Analyze billions of records faster with RAPIDS & Nvidia GPUs on Google Cloud’s AI Platform Notebooks.
“Of the cast of characters mentioned … the only ones every business with data needs are decision-makers and analysts”
— Cassie Kozyrkov (Data Science’s Most Misunderstood Hero)
Analysts and “citizen data scientists” are the often forgotten heroes across every organization . They tend to have a wide range of responsibilities…
My superpower toolkit: TFRecorder, TensorFlow Cloud, AI Platform Predictions and Weights & Biases
I am just going to say it. I am absolutely overwhelmed and intimidated with the growing breadth and depth of machine learning (ML) today.
- Need to build a high performant data pipeline? Learn Apache Beam or Spark and protocol buffers
- Need to scale your model training? Learn AllReduce and multi-node…
A Framework to assess GPUs for your team
When I heard the term GPUs as early as 4 years ago my mind immediately turned to computer graphics and video games. Little did I know that GPUs had found their way into other fields including data and machine learning. GPUs started allowing machine learning (ML) researchers to run experiments…
Summary
- CatBoost, an OSS gradient boosting framework , is the new kid on the block with intriguing benchmark results on model quality and training/serving speeds with CPUs & GPUs
- Catboost is simple to run on Google Cloud’s AI Platform for both the Notebook & Training services. …
