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Bitter truth.
No nonsense.. to the point
There are no entry jobs anywhere
What about a physicist who have MSc of applied physics focused on AI? I want to keep my options avaliable for the case that I won't continue to academia.
instead of asking, just work and work and work and work, and you become what you want if you give all that's all
I searched
“what is degree in machine learning”
This video comes 😑
😅
Ouch
Honesty is the best answer, big thank you after two years, I saw this video two years ago, and understood it, in the matter of fact I lived by it since then.
I already had coding knowledge, a strong math foundation, and more technical skills, so I went for a DevOps engineer role for more than two years, just to build the deployment knowledge I needed and strengthen my ML skills.
Now, I am on the way to reach the goal, your honesty maybe discouraged a lot of people but believe that it inspired many to walk this road.
kudos data janitor 🔥
So, you advise becoming a software engineer such as front-end or backend developer instead of machine learning engineer ?
Im only 15 years old and I'm taking consideration into machine learning since both programming and math are like my interests and I've been trying to improve my skills in both. Yea, this just pulled me down…
so, what you're saying is…I have a good chance?
people really think if they learn python and javascript and put 2 projects in there portfolio they going to make 200k+ a year 😂 no wonder why these programs have the most dropouts in college
I’m a data “science” (🙄) manager and when we hire a data or report analyst… I care that they have experience and can code in SQL. They should love SQL and dream (wet ones) about building stored procs and SSIS packages. The dirty boring truth is, that’s the vast majority of the job. Writing complex queries to extract useful information from databases that contain a daunting amount of mind boggling convoluted data. It’s not glamorous, it’s frustrating and difficult …. but pays pretty well. AI will integrate with our work eventually.
im from jordan and planning to study and get a degree in Ai and go to the USA, Im 17 yrs old , learning python and wanna learn c++ and get better at math , should I do this plan, Or should I get a degree in computer science and make my way to Ai by myself , like learning it from youtube or smth like this?
I am still at collage I've noticed nothing exites me more then ML. However there is no way I could get job as ML engineer straight out of collage. Junior roles simply are not there. I'd probably have to start as data analyst and work my way up to data science. That seems like good career, that also allows for using machine learning. Do you think such transition it possible in a couple years?
Ok, I agree that ML is not a starting career. I also know that there are plenty of supportive careers surrounding ML. Like Devs are supported by QA or BA and could become a stepping stone towards the Developer career. So are there such careers around ML that are more realistic to achieve? Thank you
So is the best way to learn data analysis and then data science and then machine learning?
How about without math or just high school math which I did was about 3yrs aga (call it a no math experience at all)??Is it still a good job because planning to switch from software to ML??
At 56 as I reach my older years I was considering a possible career transition into machine learning. I guess I should not even bother if it's not a career that welcomes inexperienced newcomers.
I thought I needed to learn statistics, Python and only a machine learning course ☹️
Idk, I come from an engineering background (in fact, I have a masters degree with several publications). Software development always seemed overly complicated by the actual developers. They don't do anything actually difficult, besides dealing with stupid details (which to be frank every field has its fair share of).
As for concepts in machine learning, pretty much boils down to statistics, linear algebra, some surface level calculus, and domain specific programming skills. Nothing special.
"Most technical and difficult field in programming"
That's more a testament on how braindead software developers actually are that to how difficult ML is.
But idk? You guys make 2x more than me, so you must be doing something right?
The bit about entry level jobs hit close to home.
I'm a software engineer who specialized in AI/ML in undergrad, and currently in a masters to deepen my ML knowledge, and finding an entry level Data Science or ML job has been impossible.
There is another harsh truth here and thats – AI.
Whether or not ML is good or bad a lot of it if not all is done with AI. Same thing with SQL related tasks, Data Analyst tasks, etc.
Straight to the point love it
I love it!:)
What about NLP and computational linguistics?
Hi, just came across this video and wanted to ask a few questions.
Im a 1st year chemist passionate about molecular structure solving, spectroscopy and quantum chemistry. Started reading IBM articles about AI and machine learning in the sciences as well as Demis Hassabis' AI model for predicting protein structures. Im not aiming for a career in Machine Learning but I'm trying educate myself more on AI, ML , and computational chemistry to help me achieve my long-term goals (make some valuable contribution to solving molecular structures).
Am I out of my depth and wasting my time?
How deep should I go?
Also, if it doesn't work out would creating any small projects based on AI or ML in chemistry hold any weighting on a cv for a software engineer role?
Thanks in advance.