Data scientists are becoming more like data analysts. They answer BI questions and the ml models they develop are for self use. Where as MLE the goal of their ml model (in all kinds of modality) is to serve customers, that’s where engineering comes in, for productionalization. That’s why it’s harder.
Data scientists focus on analyzing and interpreting complex data to drive business decisions, often using statistical methods and visualization. Machine learning
Hi Exaltitude. Am your new subscriber. So glad to see the notification. Currently am learning data science and love this video. Thank you for talk about data science vs machine learning. Keep it up!
Great info shared in this video. There is definitely a distinction to be made between Data Science vs. Machine Learning. It can be pretty unclear at first glance. But a dive into the intricacies truly uncovers a few cool & unique subsets of info for each subject matter.
Really tough to break into, especially if your university isn't the best one in the country. Ig networking is the easiest way to get an "internship" which puts your foot in the door. Atleast in India, half of the startups are paying peanuts to do what is essentially data-entry tasks, paying close to 25% of what other established companies pay for a Software Internship :/
I don't know why😂 but I restricted other yt channels discussing broadly about the future scopes and importance of Data Science and ML. I just love to enlighten my knowledge of Data Science, ML, AI only from you😂😂 I wait eagerly for your videos, I get a different vibe from your contents. I refuse to gain knowledge from other channels😂, I just want you to teach me. Please carry on making contents, otherwise I'll stay illiterate in this field throughout my whole lifeeeeee😂
That’s odd. I use power bi as a part of my enterprise 365 account. I do all this without any degree. Power query extract data from SharePoint via excel or list (or any other database) i cleans and transforms the data loads it to power bi. Then I create visualization and post those a dashboard people subscribe to. I am not an engineer or scientist…. At all
Nlp is like chat gpt many companies are implementing them just so they can ride on ai hype. Idk what u mean responsible ai field i think u mean prompt engineer and ai correctors? Their demand will be"high" just as swe is "easy". Their scope is ok
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Data scientists are becoming more like data analysts. They answer BI questions and the ml models they develop are for self use. Where as MLE the goal of their ml model (in all kinds of modality) is to serve customers, that’s where engineering comes in, for productionalization. That’s why it’s harder.
Data scientists focus on analyzing and interpreting complex data to drive business decisions, often using statistical methods and visualization. Machine learning
Hi Exaltitude. Am your new subscriber. So glad to see the notification. Currently am learning data science and love this video. Thank you for talk about data science vs machine learning. Keep it up!
Welcome aboard!
Jean is very supportive and answers the deepest questions Noobs in the AI space would have, in the realest and clearest way possible. Thank you Jean💐💐
Great info shared in this video. There is definitely a distinction to be made between Data Science vs. Machine Learning. It can be pretty unclear at first glance. But a dive into the intricacies truly uncovers a few cool & unique subsets of info for each subject matter.
Absolutely!
loved your analysis. Gained tons of insight. great video as always madam.
Glad you liked it!
Really tough to break into, especially if your university isn't the best one in the country. Ig networking is the easiest way to get an "internship" which puts your foot in the door. Atleast in India, half of the startups are paying peanuts to do what is essentially data-entry tasks, paying close to 25% of what other established companies pay for a Software Internship :/
I don't know why😂 but I restricted other yt channels discussing broadly about the future scopes and importance of Data Science and ML. I just love to enlighten my knowledge of Data Science, ML, AI only from you😂😂 I wait eagerly for your videos, I get a different vibe from your contents. I refuse to gain knowledge from other channels😂, I just want you to teach me. Please carry on making contents, otherwise I'll stay illiterate in this field throughout my whole lifeeeeee😂
Thanks for watching and for the first comment!
Haha! This Wins Comment for the Week
True Words tho iabhheek609 .,@@exaltitude
One day I'll become an ai engineer
Definitely
I'll pray for us
So one first becomes a data analyst to data scientists and then to ai/ml enginner right? Is this the step by step process?
@@InspoShreyoWell yeah, but AI/ML Engineer need degree like PhD
@@OhnoTaata Sh*t
Great and easy explanation !! 👍👍
Good luck getting into these fields 😂 been at it for close to a year now😈
U are a ml engineer? Can u reach out?
Can you please list the data structures and algorithms student have to study and know for ML engineer?
do you think is it possible to mix surgery and ai/ml?
That’s odd. I use power bi as a part of my enterprise 365 account. I do all this without any degree. Power query extract data from SharePoint via excel or list (or any other database) i cleans and transforms the data loads it to power bi. Then I create visualization and post those a dashboard people subscribe to. I am not an engineer or scientist…. At all
So one first becomes a data analyst to data scientists and then to ai/ml enginner right?
Can I start a career as a machine Learning Engineer?
Hey Jean can you give some review about UChicago MS in CS program please
Did you look it up on US news?
@@exaltitude yes it has 24th ranking in computer science domain
In my experience, Uchicago is typically not one of the top universities tech companies prioritize recruiting from
@@exaltitude ok thanks for your help 👍
Hey remember me 😀, can you give me a brief difference between Responsible AI field and NLP, their future scope extra.... I'm confused 😕
Nlp is like chat gpt many companies are implementing them just so they can ride on ai hype. Idk what u mean responsible ai field i think u mean prompt engineer and ai correctors? Their demand will be"high" just as swe is "easy". Their scope is ok
What other "high demand" do you forsee as within this hype and Scope @@funnyguydragon
majoring in computer science is okay?
Okay for what?
@@exaltitude ML engineer
It’s best to study ML if you want to become a ML engineer
my queen 🥺❤❤❤
Data Scientist is becoming a controversial term. Not very exact or precise.. like ML or DE
I'm from India and I'm going to start my AI and ML Btech degree of 4 years
What think I should focus on to get a good jo???
Practical experience like internships as early as possible