I've been learning programming over a month, but web development is not my passion and everyone talks about it. This is what I want to do, I'll follow this path. Thanks for your video and tips!
You have to a be a good Software developer first than dive into niche things like AI in order to work in this field. Kind of job/work which Boris does is work of an AI researcher and requires insane amount of dedication and passion. Also the amount of opportunities are extremely less here so its better to first learn fullstack dev, some devops and than compliment it with AI and build end to end web/mobile apps which has some AI component in it. This will be a lot better and will open a lot of opportunities.
I’m on my ml research internship, I’m a sophomore student, my first ongoing task was to reconstruct a deep learning architecture to make it work, I surprisingly improved the paper results on my setting. Did I do well? Was surprised when I saw the first point, decided to write this😂😅
Hi boris! I have been in nonprofits for a long time and I want to start learning ML. I know I am coming with no experience whatsoever but your videos are keeping me motivated. I hope I can do it! Thanks!
Also, I am doing a degree in CS and have taken a basic ML course where i have learned about decision trees, random forest, naive bayes algorithm and clustering techniques. In this summer, i will do an internship where i will work on creating an object recognition model to identify certain objects. I have also worked on a Computer Vision (CV) model in my internship last sunmer so i have experience making Convolution Neural Networks and using them to apply CV in fire images. What skills should i learn to improve my understanding?
I am undergraduate student keenly interested in learning more about ML. You mentioned that you read ML papers and implement the ideas present in them? Can you elaborate this with an example? Like what research paper did you read and what exactly did you do for its implementation? Thank you for the video btw 😊
I'm on an internship rn and my first task is to recreate a paper and update it cause it was made in 2017 with an older library, after that I'd need to use the algorithms presented onto real life dataset solving real problems
@2:54 I have been posting working demos of my projects that people can quickly tinker with but maybe also blow g post is good idea. Im sure you can automate that process as well
Demos is also a great idea! (How did au not think of adding that haha) Those can surely also be a great supplement to blog posts. With blog posts you can just share more details of the process, experimentation, ideas, different prototypes, what worked and what didn’t, and so on ☺️
Hi Boris! Dein editing ist echt top-notch mittlerweile 👍🏻 Möchte kommendes Jahr auch an der TU-Berlin studieren - auch mit Fokus auf AI/ML. Bin gerade an der Uni Leipzig. Würdest du nochmal in Berlin studieren, wenn du es dir aussuchen könntest? Danke für die tollen Tipps und die Inspiration!
Kleine Ergänzungsfrage noch: Würdest du für AI/ML Interviews trotzdem Leetcode Grinden? Habe gehört, dass selbst in diesen Rollen gerne Leetcode fragen als „IQ Test“ kommen
Hey 👋🏼 Erstmal danke für die netten Worte! Bezüglich TU Berlin würde ich sagen die Uni ist auf jeden Fall nicht schlecht. Während des Studiums kommt es am Ende vor Allem darauf an, wie sehr du dich mit AI/ ML beschäftigst. Die Uni kann dir nur die basics beibringen, da ist es relativ egal, wo du bist. Was wichtig ist, ist an was für Projekten du arbeitest oder was für Erfahrung du als Werkstudent sammelst. Daher ist TU Berlin nicht das einzige was ich empfehlen würde. TU München ist natürlich die best e Uni, RWTH Aachen und KIT sind natürlich sehr gut. Wenn du den "Berlin Vibe" magst, oder eher einen der verschiedenen "Berlin Vibes" haha, ist TU Berlin ganz gut :) Bezüglich Leetcode, wenn du dich für tech Unternehmen bewirbst, auf jeden Fall haha Hoffe das hilft!
Danke für die ausführliche Antwort! Nicht schlecht reicht mir glaube ich haha. Denn wie du sagst, am Ende muss man, egal wo man ist, wohl die Eigeninitiative aufbringen. So toll eine TUM sein mag, wenn dort auch die Belastung durchs Studium sehr hoch ist bleibt unterm Strich weniger Energie für einen Job oder Projekte. Möchte auch nach Berlin, weil eine Fernbeziehung nach z.B. Tübingen oder München denke belastender wäre, als nach Berlin, was dann wieder mehr Energie kostet. Ich finde außerdem Startups interessant, die es in Berlin ja genug gibt. Was die „Berlin Vibes“ angeht habe ich mich glaube ich in Leipzig schon ganz gut ausgetobt ^^
Great work, Boris, very impressive. I am trying to solve a problem that I encountered in cell therapy drug development. I am looking for like minded talents to launch an open source project. Can you help expediting this?
Boris. many thanks for these 2 videos I'm an Energency Math teacher from LA Unified Unified School District teaching A-Level Computer Science prep course in Moscow to Russian and Expat 12th & 13th Grade/Form students. I was the Econ Data Scientist at The Conference Board in NYC from 1991-93. I started to follow AI Nov 30, 2022, when my Linear Algebra training alerted me that someone developed a way to permit computers to "understand" word symbols as well as they "process" number symbols. I'm returning to either Phila or LA after school ends this June to pursue ML leaning, teaching, and its usage. VPN blocking here slows down access to most LLMs. I have more than enough math background, as you can see, and am having fun reading the first UK published ML 515pg textbook. Your tips will help streamline my approach to learning and using ML ASAP. I will watch Andrew Ng's video ASAP Again, Many Thanks. George Dole
Hey Boris. Love your videos they are extremely helpful. I have 2 questions one regarding blog post. Forgive me if I sound like an idiot. But regarding blog post I don't have an idea on which platform one should upload that blog post. Second question being, how can one find good papers to read and reimplement. Please help.
thanks for the video........ Can you please make a video for AI engineering too? Machinelearning is fun but i wanna expand my domain to AI engineering too.....
I'll see if I can make a whole video on this, but what I truly believe in is simply learning by doing. Get started with simple tutorials and then move to actual projects (e.g. on Kaggle). I hope this somewhat helps :)
btw where can i find good research papers coz there are many duplicate journals and all that have no real value...if u can tell me some good journals it will be helpful....thx
hey man Im a beginner- Im done with learning python, Im done with the andrew ng courses and I have built a couple of- well- starter projects if I may call them that. could you please tell me where I can find the ml papers you're referencing and what should I look for? I just searched the internet and there are TOO many sites with research papers :'(
To build a strong machine learning portfolio in 2024, start by showcasing a range of projects that demonstrate your skills with diverse datasets and algorithms. Include detailed case studies, code samples, and results to highlight your problem-solving abilities. Smythos offers tools and resources to help you craft a compelling portfolio and stay current with industry trends.
Hi Boris! Was sind deine Erfahrung zum Gewicht der Uni? Ich studiere aktuell Data Science im Bachelor an der Uni Stuttgart. Lohnt es sich für Master/ggf. PhD bspw. an die ETH Zürich o.ä. zu gehen oder ist da der Mehrwert nicht so hoch, wenn man auch andere Dinge tut wie Werkstudentenjobs, eigene Projekte, Paper nachbauen,…
Ich denke ETH Zürich wäre durchaus ein Mehrwert, einfach wegen des Namens schon. Am Ende geht es um deine Fähigkeiten, das stimmt, aber die Uni bietet idealerweise mehr an als einfach Lehre (Vorlesungen), die man auch durch kostenlose videos auf YT finden kann. Die ETH stell hoffentlich (bestimmt) gute Mittel zur Verfügung und (viel wichtiger) ist ein Ort an dem du andere Menschen findest mit denen du zusammen arbeiten kannst. Sei es andere PhD Studenten als deine Betreuer, oder andere Mitstudenten mit denen du zusammen sehr gut arbeiten kannst. Also, wenn du die option hast deinen Master and er ETH zu machen, würde ich sagen, das ist eine gute chance. Vor allem wenn du ML research machen möchtest, wird ein Master schon eher das mindeste sein. Ausnahmen gibt es immer, aber im allgemeinen wollen die meisten Unternehmen einen PhD, mindestens einen Master, oder andere Art an gleichwertigen Qualifikationen (z.B. lange Erfahrung in anderen ML Bereichen, eigene research Projekte, usw.) Wenn es eine nicht so Namenhafte Uni wäre (die einfach vom Namen her Vorteile bietet), wenig Ressourcen hat und die Mitstudenten wahrscheinlich nicht die Besten sind (weil es nicht so schwer is in die Uni reinzukommen), würde ich sagen, dass es andere, potentiell bessere Wege gibt. Ich hoffe das hilft haha 😊
@@borismeinardus Ja, danke😀 Ja, dass mit den Mitstudenten ist eigentlich mein Hauptgedanke, merke bei mir an der Uni, dass ich in meinem Jahrgang nur so 1-2 Leute von den 300 kenne die ähnlich gut und ambitioniert sind… Problem mit der ETHZ ist für mich hauptsächlich die sehr frühe Bewerbung (November) und die dafür benötigten Unterlagen wie Englisch Zertifikat (das ich nicht hab, und deutlich aufwendiger erscheint als ich gedacht hätte…) und die akademischen Empfehlungsschreiben, hatte bis jetzt eigentlich keinen richtigen Kontakt zu Profs o.ä. Da ich eigentlich hauptsächlich autodidaktisch lerne und damit viel schneller und trotzdem gut (1,3er schnitt) bin. Von daher müsste ich halt irgendwie das Englisch Zertifikat bis November machen, n Seminar vorlegen um Betreuer zu haben die mir dann Empfehlungsschreiben machen können und gleichzeitig würde ich ja auch noch gerne eigene Projekte, Werkstudentenstelle mit 15h und Bewerbungen für Praktika 2025 machen, das scheint dann schon sehr stressig, deswegen der Zweifel. Alternativ fand ich noch den Data Engineering Master am HPI in Potsdam interessant, da scheint es auch sehr gute Leute zu geben und das Institut ist halt auch monetär sehr gut aufgestellt, dafür scheint mir das international recht unbekannt zu sein, aber dort braucht man weder akademische Empfehlungsschreiben noch Englisch Zertifikat😅
@@florian_d Ja verstehe! Das Zertifikat sollte nicht so schwer sein. Ich habe den TOEFL Test gemacht und mich da ein paar Wochen etwas darauf vorbereitet. Diese Empfehlungsschreiben sind auch nicht so dramatisch wie man vllt denkt. Ich hatte auch nie so engen Kontakt zu Profs, aber das ist auch eher normal in Deutschland. Du kannst da einfach einen anschreiben wo du nen Kurs hattest, sagen wie toll du es fandest, dass du auch eine tolle Note hattest und das reicht oft. Vllt musst du dann dein Schreiben selbst schreiben und der Prof mach kleine Überarbeitungen und unterschreibt. Es ist in der Tat stressig. Auf jeden Fall. Aber ETH ist durchaus eine sehr gute Uni, die es in meinen Augen Wert sein sollte.
Hey, The thing is if I already post about some of my projects on platforms like LinkedIn, would it still be necessary to make papers about them? and if so, where can I put them to be accessible for recruiters or scouts?
Publishing a paper about your work is difficult. Writing a blog post about it usually gives you more room for explaining you project, showing results, and more visualizations. I thin reading a blog post, where everything is in one place is also more comfortable than looking at a LinkedIn post or thread. You can write such blog posts on your personal website (I link to my video on how to build one in the info card) or perhaps even just on something like Medium. But I would recommend doing so on you personal website :)
Hi. Just stumbled on this and its trult great. However, i never had a background in ML or any data knowledge. Just began taking some online courses on cousera and udemy for ML. I'm not sure very well what im doing, but i lobe the idea of ML usage in finance and customer churn. Please, I'd really appreciate any advise or suggestions you could give me at this point.
Thank you so much! Getting such positive feedback really helps me keep it up 😊💛 It's difficult to give good direct advice without knowing more about you and your current state, but one tip might be to just get you hands on some financial data (google for it, and perhaps have a look at Kaggle) and start building. Google around as much as possible trying to fix one problem after the other. You can also always write me an email and I'll do my best to get back to you, but if you want to ask more complex questions and get some better mentoring feel free to simply book a 1-on-1 call on my calendar :) calendly.com/boris-meinardus/consulting You can also subscribe to my free weekly newsletter where I share even more advice on learning ML newsletter.borismeinardus.com I hope this somewhat helps haha 😊💛
Can someone suggest some sites where we could write Blog posts Boris recommends, like sites that would be considered good / professional by other developers not general purpose like Quora or something
@algebraiccontinuation9291 gave a short answer haha Doing a full analysis would take some time, but this is the trend. Companies like PyTorch. It is more supported by current libraries like huggingface and so on.
I believe 3 of the people I mention have a PhD :) That said, having a PhD does not automatically mean you are a good ML researcher. The skill spectrum of people with an ML PhD is very wide, ranging from absolutely amazing to worse than some grad students. That is what I have experienced personally, and what successful PhD students and professors have told me. I hope this somewhat addresses your concern 😊
U just gave what everyone is talking about but nothing to show or implement? This video is of no use my buddy . Another youtuber making vedios which are waste of time
Hi Boris! First of all, I absolutely love your videos. Your passion in this field combined with your desire to teach other people really inspires me. I would really appreciate if I could connect with you on LinkedIn or email. I am starting my career in Machine Learning and have some questions. I have sent you a LinkedIn request as well. 😀
Thank you so much! Getting such positive feedback really helps me keep it up 😊💛 You can always write me an email and I'll do my best to get back to you, but if you want to ask more complex questions and get some better mentoring feel free to simply book a 1-on-1 call on my calendar :) calendly.com/boris-meinardus/consulting You can also subscribe to my free weekly newsletter where I share even more advice on learning ML newsletter.borismeinardus.com I hope all this helps 😊💛
![🔴 ฟุตบอลแชมป์กีฬา 7HD แชมเปียน คัพ 2024 [รอบรองชนะเลิศ]](http://i.ytimg.com/vi/zPm8ClLVhoE/mqdefault.jpg)
Somebody let this man cook
👨🏼🍳👨🏼🍳👨🏼🍳
I've been learning programming over a month, but web development is not my passion and everyone talks about it. This is what I want to do, I'll follow this path. Thanks for your video and tips!
Amazing! Keep it up ☺️
SAAAAAMMEEEE
Web Dev is soooo saturated and easy to get into, this is more challenging and fun
Thanks for doing so much. Have you got a ML Engineer CV template?
web dev sucks
You have to a be a good Software developer first than dive into niche things like AI in order to work in this field. Kind of job/work which Boris does is work of an AI researcher and requires insane amount of dedication and passion. Also the amount of opportunities are extremely less here so its better to first learn fullstack dev, some devops and than compliment it with AI and build end to end web/mobile apps which has some AI component in it. This will be a lot better and will open a lot of opportunities.
Love your videos, keep it up! Appreciate what you're doing.
Thank you so much for the kind words ☺️
I‘ll do my best to not disappoint you 🫡
I’m on my ml research internship, I’m a sophomore student, my first ongoing task was to reconstruct a deep learning architecture to make it work, I surprisingly improved the paper results on my setting. Did I do well? Was surprised when I saw the first point, decided to write this😂😅
thank you for your ideas and motivation!
I‘m really glad you liked it!!
Would love it if you did a vid on good papers to replicate, perhaps a diversity of models being used?? Thank you
More success to you man! Keep up the good work!!
Hi boris! I have been in nonprofits for a long time and I want to start learning ML. I know I am coming with no experience whatsoever but your videos are keeping me motivated. I hope I can do it! Thanks!
Fantastic tips! It really helps!!!!!
I‘m really happy to hear that! ☺️
Exactly what I was looking for!!
🤩🤩🤩
Also, I am doing a degree in CS and have taken a basic ML course where i have learned about decision trees, random forest, naive bayes algorithm and clustering techniques. In this summer, i will do an internship where i will work on creating an object recognition model to identify certain objects. I have also worked on a Computer Vision (CV) model in my internship last sunmer so i have experience making Convolution Neural Networks and using them to apply CV in fire images. What skills should i learn to improve my understanding?
I am undergraduate student keenly interested in learning more about ML. You mentioned that you read ML papers and implement the ideas present in them? Can you elaborate this with an example? Like what research paper did you read and what exactly did you do for its implementation? Thank you for the video btw 😊
I'm on an internship rn and my first task is to recreate a paper and update it cause it was made in 2017 with an older library, after that I'd need to use the algorithms presented onto real life dataset solving real problems
Sir all your videos are really helpful to me
I am genuinely really happy to hear that!! Thank you so much for the kind words ☺️
@2:54 I have been posting working demos of my projects that people can quickly tinker with but maybe also blow g post is good idea. Im sure you can automate that process as well
Demos is also a great idea! (How did au not think of adding that haha)
Those can surely also be a great supplement to blog posts. With blog posts you can just share more details of the process, experimentation, ideas, different prototypes, what worked and what didn’t, and so on ☺️
Amazing tips🙏
love your content !
Thank you! 😊
Thank you!
🤗
Hi Boris!
Dein editing ist echt top-notch mittlerweile 👍🏻
Möchte kommendes Jahr auch an der TU-Berlin studieren - auch mit Fokus auf AI/ML. Bin gerade an der Uni Leipzig.
Würdest du nochmal in Berlin studieren, wenn du es dir aussuchen könntest?
Danke für die tollen Tipps und die Inspiration!
Kleine Ergänzungsfrage noch:
Würdest du für AI/ML Interviews trotzdem Leetcode Grinden? Habe gehört, dass selbst in diesen Rollen gerne Leetcode fragen als „IQ Test“ kommen
Hey 👋🏼
Erstmal danke für die netten Worte!
Bezüglich TU Berlin würde ich sagen die Uni ist auf jeden Fall nicht schlecht. Während des Studiums kommt es am Ende vor Allem darauf an, wie sehr du dich mit AI/ ML beschäftigst. Die Uni kann dir nur die basics beibringen, da ist es relativ egal, wo du bist. Was wichtig ist, ist an was für Projekten du arbeitest oder was für Erfahrung du als Werkstudent sammelst. Daher ist TU Berlin nicht das einzige was ich empfehlen würde. TU München ist natürlich die best e Uni, RWTH Aachen und KIT sind natürlich sehr gut. Wenn du den "Berlin Vibe" magst, oder eher einen der verschiedenen "Berlin Vibes" haha, ist TU Berlin ganz gut :)
Bezüglich Leetcode, wenn du dich für tech Unternehmen bewirbst, auf jeden Fall haha
Hoffe das hilft!
Danke für die ausführliche Antwort!
Nicht schlecht reicht mir glaube ich haha. Denn wie du sagst, am Ende muss man, egal wo man ist, wohl die Eigeninitiative aufbringen.
So toll eine TUM sein mag, wenn dort auch die Belastung durchs Studium sehr hoch ist bleibt unterm Strich weniger Energie für einen Job oder Projekte.
Möchte auch nach Berlin, weil eine Fernbeziehung nach z.B. Tübingen oder München denke belastender wäre, als nach Berlin, was dann wieder mehr Energie kostet.
Ich finde außerdem Startups interessant, die es in Berlin ja genug gibt.
Was die „Berlin Vibes“ angeht habe ich mich glaube ich in Leipzig schon ganz gut ausgetobt ^^
Great work, Boris, very impressive. I am trying to solve a problem that I encountered in cell therapy drug development. I am looking for like minded talents to launch an open source project. Can you help expediting this?
Hi , I really loved this video. i was wondering where you can make the blog posts?
Thank you ☺️
You can post them on you personal website or on an app like Medium :)
Boris. many thanks for these 2 videos I'm an Energency Math teacher from LA Unified Unified School District teaching A-Level Computer Science prep course in Moscow to Russian and Expat 12th & 13th Grade/Form students. I was the Econ Data Scientist at The Conference Board in NYC from 1991-93. I started to follow AI Nov 30, 2022, when my Linear Algebra training alerted me that someone developed a way to permit computers to "understand" word symbols as well as they "process" number symbols. I'm returning to either Phila or LA after school ends this June to pursue ML leaning, teaching, and its usage. VPN blocking here slows down access to most LLMs. I have more than enough math background, as you can see, and am having fun reading the first UK published ML 515pg textbook. Your tips will help streamline my approach to learning and using ML ASAP. I will watch Andrew Ng's video ASAP Again, Many Thanks. George Dole
Hey Boris,
I wanna switch my career from DevOps to Data Science. Will following these steps help me achieve it?
Amazing Boris ! 😃 , keep it up 👍
Thank you very much! I'll do my best! :)
Really love your videos
Thank you, I really appreciate it!! 💛
Hey Boris. Love your videos they are extremely helpful. I have 2 questions one regarding blog post. Forgive me if I sound like an idiot. But regarding blog post I don't have an idea on which platform one should upload that blog post. Second question being, how can one find good papers to read and reimplement. Please help.
Do I have to be coming from a CS, CE background to get into ML careers? My field has ML implications but not much theory.
I'm on an internship rn and my first task is to recreate a paper and update it cause it was made in 2017 😭
thanks for the video........
Can you please make a video for AI engineering too?
Machinelearning is fun but i wanna expand my domain to AI engineering too.....
Can you please make a video explaining how beginners can practice there ML coding skills? There are no great resources for this AFAIK
I'll see if I can make a whole video on this, but what I truly believe in is simply learning by doing.
Get started with simple tutorials and then move to actual projects (e.g. on Kaggle).
I hope this somewhat helps :)
@@borismeinardus Thank you so much, looking forward to the video!
btw where can i find good research papers coz there are many duplicate journals and all that have no real value...if u can tell me some good journals it will be helpful....thx
Huggingface paper
hey man Im a beginner- Im done with learning python, Im done with the andrew ng courses and I have built a couple of- well- starter projects if I may call them that. could you please tell me where I can find the ml papers you're referencing and what should I look for? I just searched the internet and there are TOO many sites with research papers :'(
Recommendations for open source ml projects to contribute to please
If anybody is interested in collaborating together in recreating results from a paper, feel free to respond to this comment :) Great video Boris!
That's the spirit! 🤩
Thank you 😊
Can I, but Im a rising sophomore can we work together
How can I contact you so write can work together
hey, I am interested, where do we connect?
@bouraslife I am happy to collaborate!
Where do you write these blog posts?? Any specific platform??
Medium, Substack, or on your Personal Website :)
Where can I get machine learning paper
Easiest way is to google for current research in a particular ML domain, browse the publications at conferences, or just browse Arxiv :)
Google scholar and/or pubmed would be two avenues to find more academic oriented papers... But still useful I think
To build a strong machine learning portfolio in 2024, start by showcasing a range of projects that demonstrate your skills with diverse datasets and algorithms. Include detailed case studies, code samples, and results to highlight your problem-solving abilities. Smythos offers tools and resources to help you craft a compelling portfolio and stay current with industry trends.
Hi Boris!
Was sind deine Erfahrung zum Gewicht der Uni? Ich studiere aktuell Data Science im Bachelor an der Uni Stuttgart. Lohnt es sich für Master/ggf. PhD bspw. an die ETH Zürich o.ä. zu gehen oder ist da der Mehrwert nicht so hoch, wenn man auch andere Dinge tut wie Werkstudentenjobs, eigene Projekte, Paper nachbauen,…
Ich denke ETH Zürich wäre durchaus ein Mehrwert, einfach wegen des Namens schon. Am Ende geht es um deine Fähigkeiten, das stimmt, aber die Uni bietet idealerweise mehr an als einfach Lehre (Vorlesungen), die man auch durch kostenlose videos auf YT finden kann.
Die ETH stell hoffentlich (bestimmt) gute Mittel zur Verfügung und (viel wichtiger) ist ein Ort an dem du andere Menschen findest mit denen du zusammen arbeiten kannst. Sei es andere PhD Studenten als deine Betreuer, oder andere Mitstudenten mit denen du zusammen sehr gut arbeiten kannst.
Also, wenn du die option hast deinen Master and er ETH zu machen, würde ich sagen, das ist eine gute chance. Vor allem wenn du ML research machen möchtest, wird ein Master schon eher das mindeste sein. Ausnahmen gibt es immer, aber im allgemeinen wollen die meisten Unternehmen einen PhD, mindestens einen Master, oder andere Art an gleichwertigen Qualifikationen (z.B. lange Erfahrung in anderen ML Bereichen, eigene research Projekte, usw.)
Wenn es eine nicht so Namenhafte Uni wäre (die einfach vom Namen her Vorteile bietet), wenig Ressourcen hat und die Mitstudenten wahrscheinlich nicht die Besten sind (weil es nicht so schwer is in die Uni reinzukommen), würde ich sagen, dass es andere, potentiell bessere Wege gibt.
Ich hoffe das hilft haha 😊
@@borismeinardus Ja, danke😀 Ja, dass mit den Mitstudenten ist eigentlich mein Hauptgedanke, merke bei mir an der Uni, dass ich in meinem Jahrgang nur so 1-2 Leute von den 300 kenne die ähnlich gut und ambitioniert sind… Problem mit der ETHZ ist für mich hauptsächlich die sehr frühe Bewerbung (November) und die dafür benötigten Unterlagen wie Englisch Zertifikat (das ich nicht hab, und deutlich aufwendiger erscheint als ich gedacht hätte…) und die akademischen Empfehlungsschreiben, hatte bis jetzt eigentlich keinen richtigen Kontakt zu Profs o.ä. Da ich eigentlich hauptsächlich autodidaktisch lerne und damit viel schneller und trotzdem gut (1,3er schnitt) bin. Von daher müsste ich halt irgendwie das Englisch Zertifikat bis November machen, n Seminar vorlegen um Betreuer zu haben die mir dann Empfehlungsschreiben machen können und gleichzeitig würde ich ja auch noch gerne eigene Projekte, Werkstudentenstelle mit 15h und Bewerbungen für Praktika 2025 machen, das scheint dann schon sehr stressig, deswegen der Zweifel. Alternativ fand ich noch den Data Engineering Master am HPI in Potsdam interessant, da scheint es auch sehr gute Leute zu geben und das Institut ist halt auch monetär sehr gut aufgestellt, dafür scheint mir das international recht unbekannt zu sein, aber dort braucht man weder akademische Empfehlungsschreiben noch Englisch Zertifikat😅
@@florian_d Ja verstehe! Das Zertifikat sollte nicht so schwer sein. Ich habe den TOEFL Test gemacht und mich da ein paar Wochen etwas darauf vorbereitet. Diese Empfehlungsschreiben sind auch nicht so dramatisch wie man vllt denkt. Ich hatte auch nie so engen Kontakt zu Profs, aber das ist auch eher normal in Deutschland. Du kannst da einfach einen anschreiben wo du nen Kurs hattest, sagen wie toll du es fandest, dass du auch eine tolle Note hattest und das reicht oft. Vllt musst du dann dein Schreiben selbst schreiben und der Prof mach kleine Überarbeitungen und unterschreibt.
Es ist in der Tat stressig. Auf jeden Fall. Aber ETH ist durchaus eine sehr gute Uni, die es in meinen Augen Wert sein sollte.
Hey, The thing is if I already post about some of my projects on platforms like LinkedIn, would it still be necessary to make papers about them? and if so, where can I put them to be accessible for recruiters or scouts?
Publishing a paper about your work is difficult. Writing a blog post about it usually gives you more room for explaining you project, showing results, and more visualizations. I thin reading a blog post, where everything is in one place is also more comfortable than looking at a LinkedIn post or thread.
You can write such blog posts on your personal website (I link to my video on how to build one in the info card) or perhaps even just on something like Medium. But I would recommend doing so on you personal website :)
Hi. Just stumbled on this and its trult great. However, i never had a background in ML or any data knowledge. Just began taking some online courses on cousera and udemy for ML. I'm not sure very well what im doing, but i lobe the idea of ML usage in finance and customer churn. Please, I'd really appreciate any advise or suggestions you could give me at this point.
Thank you so much! Getting such positive feedback really helps me keep it up 😊💛
It's difficult to give good direct advice without knowing more about you and your current state, but one tip might be to just get you hands on some financial data (google for it, and perhaps have a look at Kaggle) and start building. Google around as much as possible trying to fix one problem after the other.
You can also always write me an email and I'll do my best to get back to you, but if you want to ask more complex questions and get some better mentoring feel free to simply book a 1-on-1 call on my calendar :)
calendly.com/boris-meinardus/consulting
You can also subscribe to my free weekly newsletter where I share even more advice on learning ML
newsletter.borismeinardus.com
I hope this somewhat helps haha 😊💛
Are you using google colab pro to recreate some deep learning papers?
it depends on the project. But I generally like to work on a cloud GPU and connect via ssh.
@@borismeinardus Thank you for the answer 🙂
heyy how can i connect to you personally??
Can someone suggest some sites where we could write Blog posts Boris recommends, like sites that would be considered good / professional by other developers not general purpose like Quora or something
Medium, Substack, Personal Webseite :)
@@borismeinardus Tysm Boris♥
@@MRTWEETS my pleasure ☺️
Where can I find ai communities for beginners
Y pytorch over tensorflow?
Significantly preferred in the job market currently.
@algebraiccontinuation9291 gave a short answer haha
Doing a full analysis would take some time, but this is the trend. Companies like PyTorch. It is more supported by current libraries like huggingface and so on.
Is anyone starting on this journey in 2024?
Let's build a community to learn and grow together!!
Seconded
Seconded
thank for the video very instructive... but hum one of your example of people has a PhD ... makes me wonder about your other examples...
I believe 3 of the people I mention have a PhD :)
That said, having a PhD does not automatically mean you are a good ML researcher. The skill spectrum of people with an ML PhD is very wide, ranging from absolutely amazing to worse than some grad students.
That is what I have experienced personally, and what successful PhD students and professors have told me.
I hope this somewhat addresses your concern 😊
U just gave what everyone is talking about but nothing to show or implement? This video is of no use my buddy . Another youtuber making vedios which are waste of time
Hi Boris! First of all, I absolutely love your videos. Your passion in this field combined with your desire to teach other people really inspires me. I would really appreciate if I could connect with you on LinkedIn or email. I am starting my career in Machine Learning and have some questions. I have sent you a LinkedIn request as well. 😀
Thank you so much! Getting such positive feedback really helps me keep it up 😊💛
You can always write me an email and I'll do my best to get back to you, but if you want to ask more complex questions and get some better mentoring feel free to simply book a 1-on-1 call on my calendar :)
calendly.com/boris-meinardus/consulting
You can also subscribe to my free weekly newsletter where I share even more advice on learning ML
newsletter.borismeinardus.com
I hope all this helps 😊💛
Lovely, wish we could study together 🦥🤧
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Lovely, wish we could study together 🦥🤧