Listers saidia.
- Thread starter Mk The Don
- Start date
Female Perspective
Elder Lister
Waste of time and money. You brother is not book smart steer him in the direction where his star shines...talk to him, find out what he likes. . P.S, riding nduthi is not an option!
Watu wa A's tuketi wapi jameni?
Mk The Don
New Lister
That is what is in my mind too.
Aviator
Elder Lister
Did you mean watu Wa Ass?
It's Me Scumbag
Elder Lister
Indeed,cursed be the foolish. Where was the indication that that conversations ever took place?
Female Perspective
Elder Lister
Snitching on your ASS! @admin is this comment relevant?
Mwalimu-G
Elder Lister
it is witty
Therapist
Lister
Bad idea. But najua itaenda Tu. Heri umpeleke computer pride afanye those NCC Courses
Therapist
Lister
My bro in-law alijipeleka pale border kufanya money changing. The Nigga is damn rich one year later Hadi wasee huko wameungana kumfukuza.
Aviator
Elder Lister
Snitches are worse than bitches.
Now imagine a snitching bitch.
(With a light touch)
Hizo umesema kama hajui hesabu especally Linear Algebra and Statistics then awachane nazo. Hawesmek
But he can be a data Engineer since they work together with data scientists. He just needs to learn a programming language like Python or java or Scala. Learn databases and he will be fine. Plus you dont need to know the maths data scientists and Machine learning guys have to know
This are just fancy titles data science, data engeneer, machine learning...
Unless you are employed at the research labs themselves that do robotics and stuff, you don't need the calculus or statistics or any advanced maths, it's just application and anyone with an interest in the same will do well.
It applies across, medicine, engeneering, law any body with an interest and of average intelligence Wil do well, specialized intelligence is only needed in research, the application side is not that complex.
Nostradumbass
Lister
Mombasa Poly
I think you are the one who has no idea of what you are talking about. Those job descriptions are different, there is nothing interchangeable. Why do you think companies like Amazon have different job descriptions for them? https://www.amazon.jobs/en/job_categories/business-intelligence
Data Science
Our data scientists are the link between our business, customers and technology solutions. By modelling and transforming datasets, our data scientists provide valuable insights that help us to make decisions and build customer solutions.
www.amazon.jobs
where people say that jobs are the same are those companies who don't know what they are looking for
This are just fancy titles data science, data engineer, machine learning...
Why do you think companies like Amazon have different job descriptions for them? https://www.amazon.jobs/en/job_categories/business-intelligence
View attachment 2553
Data Science
Our data scientists are the link between our business, customers and technology solutions. By modelling and transforming datasets, our data scientists provide valuable insights that help us to make decisions and build customer solutions.www.amazon.jobs
View attachment 2554
where people say that jobs are the same are those companies who don't know what they are looking for
Unless you are employed at the research labs themselves that do robotics and stuff, you don't need the calculus or statistics or any advanced maths, it's just application and anyone with an interest in the same will do well.
It applies across, medicine, engeneering, law any body with an interest and of average intelligence Wil do well, specialized intelligence is only needed in research, the application side is not that complex.
I did not mention that jobs are the same, was highlighting the the need for mathematics
The fact that you are using the same reply twice means that you copied this reply from some other place and know nothing.
If let's say KCB bank wants to create a new mobile app with a loan lending feature that determines who to give and who to deny loans and what amount to give. You think any Kamau, Otieno and Wanjala who know python data science libraries or R can create such a model without a solid Mathematics and stats background?
The Data Scientist will come up with the model and what variables it will be based on
The Data Engineer will help with the cleaning of this data, create a pipeline for the data scientist to work with. for its storage
The data scientist will then analyze the data, create insights then finally come up with a model
The mAchine learning Engineer will translate this model created by the data scientist into production code for the app together with the dev team
After deploying the model to production the data scientist will continue refining it, the ML engineer keeps updating it on production and the data engineer ensures there is a smooth pipeline for the data scientist.
And this is why I still insist that Just because you know Pandas, TensorFlow, Sci-kit learn and other libraries will not make you a Data scientist if you don't have the math background
This article explains it in depth https://www.datacamp.com/community/blog/data-scientist-vs-data-engineer