bachelor's degree in molecular biology from Yale University is an evidence that with the right structure, the right system, and the right people managing institutions in Nigeria, many young girls can also go to school, prosper and still excel in other activities outside academics!
Boys and girls don't need to drop out of school before they succeed in sport and it is not necessary to leave sport (talent) to focus on academics!
Congratulations once again @alozieee
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As a man, what they won't tell you before you start working out:
* Pain in your left arm will start and it won't stop.
* You're working out to stay attractive. You'll start attracting the gender you aren't expecting.
* You'll plan your entire day, week, weekend around your gym availability.
* The muscles you intended to focus on when you started the gym, will eventually be the least of your focus.
* The first day you superset your biceps, just buy straw - you won't be able to lift your cup at home.
* The first day you superset your abs, just avoid laughing.
* As you stay consistent, others will start noticing the changes but you'll be feeling smaller.
* The day you feel like not going the most, is the day you'll spend the most hours.
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1/ I believe one of the first steps in understanding machine learning is grasping the concept of confusion matrix. Sensitivity & specificity.
Sensitivity says: how sensitive is your model to what you are looking for. How easily can it detect what you want.
2/ Specificity says: how specific is your model in finding what it is looking for. How easily can it ignore what you do not want.
These two measures are measures of model accuracy.
Sensitivity = True positives/ (True positives + False negative)
4/ When a doctor tells a man, “you are pregnant”, that is a False positive error. Because he predicted positive -being pregnant- Falsely(it is directed to a man).
Similarly, when a doctor tells a pregnant woman, “You are not pregnant”, that's a False negative error
1/ I believe one of the first steps in understanding machine learning is grasping the concept of confusion matrix. Sensitivity & specificity.
Sensitivity says: how sensitive is your model to what you are looking for. How easily can it detect what you want.
A question every new Data Analyst faces:
Should I learn PowerBI or Tableau?
Your choice will form the backbone of your analytics career.
To help you decide, I've broken it down: 🧵
Startups are businesses that are vulnerable to survival, so startup founders may struggle in their quest for ambidexterity as startups generally suffer from limited resources and organizational structure. They have fewer resources to withstand existential-threatening crises or
GameFi is one exciting narrative in defi, and @NEARProtocol is where the cool web3 games are building rn
That said, here’s one undervalued project you won't want to miss out on; @Joystick_labs, the GameFi Game Changer!
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@bloomstarbms
A 🧵
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