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That’s an open ended question. Deploy where? I have a few videos on the subject, check them out.

You’ll get there…

Thanks for the comment. I’ll consider this

@@lifecrunch please upload fast as soon as possible, eagerly waiting here

Thanks. I have. Hope to make time for a course some day)

Thanks for the kind words!

Thanks for watching

😁

Thank you for watching!

Hi. Thanks for watching. At which step do you get this error?

@@lifecrunch Hi thanks for your prompt reply! I get it at the end of all steps. I noticed that web search does not function on iTerm, but it does on Terminal.

Which command returns this error? Try to input source ~/.zshrc In iterm and then try google search

@@lifecrunch Thank you, this helped when I kept getting an error with doing the input "code" that you showed towards the last part of the video. I appreciate you doing this step by step process.

Yeah, that one was funny 😁

Thanks!

A little more context wouldn’t hurt

Yes, pickle is just a different container. The only thing to change in this case is the model loading part with pickle instead of joblib. The rest will be the same.

Coming up shortly.

AWS or GCP, Azure i guess, every company now require every machine learning engineer to know about CI/CD pipeline, have experience with cloud service, or at least that is my point of view from recently job interview that i got deny :>> Gotta learn a lot lot more

@@piano_tam97106 I'm sorry to hear that, thanks for the reply, good luck!

I guess I need to make a separate video on this subject. Stay tuned.

As for the processor (M2 vs M3) I would say either one is fine. But for ML tasks memory is crucial. Go with 16GB.

@@lifecrunch means for Data Science,AIML stuff M2,M3 is capable only need 16GB, okay one more question how is M1 for these stuffs?

I never used the M1 but I presume they are not that far apart. Either one will be great.

Hi. The M2 in the Air does have 10 GPU cores. But keep in mind, that you might need extra configuration of PyTorch or tensorflow to take advantage of the M2 GPU. You can read this article on the PyTorch setup: reneelin2019.medium.com/mac-m1-m2-gpu-support-in-pytorch-a-step-forward-but-slower-than-conventional-nvidia-gpu-40be9293b898 And you can watch my other video on the tensorflow configuration: th-cam.com/video/QcMAHnHlIKk/w-d-xo.htmlsi=wwOGtcUIxpdRCPVN

Thanks man!

Welcome!

Happy to help

I know that the problem exists, but I’ve never encountered it. In my case Docker had been working perfectly fine. I guess compatibility issues arise only with certain OS versions.

What do you mean? Full-screen applications automatically set the name of the app to the desktop space they are opened in

Ahh, I see what you mean. Apps have to be in full screen mode. Thanks for replying.

“export” command sets the environment variable on the left side of the assignment to the value on the right side. That means that for example export PYENV_ROOT=“$HOME/.pyenv” creates the PYENV_ROOT variable in the CLI environment each time the terminal is launched. This variable points to the location of where pyenv is installed which is in your home directory under the hidden subdirectory (.pyenv). This allows pyenv, when called from the command line, to find all your python environments configurations when you are using any of the pyenv commands.

It’s this one: th-cam.com/video/yVZg547GiYg/w-d-xo.htmlsi=m22U5QUV1sBNOGGD

That’s a low level container for the model; same as pickle, joblib, etc. On the high level it will go into one of these buckets. Thanks for the comment ,)

Thanks

Time for a new challenge

Good luck!

By Data Scientists for Data Scientists!

Thank you for watching!

Thanks 🔥

Glad you liked it!

Thanks for watching!

What do you mean by open-source model? If you have any trained model and code to inference it - you can deploy it.

Thank you for your reply, i think I got it.

I would be happy to have a look. Could you post an issue on GitHub and I will sort it out: github.com/DanilZherebtsov/verstack/issues

it's in your home directory: Macintosh HD/Users/<user name>

I haven’t touched a windows machine is a decade, so can’t be certain, but I’m pretty sure that some modifications will be necessary. You may have to change the slashes direction in all the paths.

Not really

I have benchmarked this approach to iterative imputer along with all statistical methods. Every time verstack.NaNImputer gave better results, especially comparing to statistical methods. And there's really no magic - a sophisticated model like lightgbm is a golden standard when it comes to tabular data.

Sir i already mail but no response

Thanks, but not right now

Thanks for the feedback. Unfortunately, published videos cannot be amended.

Yeah, it’s a simple trick to get ahead of others. Thank you for sharing!

For Deep Learning on small datasets and for just about any traditional machine learning task Air will perform just fine. And if you need to train a large neural network from time to time - you can use a free colab environment with a starter GPU. Get the Air!

@@lifecrunch Thank you!

It’s a good start. Plus MacBooks can swap RAM from SSD very efficiently.

This was the purpose,)

Is it still important to learn AWS and Azure?

I somehow manage my work without these two services, I prefer GCP. But overall It depends on your employer's infrastructure and workflows. You will come across one of the major cloud providers eventually.

@@lifecrunch thank you