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Data Science Guide
Read more about data science, business intelligence, machine learning, and artificial intelligence and the role they play in the data cloud.
What is Machine Learning?
Machine learning is an application of artificial intelligence (AI) that enables systems to learn automatically and improve through experience without the assistance of explicit programming.
A CI/CD pipeline is a software development or engineering process that combines automated code building and testing with deployment. Learn more.
What is IOT
In this guide we are talking about what Is IoT, how does it work, and what is the business value of IoT Data. Learn more.
Prediction Analytics or Predictive Analytics
Predictive analytics, AKA prediction analytics, leverages data from both diagnostic and descriptive analytics to help predict future trends.
Machine Learning Platforms
Machine learning platforms provide users with the tools necessary to develop, deploy, and improve machine learning — specifically, machine learning algorithms.
Data Science Pipeline
A data science pipeline is the set of processes that convert raw data into actionable answers to business questions.
Feature engineering is the process of using domain knowledge to transform data into features that machine learning algorithms can understand. Learn more here.
How a Data Ingestion Framework Powers Large Data Set Usage
If you’re new to data ingestion, read on to learn the different types of ingestion and how it relates to data integration and its methods.
What is Spark TensorFlow?
Spark Tensorflow: TensorFlow is an open-source project library from Google for machine learning
Snowflake Workloads Overview