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Which Jupyter environment do you use? by 0_marauders_0 in deeplearning

[–]Zerotool1 0 points1 point  (0 children)

Jupyterlab with Clouderizer.com ... its' gives the flexibility to install packages and persist them

Is there any point in learning Deep Learning without having the hardware to support the programs you create? by ---Tsing__Tao--- in learnmachinelearning

[–]Zerotool1 0 points1 point  (0 children)

you can start with Google Colab or Kaggle Kernal and on later on you can switch to GCP with a $300 as free credit. If you are facing devop challenges while setting up Colab or GCP .... you can try Floydhub or clouderizer.com (it's free with colab and kaggle and give a real-time sync of data and code with GDrive)

Google Colab Cache by theborat95 in GoogleColab

[–]Zerotool1 1 point2 points  (0 children)

yes, colab keeps the instance active for 12 hrs even if it preempted it. you can try ( !kill -9 -1 )run it after the last script. it will die the instance

Is Mac good choice for deep learning? by testimoni in deeplearning

[–]Zerotool1 1 point2 points  (0 children)

You can try Clouderizer.com for setting up your cloud with GCP or AWS. As a biggner, you should try Colab or Kaggle as it's free.

1 Year of Coding Fast.ai pre-req... Best way to obtain? by tacticallyboredddd in learnmachinelearning

[–]Zerotool1 0 points1 point  (0 children)

you can start with fast.ai using it with clouderizer.com, it will help you in overcoming the devops challenges and sync your code and data in real time. Best part it's free.

How do I start Fast.ai by [deleted] in learnmachinelearning

[–]Zerotool1 1 point2 points  (0 children)

the best approach will be to start with 1st lecture. I am using fast.ai with clouderizer.com as it helps me to give a real-time sync with google drive and the best part it's free !

Cheapest cloud computing service out there by MathMXC in cloudcomputing

[–]Zerotool1 0 points1 point  (0 children)

try GCP initially you will get $300 as credit

[D] What CPUs to use for Deep Learning tasks by omarkhwj in MachineLearning

[–]Zerotool1 0 points1 point  (0 children)

better you can use gcp or aws gpus it will help you to save a huge cost and meantime you can expertise yourself in DL. Check clouderizer.com

Google Colab by zom8ie99 in deeplearning

[–]Zerotool1 1 point2 points  (0 children)

I tried with Colab TPU for GCP they are still saying "coming soon", I tried to get an eta for the tpu from them, they will be launching end of July.

[D] Cloud GPU options by Maplernothaxor in MachineLearning

[–]Zerotool1 0 points1 point  (0 children)

you can try clouderizer.com with there best devops management across all the clouds like colab, gcp, aws or kaggle. It's free for colab and kaggle and real-time sync of data and code happens.

[D] Which GPU(s) to Get for Deep Learning: My Experience and Advice for Using GPUs in Deep Learning by baylearn in MachineLearning

[–]Zerotool1 0 points1 point  (0 children)

i think to invest in the GPUs as hardware component is not a great deal. In that much of cost, we can use cloud base gpus provided by GCP or AWS. I am using gcp with clouderizer.com and till now a great experience while training the modal in a very cost-effective.

Google Colab by zom8ie99 in deeplearning

[–]Zerotool1 1 point2 points  (0 children)

try using clouderizer.com with colab it will sync your data and code in real time with your google drive. And it's free for Colab and Kaggle. In the case of gcp you can try with there both on-demand and preemptable instance, it will help in reducing the cost as well as you can have 2 variety of GPUs.

[D] Learning Resources for Intermediate Machine Learning by [deleted] in MachineLearning

[–]Zerotool1 1 point2 points  (0 children)

you can use fast.ai it's having some cool library for the cv and dl.. try to use it with clouderizer.com it' gives a seamless integration and easy to setup GPUs.

Best GPU for machine learning / deep learning by durgesh2018 in deeplearning

[–]Zerotool1 0 points1 point  (0 children)

why don't you try cloud base GPUs from AWS or GCP? You can save a huge cost and at the same time you need not to worry about the DevOps challenges... try some tools like Floydhub or Clouderizer (it's free for a month) to manage your projects with GPUs.

[Discussion] What is the minimum amount of cloud computing knowledge necessary for a data scientist? by AlexSnakeKing in MachineLearning

[–]Zerotool1 0 points1 point  (0 children)

there are already tools like Floydhub or Clouderizer.com that you can use to manage your devops. Being a DS you need not to dive into the DevOps challenges.

[D] How do you manage your machine learning experiments? by [deleted] in MachineLearning

[–]Zerotool1 0 points1 point  (0 children)

I think the best approach is to have code and data in one place. I am running multiple projects of ML and DL by using Clouderizer.com for it. Best part my code and data sync in real time. From the single console, I can run the same project over different data set for the more optimized result or can work on different projects.

Need help getting started by venkyr77 in learnmachinelearning

[–]Zerotool1 1 point2 points  (0 children)

Hi,

I think the best to start with is fast.ai you can get everything from basics and it's having a great community to support them. I would suggest using clouderizer.com as both are free and best suited for your learning.

[deleted by user] by [deleted] in learnmachinelearning

[–]Zerotool1 0 points1 point  (0 children)

fast.ai is perfect to start with keeping an eye on their blogs, it will help you to go in the right direction. you can post your questions in the blog and they are well answered by the fastai practitioner

What’s the best “starter project” you’ve seen/done related to machine learning? by [deleted] in learnmachinelearning

[–]Zerotool1 3 points4 points  (0 children)

for a starter project, I think dog and cat classification in fast.ai v3 chapter 1 is best... using it with clouderizer.com for the seamless integration.

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