What are the advantages of using BigQuery public datasets for data scientists?
BigQuery public datasets offer numerous advantages for data scientists in their pursuit of extracting valuable insights and building robust machine learning models. These datasets, which are made available by Google Cloud, provide a rich source of information across various domains, enabling data scientists to leverage large-scale data and accelerate their research and development processes. In
- Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, Advancing in Machine Learning, GCP BigQuery and open datasets, Examination review
What are Kaggle Kernels and how do they differ from local Jupyter Notebooks?
Kaggle Kernels are an essential tool for data scientists and machine learning practitioners, providing a collaborative and interactive environment for developing, sharing, and running code. They are an integral part of the Kaggle platform, which is a popular online community for data science and machine learning competitions. Kaggle Kernels are similar to local Jupyter Notebooks
- Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, Further steps in Machine Learning, Introduction to Kaggle Kernels, Examination review