I love this video! Thank you so much! I got my Bachelor's in philosophy from a small university where I was in an AI lab studying logic-based AI. I left my master's in philosophy before I finished -- ehh, it wasn't for me. With the area of philosophy I was interested in, I found that most of the texts were untranslated and even Google translate can't completely get some of Husserl's (a philosopher) material just right. So my passion project -- a long-term goal -- is to analyze these untranslated texts with existing NLP tools (rather than building my own algorithms). Anyway keep making these videos... I subscribed!
Your interests sound awesome, and translation is a perfect use case for NLP! For translating philosophy works, it's very important to get the context of the words right. Have a look at Google's BERT - it's one of the newest and most accurate NLP algorithms that is great at represnting words' context. Here's the offical repository: github.com/google-research/bert. If that looks too hard for now - start off with the simpler NLP tutorials and algorithms, but keep BERT in mind! ;). I'm glad this video was useful and thank you for your kind words! :) Good luck!
I think the first step, that is more like a leap, is believing you can. Colleges are great, degrees are valued, but there's nothing about the curriculum you can't learn with enough passion and hard work. Not relying on the structure of college is even a more accurate training to what you'll do when you need to solve problems that have never been solved, you have to deal with ambiguity, and there's no one to give you an assignment. Steeper learning curves force you to learn faster - and what's better than that?
My degree was in Econ as well. I got my MS in Supply Chain a few years ago and now, I want to spend a year or two learning how to be a data scientist or machine learning engineer. Thank you for your videos!
@@mdmd-un2gd hey man, I actually got a position in supply chain with a company I really like so I’ve put the data science stuff on hold. I’m thinking I may return to it though in the future just not right now
I agree it is worth knowing a theory behind the libraries. It is at least worth learning basic algorithms like k-means, naïve Bayes, decision trees, etc. to have overview how ML functions.
Thank you, Karolina, for your tips. I am beginning studying in the world of data and seeing all the possibilities. You open my mind to other perspectives.
Thanks for the video, I'm a mechanical engineer working with Subsea Remotely Operated Vehicles ROVs and see the future of the industry is heading to operate remotely AUVs. Searching how to jump from the old industry to the new one!
Wow im on the same exact spot!! MachE working on underwater ROV looking into AUVs. Mind if I ask you which one you're planning on having as your first job, between ME and AI/ML?
Data wrangling and EDA are two distinct activities. I think at least 80% of actual time is spent on data wrangling for most people b/c w/o data wrangling, you can't input the data into potential models.
Hii Karolina. This is the video I was searching for months. It really made my day. I am a pharmacist by profession and I very much interested in AI. Just day back I have completed AI for everyone by Andrew Ng at coursera. How can I make carrier in healthcare AI? Can you please guide me?
Thanks, I'm glad you found this video useful! I would look at start-ups in the first instance, because they are often focused on actual research, as opposed to larger companies who often prioritise other business branches that are more profitable. The AI course you completed is a great first step! I suggest watching my other video "Landing an ENTRY-LEVEL job in Machine Learning" where I explain the next steps! Good luck! :)
This was a great video. I'm finishing up a degree, BS in mathematics, I really enjoy Calculus and I have a sub-specialization in Statistics. I'm testing the waters to many fields just to find something that I can really learn and grow in and I really enjoyed the concepts behind machine learning and their ties to mathematics. I was hoping to find a mentor like you mentioned in the video, should I do as you suggested and contact someone on LinkedIn? Thank you for any help, and keep up the great work!
You were first learn software developer then Data science and finally machine learning or just startup directly from Data science and then machine learning. I have a question for machine learning you should be learn Data science
Hi Karolina, Thanks for the guidance. I have a MS degree in Mathematics and Computing I want to switch into ML, AI. Do you think I can do this from resources available freely, or should I join some special program. Also does the job scenario depends on region because here in India there are too many ML engineers 😬.
New subscriber here! I'm currently finishing an accounting and finance degree but I'm planning to do a masters in AI. As finance is a quantitative subject and I have done some programming in my degree in a program known as Stata, do you think this will help me for my masters and my career? For clarity, my chosen masters degree programme is at Keele University in the UK. The dream is to become an Artificial Intelligence and Machine Learning Engineer at UK Space Command, fingers crossed! 🤞
Hey Karolina, I'm a student of Applied Geology from a very prestigious institute in India. I wanna know would Machine Learning be great along with Geology?
I don't know much about geology, but I think any area/industry/science needs Machine Learning expert, so you could become one in Geology ;) I think geo-spatial machine learning might be something to look into.
been really finding great information from your videos. Would you have one example of a first/novice ML project for GitHub? I’m working on one right now involving scanning through lists of product/manufacturer names and finding typos (Jaro-Winkler)/duplicates to then narrow the list and begin setting criteria for what JW score is the cutoff. I’m unsure if this project is novice/moderate/etc and could use some feedback. Thanks!
Your project sounds good! In my mind it lies somewhere between novice/intermediate depending on how you approach the problem. Are you going to use some existing libraries to detect typos? And when it comes to a list of projects, I think it's a great idea! I'll try to make a video about it ;)
Thanks for video. Lots of info. what u think regarding going into data science without IT background after 30's? Is there age limit when recruiters say no straight away?
Thank you very Much for the video!! It's quite helpful !! They are some great advices !! Should I search for mentors currently being just passed out from High school? And what to exactly type in search bar of LinkedIn to search for some mentors in ML jobs or Data Science jobs ? Thank you very much!! I shall wait for your reply
Definitely, there always is a good time to search for a mentor, and I think at your stage in life it might be critical! In the LinkedIn's search bar look for people who have titles with your dream career, e.g. "Machine Learning Engineer" and then click on "People" tab - in this way you'll see relevant accounts. I hope that helps, and all the best for you! Let me know if you have more questions :)
@@karolinasowinska Thank you for your reply, I got your point. I have connected to around 30 ML Engineers so far, I even sent you a connection request for mentoring me. If you wish to connect then, please consider this account: www.linkedin.com/in/bhärgáv-räthød-2376641a5
Hi Karolina , I came from non technical background I'am already Medical lab technologist BUT!! I love DATA SCIENCE so much can i get a job on it instead of my medical background ?
Yes, you can! :) Having a background in medical industry is very useful - try to target data science/machine learning jobs within that sector! Once you hone your Python and technical skills, your chances of getting a job will be higher than someone else's without your background :)
I work as software engineer and I am learning machine learning right now , Is it good to start my journey of machine learning in kaggle website? I have seen the course in that website too.
Yep , it's a great place . I am also learning machine learning and I AM 14. Kaggle help me a lot. You can also take a look at some free coursera courses and Google ML tutorials .They are superb. BEST WISHES FOR YOU☺👍
Hi...few of your videos are added in my playlist. Thank you for sharing your real time experience which gave me some valuable insights. I noticed a popping kind of sound the moment the name of the tip flashes on the screen. I request you to replace the sound with any soft/soothing sound or remove it because it hurts my ears
this video is so motivating thank you 😭 I didn’t know it was possible to get into Machine Learning without a CS degree, as I have a biomedical science degree. However I have this fear that am I starting too late? (I will be 22 soon)
I have a tip too.. Don't use those loud sounds when a tip appears (like in 1:13).. With headphones it is like knocking from outside on them with your nails - it is very annoying.. Just make them a little softer next time, Karolina :)
Best place to look for free datasets:
www.kaggle.com/datasets
So, is Udacity nanodegree for machine learning may qualify me to get a job in this field?
Thank you ❤️
I love this video! Thank you so much! I got my Bachelor's in philosophy from a small university where I was in an AI lab studying logic-based AI. I left my master's in philosophy before I finished -- ehh, it wasn't for me. With the area of philosophy I was interested in, I found that most of the texts were untranslated and even Google translate can't completely get some of Husserl's (a philosopher) material just right. So my passion project -- a long-term goal -- is to analyze these untranslated texts with existing NLP tools (rather than building my own algorithms). Anyway keep making these videos... I subscribed!
Your interests sound awesome, and translation is a perfect use case for NLP! For translating philosophy works, it's very important to get the context of the words right. Have a look at Google's BERT - it's one of the newest and most accurate NLP algorithms that is great at represnting words' context. Here's the offical repository: github.com/google-research/bert. If that looks too hard for now - start off with the simpler NLP tutorials and algorithms, but keep BERT in mind! ;). I'm glad this video was useful and thank you for your kind words! :) Good luck!
Yeah, I am a German. Husserl is only interesting ti a certain point when it comes eg. to the philosophy of mind
What do you want, a machine that happens to semantically get Heidegger and friends? :-)
Thanks for the video! This video really inspiring me. I'm from physics degree and now starting to learn machine learning.
I think the first step, that is more like a leap, is believing you can. Colleges are great, degrees are valued, but there's nothing about the curriculum you can't learn with enough passion and hard work. Not relying on the structure of college is even a more accurate training to what you'll do when you need to solve problems that have never been solved, you have to deal with ambiguity, and there's no one to give you an assignment. Steeper learning curves force you to learn faster - and what's better than that?
My degree was in Econ as well. I got my MS in Supply Chain a few years ago and now, I want to spend a year or two learning how to be a data scientist or machine learning engineer. Thank you for your videos!
Oh, that's awesome! It's always a good time to reinvent yourself! :)
@@karolinasowinska Thank you! So you think it's possible to become a self-taught machine learning engineer?
@@nuwanliyanage5684 Yes, when there is a will, there is a way :)
@@karolinasowinska Awesome!
@@mdmd-un2gd hey man, I actually got a position in supply chain with a company I really like so I’ve put the data science stuff on hold. I’m thinking I may return to it though in the future just not right now
I agree it is worth knowing a theory behind the libraries. It is at least worth learning basic algorithms like k-means, naïve Bayes, decision trees, etc. to have overview how ML functions.
Thank you, Karolina, for your tips. I am beginning studying in the world of data and seeing all the possibilities. You open my mind to other perspectives.
Wonderful, I'm glad my videos are useful to you! ;)
First time I have run across you on TH-cam, great points, great video thank you. Be safe
Thanks and same to you!!
Thanks for the video, I'm a mechanical engineer working with Subsea Remotely Operated Vehicles ROVs and see the future of the industry is heading to operate remotely AUVs. Searching how to jump from the old industry to the new one!
Wow im on the same exact spot!! MachE working on underwater ROV looking into AUVs. Mind if I ask you which one you're planning on having as your first job, between ME and AI/ML?
I was working in Oil and gas ...wellsite for 4 of gas domain .I have completed dataquest 40% with 3 projects ...👍👍👍..awesome video 👍👍👍
Will u be my mentor ..in ML n DE transition journey
Thank you! really good tips :)
that was very helpful Karolina .....i am a civil engineer... on the way of transitioning my field to data science
My pleasure! :) Good luck on your journey!
Thanks, Karol Great Content and Motivation for people from Other Domain likely to enter DS.
I study business administration in university and want to start work on machine learning thank you for your helpful and inspiring video .
My pleasure! Good luck!
Awesome video thank you (feedback: Voice is low, we want to hear your beautiful voice right?)
Data wrangling and EDA are two distinct activities. I think at least 80% of actual time is spent on data wrangling for most people b/c w/o data wrangling, you can't input the data into potential models.
You're absolutely right!
Thank you for valuable video
I recommend Pluralsight - great place for learning how to code and dive into more advanced topics from various technologies
100% agree - I used it as well, it's very decent!
OMG are you Jodie Foster’s clon? Cassie Kozyrkov is awesome, I admire her. Your video is very good! I subscribed, keep the good videos coming
Jodie Foster's lost daughter! :) Thanks, I'll keep the videos coming!
i am final year computer engineer and eager to go in a machine learning job
That's great, I hope you'll find some of my videos useful then! :) Good luck on your journey!
Thank you so much. This helped a lotttt.
My pleasure, I'm glad it was helpful! :)
Great video, as always!
Thank you Cassie! :)
Hii Karolina. This is the video I was searching for months. It really made my day. I am a pharmacist by profession and I very much interested in AI. Just day back I have completed AI for everyone by Andrew Ng at coursera. How can I make carrier in healthcare AI? Can you please guide me?
Thanks, I'm glad you found this video useful! I would look at start-ups in the first instance, because they are often focused on actual research, as opposed to larger companies who often prioritise other business branches that are more profitable. The AI course you completed is a great first step! I suggest watching my other video "Landing an ENTRY-LEVEL job in Machine Learning" where I explain the next steps! Good luck! :)
Thank you this wonderful informatics video.
I'm glad you found it usefu! :)
Thank you great video,love from Algeria🤗🙏🏻
My pleasure, I'm glad you enjoyed it! :)
This was a great video. I'm finishing up a degree, BS in mathematics, I really enjoy Calculus and I have a sub-specialization in Statistics. I'm testing the waters to many fields just to find something that I can really learn and grow in and I really enjoyed the concepts behind machine learning and their ties to mathematics. I was hoping to find a mentor like you mentioned in the video, should I do as you suggested and contact someone on LinkedIn? Thank you for any help, and keep up the great work!
Definitely, do make use of LinkedIn, it's a fantastic place, something that no generation before had access too!
I think reason why you got this job is that you still studied economics which is required for some data science jobs
That is true - I had a degree, although I would say it was not a degree directly related to Data Science.
Would you like to make a video on how I can get a job in machine learning.
You were first learn software developer then Data science and finally machine learning or just startup directly from Data science and then machine learning.
I have a question for machine learning you should be learn Data science
Could you maybe talk about interviews for machine learning interview, also maybe how to prep properly for it
Great idea, I'll keep it in mind for the future videos! Thanks!
Hi Karolina, Thanks for the guidance. I have a MS degree in Mathematics and Computing I want to switch into ML, AI. Do you think I can do this from resources available freely, or should I join some special program. Also does the job scenario depends on region because here in India there are too many ML engineers 😬.
Thank you so much...
Welcome! :)
New subscriber here! I'm currently finishing an accounting and finance degree but I'm planning to do a masters in AI. As finance is a quantitative subject and I have done some programming in my degree in a program known as Stata, do you think this will help me for my masters and my career? For clarity, my chosen masters degree programme is at Keele University in the UK.
The dream is to become an Artificial Intelligence and Machine Learning Engineer at UK Space Command, fingers crossed! 🤞
I think that knowing Stata (or more specifically, statistics) will be definitely helpful! Especially for data science/machine learning related jobs.
How long would it take for someone to start from scratch and learn all these things????
I love your video, i need yours guidens step to become dats scientists
Thank you!
My pleasure, let me know if there is anything else I could share to help!
@@karolinasowinska I think that you should try to analyze the vacancies and express your thoughts about them.
thanks again!
@@denismerigold486 Great suggestion, I'll try to do that soon!
Who was your mentor on career transiction?
I had a few colleagues who were great mentors
Hey Karolina,
I'm a student of Applied Geology from a very prestigious institute in India. I wanna know would Machine Learning be great along with Geology?
I don't know much about geology, but I think any area/industry/science needs Machine Learning expert, so you could become one in Geology ;) I think geo-spatial machine learning might be something to look into.
@@karolinasowinska Thanks for the support ❤️
Hi Karolina,
what industry are you currently working if you don't mind me asking.
Hi Felipe, finance!
@@karolinasowinska Great! Same here, do you get to work a lot with time series then?
been really finding great information from your videos. Would you have one example of a first/novice ML project for GitHub? I’m working on one right now involving scanning through lists of product/manufacturer names and finding typos (Jaro-Winkler)/duplicates to then narrow the list and begin setting criteria for what JW score is the cutoff. I’m unsure if this project is novice/moderate/etc and could use some feedback. Thanks!
Your project sounds good! In my mind it lies somewhere between novice/intermediate depending on how you approach the problem. Are you going to use some existing libraries to detect typos? And when it comes to a list of projects, I think it's a great idea! I'll try to make a video about it ;)
Thanks for video. Lots of info. what u think regarding going into data science without IT background after 30's? Is there age limit when recruiters say no straight away?
I don't think there is any age limit. And I think experience in different industries is a plus:)
Any recommendations to practice data preprocessing thingy !
Yes, the article that I mentioned!
Thank you very Much for the video!!
It's quite helpful !!
They are some great advices !!
Should I search for mentors currently being just passed out from High school?
And what to exactly type in search bar of LinkedIn to search for some mentors in ML jobs or Data Science jobs ?
Thank you very much!!
I shall wait for your reply
Definitely, there always is a good time to search for a mentor, and I think at your stage in life it might be critical! In the LinkedIn's search bar look for people who have titles with your dream career, e.g. "Machine Learning Engineer" and then click on "People" tab - in this way you'll see relevant accounts. I hope that helps, and all the best for you! Let me know if you have more questions :)
@@karolinasowinska
Thank you for your reply, I got your point.
I have connected to around 30 ML Engineers so far, I even sent you a connection request for mentoring me.
If you wish to connect then, please consider this account:
www.linkedin.com/in/bhärgáv-räthød-2376641a5
Is it possible to get jobs remotely ? I am in Nigeria and we don't have much AI jobs here
Definitely! Although you'd have to read up on your specific scenario - I'm not sure if you'd need visa/sponsorship from a company
Hi Karolina , I came from non technical background I'am already Medical lab technologist BUT!! I love DATA SCIENCE so much can i get a job on it instead of my medical background ?
Yes, you can! :) Having a background in medical industry is very useful - try to target data science/machine learning jobs within that sector! Once you hone your Python and technical skills, your chances of getting a job will be higher than someone else's without your background :)
I work as software engineer and I am learning machine learning right now , Is it good to start my journey of machine learning in kaggle website? I have seen the course in that website too.
Hi, definitely! Kaggle is widely recognised, putting it on your CV might be useful!
Yep , it's a great place . I am also learning machine learning and I AM 14. Kaggle help me a lot. You can also take a look at some free coursera courses and Google ML tutorials
.They are superb. BEST WISHES FOR YOU☺👍
Would be a mentor 🤞
I'm a mentor to everyone on this channel! ;)
Thank you 😊
Hi...few of your videos are added in my playlist. Thank you for sharing your real time experience which gave me some valuable insights.
I noticed a popping kind of sound the moment the name of the tip flashes on the screen. I request you to replace the sound with any soft/soothing sound or remove it because it hurts my ears
It's my pleasure! I hope in the latest videos I have better sound editing!
Hello mam,Are you a data scientist?
A data engineer with some prior data science experience :)
this video is so motivating thank you 😭 I didn’t know it was possible to get into Machine Learning without a CS degree, as I have a biomedical science degree.
However I have this fear that am I starting too late? (I will be 22 soon)
22? You have whole life ahead of you! Good luck! :)
lol man, I'm 34 and started my BC in applied mathematics.
I love robotics in machine learning. B.T.W you are pretty
Robotics sounds cool! :)
@@karolinasowinska can you please guide me where I could get some friends to code with me
I have a tip too.. Don't use those loud sounds when a tip appears (like in 1:13).. With headphones it is like knocking from outside on them with your nails - it is very annoying.. Just make them a little softer next time, Karolina :)
Haha noted! Thanks :)
BE MY MENTOR PLEASE
I'm running this youtube channel to mentor/help as many people as possible! :)
@@karolinasowinska Yeah ! that's very nice from you :)
tip 1, be a gorgeous girl, tip 2 go wherever you want
hmm I'd rather believe merit is the bigger factor
@@karolinasowinska no doubt about that, nowadays everything is online anyways
when she says "learn "i get distract
I watch your videos to see a pretty woman
Flattery will get you everywhere! ;)
😂😂😂
U totally wrong