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Jesper Dramsch - Real-world Machine Learning
Germany
เข้าร่วมเมื่อ 19 ก.ย. 2015
I build neural networks in Earth science and physics
Danger, here be Pythons. 🐍
I do real-world machine learning and here I share insights and nuggets I find while doing so.
Danger, here be Pythons. 🐍
I do real-world machine learning and here I share insights and nuggets I find while doing so.
Do you ✨really✨ want to live forever through AI?
or is it a curse?
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Join the community:
🎁 latent.club
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The Right to be Forgotten: gdpr.eu/right-to-be-forgotten/
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🎥 My Camera Gear
dramsch.net/r/gear
🎼 My Music
dramsch.net/r/epidemic
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⏱️ Timestamps
0:00 Welcome!
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👋 Social
💙 Linkedin: dramsch.net/linkedin
💜 Mastodon: dramsch.net/mastodon
🖤 Github: dramsch.net/github
🧡 Google Scholar: dramsch.net/scholar
🌍 Main Website: dramsch.net
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📝 Disclaimer
Jesper Dramsch is a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for us to earn fees by linking to Amazon.com and affiliated sites.
Opinions my own. Not financial advice. Sponsors are acknowledged. For entertainment purposes only.
--------------------------------------
Join the community:
🎁 latent.club
--------------------------------------
The Right to be Forgotten: gdpr.eu/right-to-be-forgotten/
--------------------------------------
🎥 My Camera Gear
dramsch.net/r/gear
🎼 My Music
dramsch.net/r/epidemic
--------------------------------------
⏱️ Timestamps
0:00 Welcome!
--------------------------------------
👋 Social
💙 Linkedin: dramsch.net/linkedin
💜 Mastodon: dramsch.net/mastodon
🖤 Github: dramsch.net/github
🧡 Google Scholar: dramsch.net/scholar
🌍 Main Website: dramsch.net
--------------------------------------
📝 Disclaimer
Jesper Dramsch is a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for us to earn fees by linking to Amazon.com and affiliated sites.
Opinions my own. Not financial advice. Sponsors are acknowledged. For entertainment purposes only.
มุมมอง: 31
วีดีโอ
What do zombies and AI have in common?
มุมมอง 7512 ชั่วโมงที่ผ่านมา
In haunted hallucinations we explore weird and creepy AI. Today we fall into the uncanny valley. Join the community: 🎁 latent.club Masahiro Mori: en.wikipedia.org/wiki/Masahiro_Mori_(roboticist) 🎥 My Camera Gear dramsch.net/r/gear 🎼 My Music dramsch.net/r/epidemic ⏱️ Timestamps 0:00 Uncanny Valley 👋 Social 💙 Linkedin: dramsch.net/linkedin 💜 Mastodon: dramsch.net/mastodon 🖤 Github: dramsch.net/g...
Unlock your Creative Potential with AI: ChatGPT for Content Creators @Skillshare
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Are you a content creator looking to take your creativity to the next level? Do you want to harness the power of generative AI to never run out of ideas again? Look no further! In this Skillshare course, led by AI expert Jesper Dramsch, you'll dive into the world of generative AI and learn how to harness the power of ChatGPT to revolutionize your content creation process. Whether you're a write...
Discussion at Real-world Perspectives in Machine Learning for Science
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Why and how make we ML reproducible - Jesper Dramsch
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the SECRET to $87 research papers for FREE legally 🆓
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SSI Fellowship Application 2022 for Jesper Sören Dramsch
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should you spend $1000s on data BootCamps?! 💻
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avoid this MISTAKE - These DATA Science projects COST you jobs 🙅
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get DATA science experience without a JOB👔
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access Nvidia cloud GPU for FREE - 3 ways for Machine Learning in the cloud 💸
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Watch this BEFORE buying a LAPTOP for Machine Learning and AI 🦾
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STOP writing bad Data Science CODE with these 10 tools in VS Code 🐍
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I'd say that using macBook Air 15" and Ryzen based PC = both at price of single macBook Pro - does offer best value. And as far as upgrade is considered - first, do math Ph. D.
your GEFORCE RTX is an NVIDIA card right? got confused!
Wow thank you a lot i feel like i understand a lot better
2024 is this advice still relevant? Eg using only nvidia for deep learning
Mostly yes. Situation is better with AMD and LLMs make GPUs more central to the equation
My bro how to setup my 2x 3090 for machine learning ..they collecting dust now.sub +like even if u dont answer
How is rtx 2050
good video! keep up the good work
I am a complete computer novice and this video was soo helpful. Thankyou
I'm so glad to hear this!
Hello sir , I have an i7 12th gen laptop with no gpu and looking to learn deep learning on it can my laptop handle it with colob or kaggle
when you use generative AI features in Colab, Google collects your prompts related code, generated output, related feature usage information, and of course your feedback
If Im a pyshician and need to have data privacy? I can't just use an online notebook and lie about it in the paper 😅
is it good to use the x-elite notebooks for machine learning and deep learning?
This is a really good video! i stumbled here and got close to buying NPU mini PC. However, I think I am okay running Gemma 2 Ollama and learning. Thank. Subscribed!
Thank you 😊 I got all 3 now
Tremendo trabajo de investigación, gracias por tomarte el tiempo para recopilar toda esta información y resumirla.
for gpu's unless you're a deep learning guy with loaded pockets, it is not worth it to buy some rtx laptop or something with low vram, simply because these things require a LOT of computing, the free kaggle gpus are better in that regard
hey , just read ur words , im new to this it sector (web development and other thing like ai ml )ike a freelancer u can say , for job and for exploring ,studying purposes in this endless field and i like this field , i want a laptop under 80 k or 90 k which can go upto 70 k in sale , first my requirements is that it should last upto 5 or 6 years , deep in this field u know the future of AI and all of that , should i Buy a laptop with dedicated gpu or not .i know for certain that im gonna go deep in this field , could u suggest me laptop with future proofing or laptop which must i avoid (ex- a particular company or smth like that),
Can I do Ho 15 s
you tube algo gods finally decided to give me a relevant video rather than click baits
Neat! Welcome!
Most people keep pondering whether to buy an SUV when they actually need is a cycle.
no one care if you have PHD or any sort of that, just don't tell that right at the beginning of the video, no one care
well it depends on the complexity of the task. suppose you’re working on time series forecasting, you could do that with either scikit or tf/pytorch which are ML or DL respectively. by following the tf/pytorch approach you may get better results due to the NNs, but this approach demands heavy requirements like CUDA for parallel computations and accelerate the process. Meanwhile, if you are satisfied with slightly worse and cardinal results, you could just stick to ML which don’t demand much
I am intersted in 4D seismic inversion for prediction SW, Sg or pressure. I go through your github but I do not see the data input, could you please share with me about that. I am also reserching apply ML in oil&gas specially in geoscience. Many thanks for your sharing!
Could you please recommend any old workstation laptops
Hugging face,keras,kaggle 🎉🎉
Hi! I am also starting to to learn AI and ML now. Can you please help me with a few things. 1) After what amount of time will I need a better laptop or can I do it on my current laptop? Right now I have an office laptop with intel i5 10gen U Processor with integrated graphics 2) Since I am starting to learn where should I start for AI & ML? 3) Is Asus ROG Flow X13 2023 a good option? It has Ryzen 9 7940HS and Nvidea RTX 4050 6GB (60W). I want this one because it is super portable and would also help in taking notes since it is touchscreen. Also is 16GB RAM enough in the laptop? It would be great if you could help me out a bit. Thanks!
Awesome post. Can you elaborate a bit more on the mechanics of content based filter. Thanks a lot
Thank you for a wonderful work and sharing the application of ML in Geoscience. Really appreciate it.
Thanks man
He is so pretty...
want a video on classification vs clustering, ummm, more of a supervised giant vs unsupervised giant !!
Do I need upgrade my Gtx 1660Ti GPU?
Was looking for an EDC work laptop that can handle personal scoped AI ML on my own air gapped network at home. That way i can leave the models and data private and connect the laptop by cable to train the model when needed. Appreciate this extremely detailed information and how it all relates to AI and ML. My very own private air gapped AI 😀 sounds like I'm better off setting up a tower AI build and go with maybe a laptop with one of the new intel core ultras for otg edc.
Such a helpful video! I need an update for 2024 products. Can't decied on which laptop to buy.
Thanks! Honestly it mostly still holds 😅
Great explanation video! One thing I would have liked to hear more about is dominance of the Nvidia CUDA framework. It seems to me that a lot of ML python libraries are compiled to work with the CUDA framework and therefore one would need to run it on Nvidia hardware. That’s the advantage that Nvidia has because it started 20 years ago developing the CUDA framework and was miles ahead of everyone else in the field of deep learning. As you said, things like Tensorflow is just starting to have Apple silicon /aarch/arm64 architecture. But Nvidia continues to innovate with RAPIDS (CUDF vs. Pandas) and with their NVLink on their DGX A100 and DGX H100 (8 GPUs w 80GB VRAM each and all linked together). However, with respect to laptop for ML, would it make sense from the perspective of a DevOps use case? Rather than using the laptop to train a huge LLM (llama2 , falcon40b, mistral, etc.) what if I just want to test a few of the prepackage Nvidia NGC containers in docker and add some additional python packages/libraries to them and test training on a smaller dataset smaller model to confirm that things work and then move the container over to the Cloud like Amazon AWS and run it on Nvidia A100 or DGX A100 resources to do the full training? Would laptops with nvidia GPUs (for docker, kubernetes, VMware) for DevOps testing purposes be useful or not at all? Thanks.
Thank you Jesper!
Thank you 🙏 really helpful ❤❤❤
Good content, but ... why the background music?
Loved the way you explained this. I also thought of using an autoencoder to find say data that similar to other data in ways I didn’t think of. Not just finding outliers.
Thank you You just saved me from getting broke 😅 I was thinking of getting a pc but confused on what graphics card to get
Hi! I am planning to buy a laptop and have some questions. Can you share your email, because I want to elaborate and the comment section is not for that. @Jesper
on a laptop???
For windows, when you say ram.. Is refer to RAM or gpu ram?
is it big difference between dedicated or integrated? I want to buy expertbook core i7 -32 RAM BUT it has iris xe .is this gpu enough for my works as you said???
I am in a bootcamp rn. I have a masters in philosophy and bc of my interest of ethics of ai i enrolled into a 3-months intensive fulltime bootcamp for data science. I got it paied, but i have to live off of my savings. The content and pace for someone with not former CS education is tough. I learn on weekends too and it takes most of my time. Yet, at this Point, half way through, i cannot imagine to be job-ready at the end. Question: do you think people like me are even sought after in the job market (living in Berlin/Germany)?
Thanks good stuff, your a good teacher.
Thanks!
With the release of AMD's new APU line up this month. Amongst them being a neural processing unit (NPU). I was wondering whether you could do a review of this chip, either in the laptop or desktop form and compare it to any of your Apple and Windows products you own.
What is GPU?
A graphics card. "Graphics Processing Unit"
@@JesperDramsch Alright. Thanks :)
pytorch🔥🔥🔥
Really nice video bro
My man out here looking beautifull fr