Watch this BEFORE buying a LAPTOP for Machine Learning and AI 🦾

[@JesperDramsch]

Here's how you train a model in the cloud for free: kzbin.info/www/bejne/gpWbp4OYqd59jbM

[@Matlockization]

If vram is low then can extra ram get you over the line ? Like 16, 32 or 64GB ?

[@JesperDramsch]

@@Matlockization No they're connected to a different kind of chip and aren't interchangeable.

[@Matlockization]

@@JesperDramsch I see, thank you.

[@cattnation6257]

Help me should I buy black diamond from dell

[@cattnation6257]

@@JesperDramsch please help because I am new to these developments I want to be future proof so in near future I don't need to buy more

[@alexandrevalente9994]

I understand your point but I don't fully agree about your sentence when you say (with my words) "a CPU with just a load of RAM will be enough"... I'll explain why: Though you are right saying we have to prioritize RAM, but CPU is important too...try training a model with Weka workbench (java based) on you laptop or desktop computer... a fast CPU will help. Students will do deep learning and not necessarily limit themselves in machine learning with scikit or whatever framework. so... a) Having a lot of RAM yes but with a very good CPU too... most probably when working with MLmodels is because you are probably working on an application that requires many components where all are not necessarilly ML based. You could design a NodeJS driven UI that will interact with some back end that you still develop onto your computer and that will serve the model. In order to make it in a very efficient and organised way, you will endup with containers and there is why you'll need CPU and RAM (though they are lightweight). b) because of (a) you will probably start diving in both DEVOPS techniques and MLOPS paradigm. Both of them will require automation which will also consume CPU. Especially if you build a C++ or Java application that must be built. c) because of (a) and (b) your computer will start to gain some load just to work all these things. d) Though an NVIDIA RTX is quite expensive, it can help you a lot on doing deep learning tasks and allow TF to use the onboard GPU. there you will face interresting issues. You'll probably hit during training the VRAM limits and will have to work hard but learn in order to get a really good neural network architecture running on your machine. e) You talk about using cloud, yes I agree partly, this is only for experienced people. Other will get hard time to make it work (I am not talking about Google colab or any other fantasy stuff). Therefore you will travel from (a) to (d) on your local machine. Personally I follow you and agree on what you say about using open sytems and not using macs. 2 years ago I bought a Linux Laptop with an onboard NVIDIA RTX. Because of the budget I could only afford an RTX3600. But I could have a very good intel i7 16 vcpus and 32 GBRAM. All that for less than 1800€ with a wide screen (17"). But that was 2 years ago. Today I would go for a more robust RTX card and smash 64GB or 128GB RAM directly. The only thing I think I would recommend in that... is the battery, choose good ones and chose a laptop with spare batteries. Also, because you will work with Docker containers and perhaps have many versions of the virtual environments in Python... think about the disk space => I recommend today MINIMUM 2TB of SSD. If you can afford more, better it is. Then yes using a cloud solution is also elegant but you'll still need to consider an efficient laptop too because of (a) to (e)..

[@jayakumar4633]

Could you please recommend any old workstation laptops thank you

[@alexandrevalente9994]

@@jayakumar4633 mine is a Clevo. Go to Laptop with Linux. But today, 2 years after, things have evolved a lot and i would consider run Tensorflow onto Mac OS. But i still haven't bought it. But certainly it Will be more expensive but there you get An M chip.

[@TheChanjoo]

Man, this is so so helpful :) Many thanks for patiently covering all the key concepts !

[@JesperDramsch]

Of course!

[@amdenis]

You are so very correct. Especially for newer AI developers, long training times are not the norm. We use RTX through H100’s for most of our AI development- at least on the training side. However for coding, data sci work, inference and UI/UX we all use our favorite OS, whichever that is. One thing to keep in mind for pro level large parameter/data set AI dev, you will often be using a dedicated server running in the kilowatts with AI grade TPU/GPU’s (e.g. V100’S, H100’s, etc). Whether owned, hosted or otherwise, few jobs will be run locally.

[@truthmatters7573]

This channel needs way more subs! The content is high quality / well explained. :)

[@waynelau3256]

I got myself an m1 air a couple of months ago. One thing I dislike is that tensorflow has multiple issues with Mac. It's better to learn about scaling and deploying first, because clouds are always available, rather than throwing a large amount. As for whether it's worth it when you're very advanced in the field, I'll update when I get there 😂 Side note I have a 3070 but I realised model design, preprocessing plays more of a part in ML.

[@JesperDramsch]

Agreed. Thanks for the follow-up!

[@waynelau3256]

@@JesperDramsch thanks for replying, you made want to leave an update since the time I commented. The M1 air is very strong when it comes to smaller models, especially if you're working with scikit learn. Very snappy with pandas as well. But leave the LLM/ CV models to the cloud or a GPU. Just one month after the comment, I ssh/remote into my home PC for most of my ML work. Or do my training on my work server. Overall, I personally feel that one should not buy a laptop while considering for ML/AI. It's not worth it. Get what suits your use case. For me I'm quite happy with a smaller screen as I need to carry my laptop around and I work on the commute. I also do not game so mac is fine. Hope this helps someone out.

[@JesperDramsch]

@@waynelau3256 love this Wayne. It's similar to my experience. Happy to train scikit-learn on my phone. Not gonna get a laptop for DL / LLM

[@tutan1997]

Already owned a Acer Nitro 5 with RTX 3070 mobile + R7 5800H. Still watch you full video :). And my laptop can train 90% types of model after I cramp up the virtual memory => 80 GB (from 16GB of RAM 😂). I'm very satisfied with my $1500 laptop

[@babyjvadakkan5300]

How do u integrate 80gb ram into a laptop 🤭

[@yagoa]

The M1's run very cool and you don't need to worry about running long tasks even in the fan-less one. All 1st gen M1's have a maximum of 16GB of (V)RAM(including the iMac), M1 Ultra has a maximum of 128GB of (V)RAM. Unified Memory also removes the PCI bottleneck between VRAM and RAM, with a bandwidth of up to a combined 0.8TB/s.

[@beytulk]

How is the compatibility of python packages? As I see on the internet, many people still face issues. I'm willing to buy an m1 and pursuing a career in data science and ml, so I will be using python a lot. Also I'll use docker for some of my classes in school. I'm very very indecisive because of the incombatibility issues.

[@yagoa]

@@beytulk There are not any alternatives were you would have any type of portable device(w/o being plugged in all the time to run anything locally). I have not had any issues, I think the issue has been that pytorch was slow to update, by the time you have your system up I don't think anything will be missing. About 0.1% non M1 software on my system now, at launch it was about 40% so it has been a really fast transition from a dev perspective.

[@forlorn8025]

​@beytulk which laptop did u buy?

[@yagoa]

@@forlorn8025 M1 Air 16GB and thermal modded it at launch, no issues

[@yagoa]

@@forlorn8025 M2 and M3 are just overclocked slightly more efficient M1 versions M4 will probably be the first worthy upgrade for ML with acceleration on CPU and GPU + better NPU

[@thiagocavalcante2366]

For PhD students, maybe it's better to access a University PC from your MacBook from home :D

[@JesperDramsch]

Definitely, as long as the university has a GPU server or GPU desktops. It's exactly what I did actually!

[@aquaRuHoshino]

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!

[@slliks4]

Thank you You just saved me from getting broke 😅 I was thinking of getting a pc but confused on what graphics card to get

[@kingfukj]

Great advice. Because I've been looking for a second machine for my deep learning research. Now, I will switch my strategy from a local machine to the cloud. Thanks.

[@catherineokon9918]

I am a complete computer novice and this video was soo helpful. Thankyou

[@JesperDramsch]

I'm so glad to hear this!

[@NiiAnikin]

We're due for an updated video after the m1x Mac

[@JesperDramsch]

Isn't the successor to the M1 the M1 Pro and M1 Max after all instead of m1x?

[@joecincotta5805]

This was the first video of yours I ever watched and when I started I thought, naaah a new MacBook Pro could surely be fine for training models. I can't tell you how wrong I was. The hype is very different from reality and you are 100% correct. I have had to embed so many special cases into my training pipeline to support MPS (METAL) and even then support for torchvision is still incomplete in V2. I ended up going for an rtx4090 on a separate headless Linux server and it reduced training time on my use cases by an order of magnitude.

[@JesperDramsch]

I appreciate that feedback!

[@alzeNL]

METAL is worthless IMHO - having a mac here in multiboot OS, the Radeon chips in the imac dont really hold a candle to the nvidia GPU's for ML.

[@jonconnor6697]

ur right my laptop is really aerodynamic... i find myself playing frisbee with it all the time

[@JesperDramsch]

Ultimate frisbee or fetch with a retreiver dog?

[@ashmitdhakulkar2826]

​@@JesperDramschThe ultimate throw and regret kind

[@HelloMedicAnkit]

Laptops are aerodynamic 🤣🤣🤣🤣🤣🤣...

[@JesperDramsch]

💸

[@TheStallion1319]

I liked the expression 😅

[@mawkuri5496]

is it good to use the x-elite notebooks for machine learning and deep learning?

[@RobsonLanaNarvy]

Video recommended days after I bought a full Desktop Computer

[@JesperDramsch]

Don't feel bad. I'm still rocking a full desktop PC and I wouldn't change for the world.

[@superfreiheit1]

What about RTX 4090 for deep learning?

[@forentrepreneurs3852]

your GEFORCE RTX is an NVIDIA card right? got confused!

[@moonlightsoldier8443]

Technically g in gpu stants for general it was just used for graphics alot so it shifted now its returning to true aka general but you need cuda and tensor cores

[@nvmvel]

Should I consider buying a normal Laptop with Intel Iris Xe if i work in AI , ML, DL or some gaming laptops Nvdia RTX , GTX gpus ? Btw I am a non gamer

[@Sci-techsaga]

Which laptop did you buy

[@nvmvel]

@Sci-techsaga Asus tuf 😅

[@jayakumar4633]

Could you please recommend any old workstation laptops

[@pr0l0gix]

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!

[@divinejakiro3656]

For windows, when you say ram.. Is refer to RAM or gpu ram?

[@AamirSiddiquiCR7]

Just discovered your channel and I'm already a fan of you. I have recently started learning data Science, currently learning python and statistics. Looking forward to your guidance through this channel.

[@fianekosaputra417]

So, what laptop is your choice?

[@AamirSiddiquiCR7]

​@@fianekosaputra417 Right now I'm using my old samsung np300e5c laptop to learn python. I'll be buying an AMD 6000 series laptop with rtx 3060 once it comes out

[@JesperDramsch]

Thanks so much Aamir! Good luck on your journey.

[@joelsabiti4828]

How far have you gone since?

[@galactus3136]

Thanks a lot for making such a helpful video man.

[@JesperDramsch]

Thanks for stopping by! Glad it's so helpful!

[@subashbalan772]

Hi given that I will do the learning on cloud but it may not be always available while travelling. So, what minimum configuration would you recommend. I am a beginner and student . I travel so I have to also carry a work laptop. portability is a concern. I thought MacBook Air with m1 but ram could be concern. Can you suggest minimum ram, processor, gpu(if needed) and other.

[@alpha001ful]

Tensorflow has issues with M1/M2 macbooks.

[@AaronGayah]

Thank you for this. Is there a need to offer an update to this video given that it is now two years later?

[@JesperDramsch]

Maybe replace M1 with M2 that's it.

[@ShotterManable]

Nowadays with LlaMA models we might can run some models on our laptops

[@JesperDramsch]

Llama has 65 billion parameters. Are you sure?

[@orca6930]

Minisforum MS-01 i9 13900H 32gb ddr5 ram (max 96gb) and 1tb for 900euro is a great base to start if you dont want a big machine ....(with cloud service)

[@chrisk7332]

Agree with many things here, great video! However, using cloud GPUs is cheap at first sight, but letting a model train for days on cloud GPUs might be much more money than your electricity bill and cost you in the hundreds (with a sizeable model) and should be considered into the whole calculation. Cloud GPUs range from 0.2 €/hr (single 3090) up to 4€ /hr (multi-A100), a discrete GPU might pay off in less than a year depending on your project.

[@JesperDramsch]

It's a consideration for sure. But if you're running a model for multiple days straight, I would try and dissuade from a laptop regardless and go for a desktop or server-solution. It'd be really annoying to have a laptop that has to stay on for days on a power outlet.

[@chrisk7332]

@@JesperDramsch you are right - I kind of ignored the fact your specificly talking about laptops - more used to SSHing next to my GPU

[@JesperDramsch]

Agree there

[@primepaturi]

could you help me , ERAZER MEDION laptops are good for neural networks?

[@giuseppenucifora9745]

@JesperDramsch I'm just starting out with some ML/AI projects, and I already know I'll be working with fairly large datasets. I'd be interested in hearing your opinion on whether it would make sense to use my current Mac Pro with these specs by installing an Nvidia RTX 4090 and running Linux: 3.3 GHz 12-Core Intel Xeon W 256 GB 2933 MHz DDR4 Or do you think it would be more efficient to build a separate setup? Obviously, building a separate setup would cost me more since I work with Macs and I wouldn’t want to sell my current Mac. What do you think?

[@joserubio3036]

So for a windows user the lenovo ideapad 5 would be a perfect option you think?

[@latlov]

How about running Mindspore on Macs and laptops with Nvidia?

[@duylevan304]

I tend to buy a laptop with ryzen 7 pro 6850U. Is AMD good for who begin learning machine learning ? Hope your response.

[@rebecasarai87]

Loved this video, Jesper. Thank you!!! I’m happy I came across your channels

[@JesperDramsch]

Thank you, Rebeca! Welcome in.

[@peternagy3227]

good video! keep up the good work

[@mahanabotorabi9029]

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???

[@alexeiw108]

Thank you Jesper!

[@eyupyerlikaya8354]

So, what is your suggestion for a person who is planing to get a laptop for ML/DL workloads?

[@piotrd.4850]

Don't. Buy MacBook Air, decent display, Ryzen based PC with 64 GB of RAM or more and any NVidia GPU.

[@bansterref]

Any market recommendations? I waa told the Lenovo Yoga is a great buy, I am new on this topic. What do I need to get on memory etc?

[@tolulopeoyemakinde3068]

Does the new AMD GPU work with deep learning ?

[@JesperDramsch]

It's getting better, but often it doesn not.

[@indylawi5021]

Nice coverage of laptop configurations for ML.

[@JesperDramsch]

Thanks!

[@sharmarahul17]

Excellent information!

[@clueno4426]

How is rtx 2050

[@joecincotta5805]

This was really cool. I bought old server GPU and put it into a big desktop PC Case with a hydroponics fan to cool it down. Got a 24gb tesla card for usd$300 that is about as fast as a 1070ti

[@JesperDramsch]

That's very cool!

[@ludotosk3664]

That's a good one, you can do deep network also on a cpu and for small models is even faster then a gpu. About using the cloud I have a different take, I'm using one computer for browsing and ome for training. 😂

[@paologreco9412]

Hi Jesper and tank you for your video, informative as usual. I'd like to ask you what you think of a laptop with a Ryzen 7 5825u and no GPU, but with the intention of connecting a "prosthetic" desktop GPU in the future through a pcie connector; I'm talking about something like the EXP GDC "THE BEAST". Or do you think it's easier and better just using an external GPU through thunderbolt 4?

[@LewiUberg]

I trained a CNN on the MURA dataset (40k mri’s). My MacBooks battery swelled and the whole top case had to be changed 😅

[@LewiUberg]

Btw! I used my macs gpu with plaidML, but it doesn’t look like it’s being maintained anymore 😫

[@JesperDramsch]

That's terrifying. I hope it was under warranty 😱

[@LewiUberg]

@@JesperDramsch yes! Or else I would be crying still 🥴 now I write most of my code locally, then upload to colab for training.

[@JesperDramsch]

Very relatable.

[@piotrd.4850]

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.

[@bahareh_rezaie]

Such a helpful video! I need an update for 2024 products. Can't decied on which laptop to buy.

[@JesperDramsch]

Thanks! Honestly it mostly still holds 😅

[@paul479]

2024 is this advice still relevant? Eg using only nvidia for deep learning

[@JesperDramsch]

Mostly yes. Situation is better with AMD and LLMs make GPUs more central to the equation

[@RobertoGutierrez-tj4gn]

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 😅

[@blenderpoly9826]

How many gb of ram should the laptop have for neural networks

[@arnaldovisco]

Nice video. Very clear explanation

[@JesperDramsch]

Thank you!

[@vifareld]

That was really helpful. Many thanks

[@JesperDramsch]

Glad it helped!

[@Ricardo_B.M.]

Great video Jesper. Can I ask u? Wud be better laptop with i7 1260p and 64gb Intel Iris graphics xe or i7 12700h, 32gb, Intel Iris Xe too but having gpu RTX 3070 8gb? Second little more price about 250€. Thx for your help.

[@I-H4X]

I would also like advice on this. Please.

[@jorge1869]

RAM is the key. At least, from my experience in ML.

[@kingj5983]

how about the performance of RTX2050 in deep learning? I'm considering a I7-12700H + RTX2050 laptop

[@juliagschwend]

Very helpful! Thank you so much.

[@JesperDramsch]

Glad it helped!

[@curtisthompson7674]

Hello I am new i mean new what is the best computer for ai laptop or desktop to do crypto and stock picking i was told to start with a lapton so i can learn the data and software stuff what is your thoughts

[@HaunterButIhadNameGagWtf]

I'm preparing to train on two laptops, Dell Precision 7550 with Quadro T1000 dedicated graphics, 64MB RAM and Windows or Dell Precision 7520 with 16GB RAM and Quadro M1200 (it's not even supported by Rapids, so we'll see). Maybe this year I will buy PC with nVidia 3070 or other new card, depending on the market offer (we'll see how Intel ARC will behave with AI).

[@aymen5777]

Were they any good? (The dell precision laptops)

[@mateuscarvalho5959]

Thanks a lot, man! Very useful tips

[@JesperDramsch]

Glad I can help

[@pratikthakur5052]

I am a Data Science student and my laptop specs are low but can I use only cloud for the projects?

[@JesperDramsch]

At least in the beginning you should, yes.

[@pratikthakur5052]

@@JesperDramsch Okay Sir, thank you !

[@animegod567]

Thank you for this. I'm interested in ML for advancement in my career and your explanation is helpful.

[@JesperDramsch]

I'm glad! Thanks for stopping by!

[@mohdfarhannawaz]

Very very helpful 👏. Thanks alot .

[@JesperDramsch]

Glad to help!

[@auriuman78]

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.

[@wizardscrollstudio]

The new Intel Xe gpus have support for machine learning via OpenVino. Intel seems to be pushing this really hard. In fact the whole Xe gpu architecture is designed around being multipurpose matrix specifically for doing lots of computation necessary for ml.

[@zee4680]

Will the Acer swift X be a good choose ?(It has a dedicated GPU)

[@Little-bird-told-me]

Most people keep pondering whether to buy an SUV when they actually need is a cycle.

[@oskarbarrera1420]

hello, I really loved your video, I have a question, I am a computer sciences master degree student and I am taking courses like machine learning, deep learning and artificial intelligent, do you recommend the macbook air M1 or should I go for a pro or promax? I need it for my studies. thank you very much for your help.

[@ajaypatro1554]

What about m1 now in 2023

[@JesperDramsch]

Same story. Better support for metal but not everything's quite there.

[@darazialavia]

Wow thank you a lot i feel like i understand a lot better

[@PatagoniosO]

great video, thank you!

[@JesperDramsch]

Thanks!

[@meechokechuedoung5759]

I try the classical ML in my old Linux machine. It works very well. As you said in the video, it is a better idea to run Deep Learning in Cloud service. BTW, if I create and use my own data for creating a Deep Learning model in the cloud service, it will be guaranteed that my model and my train data set will belong to me?

[@JesperDramsch]

That's awesome. Normally yes, if you go with any of the mentioned services it's your property

[@moshivuu]

I'm starting machine learning with a neural network for a school project, he 😅. First I start with Google Colab because there are too many things to install/setup and I wanted to omit that tedious step. But... I exceed the limit of GC, so I decided to test the model on my laptop (I'm kind of stingy). I looked how to use de GPU on the env created for this task (again I'm starting in ML, just knew a few of python) and I discovered more packages/libraries to install and deal with the compatilibily with windows, my Nvidia card, ... 🤯 (regular user). It's too overwhelming, I even considered to partion the disk for Linux OS or use a VM, 'cause I need some programs that don't run in Linux. Just too much. I'm too grateful for this video, it has been my lifeline in a moment of despair 🥹🥹🥹

[@JesperDramsch]

Yeah, it can be a nightmare to install everything. Glad this was helpful!

[@muhammadtaha4115]

Hello @Jesper, Some python library's use Intel mkl and other Intel specific optimization ..... How much performance does this effect in your experience when compared to AMD. Should we just avoid amd cpus for ml work?

[@RC-qi6hs]

Is that legion 7 you are using. Im a student and i am planning to get one.

[@JesperDramsch]

I'm afraid not, sorry.

[@naveen12]

What's your take on new macbook pro models, am planning to get the 14 inch base model, will that be enough, should I upgrade anything in it like Ram, more CPU and GPU cores?

[@JesperDramsch]

What is your main use case? NLP, computer vision, tabular data?

[@kevinmccallister7647]

@@JesperDramsch I'm looking at picking up the new Mac book pros and my main task is learning ML and DL - I'm interested in computer vision object recognition, speech to text and NLP what would you recommend?

[@rajyadav2330]

Best comments ever on buying laptop for ML

[@JesperDramsch]

Thanks Raj!

[@jiaruisong4024]

That is really helpful!

[@JesperDramsch]

Thank you!

[@manuelkarner8746]

helpful video thanks, are you a german native ?

[@JesperDramsch]

Yeah, I'm from the North. Thanks!

[@biohazel]

Very good, thanks.

[@JesperDramsch]

Thanks hazel!

[@biohazel]

@@JesperDramsch I ended up sticking to Colab and buying a Raspberry Pi to assemble a Bitcoin node instead. Indeed, no need to go too far on a hardware trip, especially for starters.

[@gorkemhazarr]

Dude i dont know is it enough for me? For beginner = rtx3060 , 32gb ram , i7 12th gen , 512gb ssd (Hp Victus 16) . Is it ok for me? What do u think?

[@JesperDramsch]

That's a pretty beefy PC. I'd hope it works for most consumer models

[@I-H4X]

@@JesperDramsch Will a i5-12450h with a gtx 1650 and 64gb ram be okay?

[@johnshaff]

I do not suggest a macbook for ML. I have a fully beefed out M1 Max, even with big ML frameworks like tensorflow starting support ARM, that's not main issue. The main issue is the package manager. Your computer will be your "entire" development environment, and developers know the ass-pain of dependency hell. The apple package manager is absolute garbage. You may be able to use an updated framework for M1, but that doesn't mean you'll be able to use the code everyone else is producing with other frameworks and libraries, or more importantly the prior version of pytorch or tensorflow. Get a PC and install a linux distro with a good package manager.

[@92balajiraghuram]

Aashi linux 🤔?

[@frank996]

If I have a pc with ryzen processor and amd integrated gpu can I still use it to access a cloud service? Sorry for the dumb question, I'm fairly a noob in this

[@JesperDramsch]

No worries, we all start somewhere. The cloud is literally a different computer, so as long as you have internet and some sort of PC you're fine!

[@Music_Time-21n]

Thank you very much!

[@TymexComputing]

In fact macbook are not that expensive - maybe 1,3 of a dell or 2x of a new Acer :) but a little used macbook with nice layout/look can go well under 1000euro. I still dont recommend but they are not expensive that much - if you dont need 10 macbooks

[@bilal7217]

Hello Jesper, Thank you so much for the fabulous, informative and helpful video ever made on KZbin about Machine Learning laptops. But wait I've a question for you. I'm thinking about buying an M1Pro 16 inch with 16gb of RAM base model and use it for machine learning purposes, of course I wanna keep this laptop for a while but I'm afraid buying it then find out that it's not powerful enough to handle machine learning and data science stuff. Well I'm between the hammer and the anvil. (The costs and the needs). I hope you're gonna be able to help me choose and take a final decision. Thank you Jesper!

[@xdakiXtritex]

What a great video!

[@Olimpico230]

what shoud i get for my graduation project. My teacher wants me to use the below techniques: -Logistic Regression -Support Vector Machine -Random Forest -Decision Trees

[@rejuwanshamim1870]

can i use amd latest gpu RX6000 series to learn deep learning and machine learning???? hope to get your reply soon

[@JesperDramsch]

At the moment it's still very difficult on Radeon cards. So for now I'd say no.

[@samfitness7198]

what about amd gpus like r5500m ?

[@JesperDramsch]

For now AMD GPUs will not work, it has to be a Nvidia GPU. Also mobile GPUs often have less oomph than their desktop counterparts (the m after the number).

[@muhammadyusoffjamaluddin]

Lovely video! Can you make a video about Open/Free Website and Database to test/learn Machine Learning Model? Please...

[@JesperDramsch]

Definitely. Check out my shorts for sme inspiration on that already!

[@vijaykumar-qi8ml]

I am working in java, python no-sql & bigdata. And want to learn NLP & deep learning. I'm looking for a durable laptop. My intention to buy a gaming laptop is learn to deep learning only. Not for gaming. I would like to buy Omen Ryzen 5800H with Rtx 3060 6gb or Legion Ryzen 5600H with Rtx 3050 4gb. I have two questions- 1. Will you suggest to buy a gaming laptop to learn ML/DL? 2. Suppose I am working on a java application, a non gpu task on that laptop. Will gpu run all the time? Will it effect the laptop longevity due to heat generation? Please advice.

[@JesperDramsch]

6Gb and 4GB is very small for modern-day applications, like I said in the video.

[@himavanthkumar5269]

Hi I am in the same situation like you - please suggest best laptop. Can I go for gaming laptop.

[@Sci-techsaga]

Which laptop did you buy ​@@himavanthkumar5269

[@felex777]

Cool video. I had a choice to make between 8GB and 16GB mac. I will take a 16GB now.:) Thank you!

[@JesperDramsch]

Love to hear it!