Cross-Entropy Loss Function
When working on a Machine Learning or a Deep Learning Problem, loss/cost functions are used to optimize the model during training. The …
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Saturn Cloud Hosted Has Launched: GPU Data Science for Everyone!
Our new Saturn Cloud Hosted platform lets data scientists get going with cloud compute in seconds.
Read article →The Future of Computer Vision with AI Pioneer Senseye
Senseye uses Saturn Cloud to train machine learning models on GPUs at a massive scale.
Random Forest on GPUs: 2000x Faster than Apache Spark
This blog post compares using RAPIDS and Dask vs Apache Spark for model training
Supercharging Hyperparameter Tuning with Dask
The distributed computing framework Dask is great for hyperparameter tuning, since you can train different parameter sets concurrently.
Practical Issues Setting up Kubernetes for Data Science on AWS
Data science has unique workflows that don't always match those of software engineers and require special setup for Kubernetes.
Setting Up Your Data Science & Machine Learning Capability in Python
Python is a great language to base your DS/ML framework on, and allows you to avoid being locked into one vendor specific framework.
Snowflake and Dask
This article covers efficient ways to load data from Snowflake into a Dask distributed cluster.
Should I Use Dask?
It's not always clear when using the distributed framework Dask is the right choice.
3 Ways to Schedule and Execute Python Jobs
Being able to run a Python script on a schedule is an important part of many data science tasks. This blog post walks through three …